Independent AI education intelligence
Academies.ai helps professionals compare credible AI learning paths by outcome, format, depth, and cost, without the marketing fog.
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As shown on 16 October 2026 · Latest program fact check 15 October 2026
The latest check applies to an individual program; each record keeps its own review date.
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Start with your destination
We organize programs around real professional outcomes, then review the details that affect value: curriculum, access, proof, and price.
For technical builders
Compare practical programs covering machine learning systems, generative AI, agents, and production deployment.
For a focused application project, LLM Engineering in Practice with Streamlit and OpenAI covers an interview simulator and requires intermediate Python and familiarity with APIs.
For leaders and founders
Find focused executive education for strategy, governance, adoption, and responsible AI leadership.
For creative professionals
Explore hands-on learning for content, product design, automation, and modern creative workflows.
Source-checked directory
Every listing links to a first-party provider source. Commercial relationships never determine order or inclusion.
Payment scopes differ; prices are not completion costs.
Yale School of Management Executive Education
USD 2800 Checked
Yale School of Management Executive Education offers this six-week online programme through GetSmarter for experienced supply chain leaders. It covers operational innovation, AI and IoT applications, resilience, responsible supply chains and transformation leadership. Weekly study combines self-paced materials with assignments, live sessions and discussions. The stated audience has a strong grasp of supply chains and at least a decade of relevant experience. Successful participants meeting the handbook requirements receive a digital certificate of participation.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, tuition is USD 2,800. An alternative interest-free schedule shows two USD 1,400 payments due 19 January and 18 February 2027; the first payment is processed at checkout and the amounts and schedule are finalized there. These installments are not additional charges.
Stanford Online
USD 1425 Checked
Stanford Online offers this two-course programme through Stanford School of Medicine and Stanford Medicine Health Education. It teaches healthcare data foundations, model development, deployment and ethical considerations. Topics include clinical text, electronic phenotyping, time-series data, predictive models and deep learning. The self-paced programme addresses clinicians, researchers and data professionals; coding experience is helpful but not necessary. Successful completion of both courses earns a blockchain-verified Stanford Certificate of Achievement. Individual-course and All-Access enrollment routes have different access periods.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, All-Access costs USD 1,425 with a full year for both courses and 365 days of teaching-assistant email access. Individual courses cost USD 715 each with 60 days to complete and 60 days of teaching-assistant email access. The page calls All-Access a one-year subscription, but does not establish automatic renewal or a recurring charge.
Shareable on LinkedIn or other social platforms and verifiable by employers.
Stanford Online
USD 3135 Checked
Stanford Online and its Institute for Human-Centered Artificial Intelligence offer this on-demand programme for executives, leaders and professionals. Three required courses cover technical foundations, business applications and human-centered generative AI. Themes include agentic and multimodal systems, evaluation, transformation and responsible governance. Successful completion of the three courses earns a blockchain-verified Stanford Certificate of Completion. Learners can choose individual-course access or an All-Access plan.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, All-Access is USD 3,135 for 365 days. Alternatively, individual courses are USD 1,045 each with 60 days to complete and 60 days of teaching-assistant email access. All-Access can be paid in installments of USD 1,254 immediately and USD 940.50 in one and two months. These are alternative payment routes, not added fees.
Shareable on LinkedIn or other social platforms and verifiable by employers.
Saïd Business School, University of Oxford
USD 3390 Checked
A 12-week cohort-based online executive programme for senior professionals organising AI strategy, governance and operating models. It combines recorded Oxford faculty content, five live cohort sessions, peer interaction, three modules and a required summative quiz. The total programme fee is USD 3,390, as shown in the United States on 25 September 2026; instalment amounts are not established in that capture. No coding background is required, but the stated audience generally has at least seven years of experience. It is not a degree. Weekly effort, taxes, credential expiry and native shareability are not established.
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IBM
No accepted price
The IBM RAG and Agentic AI Professional Certificate on Coursera is an advanced-level program designed to equip learners with skills in generative AI. Instructed by IBM, the curriculum teaches students to use retrieval-augmented generation (RAG) and multi-agent systems to build intelligent applications. Learners gain hands-on experience integrating tools with AI agents, orchestrating workflows using LangChain and LangGraph, and utilizing frameworks like CrewAI and Model Context Protocol. The self-paced online program has a headline estimate of 8 weeks to complete at 3 hours a week, with another section estimating 3 months. Earning the shareable provider-issued course certificate requires completing the 10-course series and a final capstone project. As shown in the United States on 15 October 2026, the program is taught in English.
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Facts checked 15 Oct 2026
No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available' as shown in the United States on 15 October 2026.
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IBM
USD 59 Checked
IBM Generative AI Engineering Professional Certificate is a beginner-level, online series of 16 courses offered by IBM on Coursera. The overview estimates six months at six hours per week, with self-paced study. Basic computer literacy is the stated background requirement. The curriculum moves from AI concepts and Python through data analysis, machine learning, deep learning, transformer models, fine-tuning, and applications using RAG and LangChain. Hands-on work includes Python applications, model training, and a guided generative AI application project. Completion provides a shareable IBM certificate. Consider it if you want a multi-course introduction to technical generative AI development; it is not for someone seeking only a short, non-coding overview of AI tools.
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Facts checked 15 Oct 2026
Coursera Plus Monthly, USD 59 a month, cancel anytime. Access pricing, not a completion total. As shown in the United States on 15 October 2026.
Shareable certificate; LinkedIn profile, resume/CV and social media.
IBM
No accepted price
The IBM AI Enterprise Workflow Specialization on Coursera is an advanced-level program designed for existing data science practitioners seeking to build and deploy AI solutions in large enterprises. Instructed by IBM, the six-course curriculum covers data ingestion, exploratory data analysis, feature engineering, model training, and enterprise model deployment using tools like Python, Jupyter, Apache Spark, and IBM Cloud technologies. Learners gain hands-on experience through case studies focusing on a hypothetical streaming media company. The self-paced online program has a headline estimate of 2 months to complete at 10 hours a week, though an FAQ section estimates 35-40 hours of total study. Completing the program prepares learners for the IBM AI Enterprise Workflow V1 Data Science Specialist certification exam. As shown in the United States on 15 October 2026, the program is taught in English.
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Facts checked 15 Oct 2026
No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available', while the FAQ states 'No, you cannot take this course for free' as shown in the United States on 15 October 2026.
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IBM on Coursera
No accepted price
An online IBM program on Coursera covering machine learning, deep learning, big-data workflows, neural-network frameworks, and applied projects. It is aimed at technical learners and awards a professional learning credential, not an academic degree or independent proof of production work experience.
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Outside the US, local currency and pricing are shown at checkout.
Lowest exact verified upfront plan route only for programs whose own page independently shows Included with Coursera Plus; not a global-cheapest claim and not a guaranteed completion period. The IBM AI Engineering program page independently displays Included with Coursera Plus.
Harvard Extension School
No accepted price
Harvard Extension School offers this two-course online graduate microcertificate in human-centered design and creative AI. Learners study design and prototyping of interactive digital experiences, including usability, accessibility and ethics. Enrollment begins by registering for a course without an application. Both courses must be completed for graduate credit with at least a B in each, within two years. At least one course must be taken in Fall 2026 or later. The credential can stand alone or contribute toward the specified graduate certificate and degree pathways.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the page displays tuition of $7,160. It does not explicitly identify an ISO currency in this capture, so no numeric USD price is accepted. Additional fees and course-specific charges are not established here.
DeepLearning.AI
No accepted price
DeepLearning.AI and AMD offer a practical course on transformer behavior, internals and deployment. Three modules cover autoregressive generation, attention and model layers, then GPU inference and optimization. Visualizations, labs and quizzes address sampling, structured output, quantization, KV caching, flash attention and speculative decoding. Learners should understand basic neural network concepts and have experience using LLMs. Pro members can earn a course certificate; membership is a separate recurring access cost.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the course FAQ quotes DeepLearning.AI Pro at USD 30 per month billed monthly, or USD 25 per month billed annually. These are recurring membership quotes, not a fixed completion cost; an annual charged total is not separately stated and is not calculated here. Taxes may apply by location. The certificate requires Pro.
DeepLearning.AI
Free Checked
DeepLearning.AI presents a beginner course on evaluating LLM application vulnerabilities with instructors from Giskard. Learners examine manual and automated red teaming, testing at scale, LLM-assisted assessments and a full assessment example. The focus is testing and improving LLM applications, rather than a guarantee of security or regulatory compliance. Basic Python knowledge is recommended. The page separately identifies free beta access and Pro accomplishments.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the visible page offers course access free for a limited time during the platform beta. The end date is not stated. Pro accomplishments are separate; no free credential, perpetual free access or Pro membership price is inferred.
DeepLearning.AI
Free Checked
DeepLearning.AI and Flower Labs introduce federated model training with Flower and PyTorch. The listed lessons cover the training process, tuning, data privacy and bandwidth. The page places this introductory course within a two-part series; the later federated LLM fine-tuning topics described in the overview are not treated as additional lessons in this course. Python, machine learning and LLM familiarity are stated for the intended audience. Free beta access and Pro accomplishments have separate boundaries.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the visible page offers course access free for a limited time during the platform beta. The end date is not stated. Pro accomplishments are separate; no free credential, perpetual free access or Pro membership price is inferred.
DeepLearning.AI
Free Checked
DeepLearning.AI and Cerebras explore how inference hardware and memory movement affect application design. Learners examine the Wafer-Scale Engine, compare hardware approaches, and build personalization and multi-tool workflows. A lesson also covers multi-agent coding practices. Python and LLM API familiarity are helpful. The course demonstrates latency-sensitive use cases; no independently measured hardware-performance claim is made here.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the provider help page states Short Courses are free; Accomplishments require a Pro subscription. This zero is scoped to free content access, not a credential-inclusive completion total. The captured membership page does not expose a numeric price in its visible text. External API, cloud, compute and tool costs are not quantified.
The provider recommends sharing an Accomplishment screenshot, including on LinkedIn.
DeepLearning.AI
No accepted price
This short course from DeepLearning.AI and Red Hat follows an optimize, deploy and benchmark workflow for an open-source language model. Learners quantize a model with LLM Compressor, serve it with vLLM, and benchmark performance and quality using GuideLLM and lm-eval. The course covers GPU memory, continuous batching, PagedAttention and prefix caching. Python and basic LLM familiarity are recommended.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the page does not display a numeric fee. Embedded metadata categorizes an offer as Free, while visible copy associates accomplishments and graded features with Pro. The scope of that embedded free offer is not established; no free credential or numeric enrollment price is inferred.
DeepLearning.AI
No accepted price
DeepLearning.AI and LandingAI teach document processing from traditional OCR to agentic extraction. Learners work with layout detection, reading order and vision language models, then use LandingAI Agentic Document Extraction to produce structured Markdown and JSON. Examples integrate document extraction with RAG, AWS pipelines and a research-paper chatbot using Strands Agents. Basic Python familiarity is recommended.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the page does not display a numeric fee. Embedded metadata categorizes an offer as Free, while visible copy associates accomplishments and graded features with Pro. The scope of that embedded free offer is not established; no free credential or numeric enrollment price is inferred.
DeepLearning.AI
Free Checked
DeepLearning.AI and Qdrant teach an on-device memory system for an AI assistant. Learners store, retrieve, filter and delete text and image memories, add voice interaction, and recognize objects from examples without retraining. The course includes running the assistant locally and optional hybrid-memory material. Python familiarity is recommended. Pro completion recognition is an Accomplishment, not an official certificate.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the provider help page states Short Courses are free; Accomplishments require a Pro subscription. This zero is scoped to free content access, not a credential-inclusive completion total. The captured membership page does not expose a numeric price in its visible text. External API, cloud, compute and tool costs are not quantified.
The provider recommends sharing an Accomplishment screenshot, including on LinkedIn.
DeepLearning.AI
Free Checked
DeepLearning.AI and Oracle teach three forms of agent adaptation: behavior, knowledge and the model itself. Learners turn agent traces into reusable skills with human approval, construct a code knowledge graph, and examine when model adaptation is useful. The course contrasts graph retrieval with keyword search. Python familiarity is recommended. Pro members who complete this short course can receive an Accomplishment.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the provider help page states Short Courses are free; Accomplishments require a Pro subscription. This zero is scoped to free content access, not a credential-inclusive completion total. The captured membership page does not expose a numeric price in its visible text. External API, cloud, compute and tool costs are not quantified.
The provider recommends sharing an Accomplishment screenshot, including on LinkedIn.
DeepLearning.AI
Free Checked
Andrew Ng teaches beginners to build and customize browser applications by describing what they want to AI. Examples include a birthday-message application and a table-tennis game. Learners practice prompting, downloading an application, refining features and troubleshooting, then submit a final project and take a quiz. The course assumes no prior AI or coding knowledge. Free auditing includes videos and the forum; Pro adds assessments, project tools and a certificate after the required assessments.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the provider help page states free users can access course content but receive no certificate. This zero is scoped to free content access, not a credential-inclusive completion total. The captured membership page does not expose a numeric price in its visible text. External API, cloud, compute and tool costs are not quantified. The course FAQ separately quotes Pro at USD 30 per month billed monthly or USD 25 per month billed annually, as shown in the United States on 15 October 2026; taxes may apply. These are recurring access quotes, not a completion total or an explicitly listed annual charged amount.
The provider describes manually adding certificates to LinkedIn or using an available Add to LinkedIn link.
DeepLearning.AI
No accepted price
DeepLearning.AI and Google teach a compact language-model workflow using JAX. Learners implement a MiniGPT-style model, prepare data, train and save it, and run inference through a chat interface. The course uses Flax/NNX, Grain, Optax and Orbax to illustrate architecture, loading, optimization and checkpointing. Python and basic machine learning familiarity are recommended.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the page does not display a numeric fee. Embedded metadata categorizes an offer as Free, while visible copy associates accomplishments and graded features with Pro. The scope of that embedded free offer is not established; no free credential or numeric enrollment price is inferred.
DeepLearning.AI
Free Checked
Andrew Ng teaches practical use of modern AI for finding information, brainstorming, writing, multimedia and simple application creation. Three modules address pretrained knowledge, web search and deep research; context, reasoning and critique; then images, applications and data analysis. No technical background is required. The course includes quizzes and practice activities. Pro members can earn a DeepLearning.AI Certificate of Completion; free content access does not include that credential.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the provider help page states free users can access course content but receive no certificate. This zero is scoped to free content access, not a credential-inclusive completion total. The captured membership page does not expose a numeric price in its visible text. External API, cloud, compute and tool costs are not quantified. The course FAQ separately quotes Pro at USD 30 per month billed monthly or USD 25 per month billed annually, as shown in the United States on 15 October 2026; taxes may apply. These are recurring access quotes, not a completion total or an explicitly listed annual charged amount.
The provider describes manually adding certificates to LinkedIn or using an available Add to LinkedIn link.
DeepLearning.AI
Free Checked
DeepLearning.AI and JetBrains compare cloud, hybrid and local AI coding workflows by rebuilding the same Python application. Lessons use Claude Code, focused subagents, smaller models, OpenCode, OpenRouter and LM Studio. The emphasis is evaluating workflow tradeoffs, not a universal promise of lower cost or better performance. Python and terminal familiarity are expected, and local-model lessons benefit from a capable machine.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the provider help page states Short Courses are free; Accomplishments require a Pro subscription. This zero is scoped to free content access, not a credential-inclusive completion total. The captured membership page does not expose a numeric price in its visible text. External API, cloud, compute and tool costs are not quantified.
The provider recommends sharing an Accomplishment screenshot, including on LinkedIn.
DeepLearning.AI
No accepted price
DeepLearning.AI and Qodo teach practices for AI code review and construction of a context-aware review agent. Learners review before opening a pull request, supply task and repository context, and prioritize findings by risk. Code examples build a context engine using embeddings and vector search, then combine specialized review agents. Python familiarity is helpful.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the page does not display a numeric fee. Embedded metadata categorizes an offer as Free, while visible copy associates accomplishments and graded features with Pro. The scope of that embedded free offer is not established; no free credential or numeric enrollment price is inferred.
DeepLearning.AI
No accepted price
DeepLearning.AI and Anthropic teach how to package reusable instructions as agent skills. Learners explore skill structure, progressive disclosure, pre-built and custom skills, then use them with Claude API, Claude Code and the Claude Agent SDK. Examples address coding, data analysis and research workflows, including the relationship between skills, tools, MCP and subagents. The page labels the course beginner and addresses AI builders.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026, the page does not display a numeric fee. Embedded metadata categorizes an offer as Free, while visible copy associates accomplishments and graded features with Pro. The scope of that embedded free offer is not established; no free credential or numeric enrollment price is inferred.
DeepLearning.AI
USD 49 Checked
The 'DeepLearning.AI TensorFlow Developer Professional Certificate' on Coursera is an intermediate-level, four-course program teaching applied machine learning skills with TensorFlow. Instructed by Laurence Moroney, the curriculum covers building and training deep neural networks, computer vision, natural language processing, and time series analysis. Students will handle real-world image data, process text, and create forecasts using CNNs, RNNs, and LSTMs. The self-paced program takes about two months at ten hours a week to complete, featuring 16 hands-on Python programming assignments. Earning the shareable career certificate requires completing all courses and projects. Overview: 2 months at 10 hours a week. These are separate provider estimates; no combined completion promise is inferred.
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Facts checked 15 Oct 2026
The US course FAQ states $49/month for access to all four courses until the subscription ends. It separately describes a one-time $49 single-course payment with access for 180 days or until completion. These are different payment scopes, not a total completion cost.
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Vanderbilt University
No accepted price
The 'Prompt Engineering Specialization' by Vanderbilt University on Coursera is a beginner-level, three-course program designed to help learners become prompt engineering experts. Instructed by Dr. Jules White, the curriculum moves from fundamental concepts to advanced techniques for crafting instructions for large language models. Students will learn how to tap into generative AI capabilities to automate tasks, brainstorm solutions, and extract information from documents. The hands-on program takes approximately four weeks at ten hours per week. A ChatGPT+ subscription is required for participation. The coursework includes multiple practical exercises, from applying prompt patterns to leveraging the ChatGPT Code Interpreter. Earning the shareable career certificate requires completing all courses and projects.
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DeepLearning.AI
No accepted price
The 'Natural Language Processing Specialization' by DeepLearning.AI on Coursera is an intermediate-level, four-course program teaching NLP techniques. Instructed by Younes Bensouda Mourri and Łukasz Kaiser, the curriculum covers logistic regression, naïve Bayes, hidden Markov models, and word embeddings. Students learn to implement sentiment analysis, autocorrect, machine translation, and question-answering systems using Python, TensorFlow, and Hugging Face Transformers. The self-paced program takes about three months at ten hours a week to complete, featuring hands-on applied learning projects. Earning the shareable career certificate requires completing all courses and projects. Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 4 weeks. These are separate provider estimates; no combined completion promise is inferred.
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Facts checked 15 Oct 2026
As shown in the United States on 29 September 2026: No specific total price is stated. Subscription is required for full access. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
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Imperial College London
No accepted price
The 'Mathematics for Machine Learning Specialization' by Imperial College London on Coursera is a beginner-level, three-course program bridging the gap between underlying mathematics and their application in data science. Instructed by David Dye and others, the curriculum covers linear algebra, multivariate calculus, and dimensionality reduction with Principal Component Analysis (PCA). Students learn to relate vectors, matrices, and gradients to machine learning, implementing concepts in Python using interactive Jupyter notebooks. The self-paced program features mini-projects like calculating page rank and training a neural network. Earning the shareable career certificate requires completing all courses. Overview: 4 weeks at 10 hours a week. FAQ: 3/4 hours a week for 3 to 4 months. These are separate provider estimates.
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Facts checked 15 Oct 2026
As shown in the United States on 29 September 2026: No specific total price is stated. Subscription is required for full access. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
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Duke University
No accepted price
The 'Large Language Model Operations (LLMOps) Specialization' by Duke University on Coursera is a beginner-level, 6-course program focused on deploying, managing, and optimizing large language models. Taught in English, the program covers generative AI techniques across platforms like Azure, AWS, Databricks, and local infrastructure. The curriculum includes over 20 coding projects to build hands-on experience, preparing learners for roles such as Machine Learning Engineer or Cloud Architect. It takes about 5 months to complete at 10 hours a week. Earning the shareable career certificate requires completing the coursework, though the exact mandatory assessment count is not specified. As shown in the United States on 15 October 2026, no exact subscription cost is provided, though financial aid is available.
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Facts checked 15 Oct 2026
As shown in the United States on 15 October 2026: No specific subscription price is provided in the captured text. 'Enroll for free' and 'Financial aid available' are indicated, though the FAQ notes you cannot take the course for free. Included with a Coursera subscription.
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DeepLearning.AI
No accepted price
The Generative Adversarial Networks (GANs) Specialization by DeepLearning.AI on Coursera is an intermediate-level program introducing image generation from foundational concepts to advanced techniques. The curriculum covers basic GANs using PyTorch, advanced DCGANs with convolutional layers, evaluating fidelity using the Fréchet Inception Distance (FID) method, detecting bias, and implementing state-of-the-art StyleGAN. Students also explore data augmentation, privacy preservation, Pix2Pix, and CycleGAN for image translation. The self-paced online program has a provider estimate of 2 months to complete at 10 hours a week. Earning the shareable certificate requires completing the 3-course series work. The program was reviewed in the United States on 15 October 2026.
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Facts checked 15 Oct 2026
No specific total price is stated. The FAQ clarifies that the course cannot be taken for free to earn a certificate, despite the 'Enroll for free' button, and mentions financial aid, but no numeric course-completion total or currency is established as shown in the United States on 15 October 2026.
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DeepLearning.AI
No accepted price
The 'Deep Learning Specialization' by DeepLearning.AI on Coursera is an intermediate-level, five-course program that helps learners master deep learning fundamentals and break into AI. Instructed by Andrew Ng, Younes Bensouda Mourri, and Kian Katanforoosh, the curriculum covers building and training neural network architectures such as CNNs, RNNs, LSTMs, and Transformers using Python and TensorFlow. Students will tackle real-world cases like speech recognition, machine translation, and natural language processing. The self-paced program takes about three months at ten hours a week to complete. It includes hands-on applied learning projects and offers an ACE recommendation of 10 college credits. Earning the shareable career certificate requires completing all courses and projects. Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 5 weeks except course 3, which takes about 4 weeks. These are separate provider estimates; no combined completion promise is inferred. Acceptance of the ACE credit recommendation is decided by each institution and is not guaranteed.
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Duke University
No accepted price
The 'AI Product Management Specialization' by Duke University on Coursera is a beginner-level, three-course program focusing on the design and development of machine learning products. Instructed by Jon Reifschneider, the curriculum provides a non-coding foundation in machine learning, covering how ML works and when to apply it. Learners will master the data science process to lead ML projects from ideation to production, and apply human-centered design to ensure privacy and ethical standards. The specialization takes about four months to complete at five hours per week. It features hands-on projects, including creating an ML model without coding and designing an ML-based solution. Earning the shareable career certificate requires completing all courses and projects. Overview: 4 months at 5 hours a week. FAQ: 15 weeks at 3–5 hours a week, with courses listed as 6, 5 and 4 weeks respectively. These are separate provider estimates.
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365 Data Science
No accepted price
365 Data Science's 'Introduction to MLflow' is an advanced-level online course instructed by Stefan Micic, designed for data scientists, ML engineers, and developers to learn end-to-end machine learning lifecycle management. The 1-hour provider headline duration covers tracking experiments, packaging reproducible projects, deploying models locally, and integrating MLflow into automated pipelines. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 4 CPE credits; however, acceptance depends on individual state boards. A basic understanding of Python is required. Pricing observations in the United States on 15 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 15 Oct 2026
Price observation recorded 15 Oct 2026: As shown in the United States on 15 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Introduction to Amazon Bedrock' is a basic-level online course instructed by Anita Okoh. The 2-hour provider headline duration introduces developers to Amazon Bedrock, covering foundation models, programmatic access via Python and AWS SDK, and building serverless applications with AWS Lambda and API Gateway. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 4 CPE credits; however, acceptance depends on individual state boards. The course requires a basic understanding of Python and familiarity with AWS. Pricing observations in the United States on 15 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 15 Oct 2026
Price observation recorded 15 Oct 2026 (not a current price): As shown in the United States on 15 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Verifiable credential with Credential Id and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's 'Intro to ChatGPT and Generative AI' is a basic-level online course designed to help learners master prompt engineering and integrate generative AI into their daily workflows. Instructed by Ned Krastev, the two-hour curriculum teaches a solid 5W1H framework to design well-structured prompts, automate repetitive tasks, and create customized GPTs. The course also covers foundational AI knowledge, AI ethics, hallucination risks, and utilizing AI for text and data comprehension. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher grade. The course grants 3 CPE credits. Prerequisite is access to ChatGPT, making it suitable for students and working professionals aiming to boost their productivity.
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University of Pennsylvania
No accepted price
AI For Business Specialization is a four-course online program offered by the University of Pennsylvania on Coursera. It is labeled beginner level and requires no specific background. The courses address AI fundamentals for non-data scientists, marketing and finance applications, people management, and strategy and governance. Each module ends with an assessment, and two courses include peer-review exercises. Study is self-paced, and courses can be taken in any order. Completion provides a shareable career certificate from the University of Pennsylvania. Consider it for business applications and AI decision-making, not as a guaranteed route to university credit or as a substitute for advanced specialist training in a single technical field.
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Outside the US, local currency and pricing are shown at checkout.
Lowest exact verified upfront plan route only for programs whose own page independently shows Included with Coursera Plus; not a global-cheapest claim and not a guaranteed completion period. The Wharton AI For Business program page independently displays Included with Coursera Plus. Exact Wharton-specific logged-out checkout amount is not exposed.
IBM
No accepted price
The Generative AI for Software Developers Specialization on Coursera is an intermediate-level program offered by IBM. Designed for existing and aspiring web, mobile, front-end, backend, and full stack developers, as well as DevOps and SREs, the curriculum teaches how to apply generative AI to software workflows. Learners explore prompt engineering and tools like ChatGPT, GitHub Copilot, and Google Gemini. The self-paced online program has headline estimates of 1 month or less, or 4 weeks to complete at 10 hours a week. The curriculum consists of 3 courses. Earning the shareable provider-issued course certificate requires completing the work. As shown in the United States on 14 October 2026, the program is taught in English.
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Facts checked 14 Oct 2026
As shown in the United States on 14 October 2026, no accepted numeric price is stated. The page lists 'Enroll for free' and 'Join for Free', though the FAQ clarifies 'No, you cannot take this course for free'.
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Google Cloud
USD 99 Checked
A business-oriented Google Cloud certification for professionals in any job role. It assesses generative-AI fundamentals, Google Cloud offerings, techniques for improving model output, and business strategy. Google publishes no prerequisite and does not require hands-on technical experience, so the credential should not be treated as proof of engineering ability.
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DeepLearning.AI
No accepted price
The Generative AI for Software Development Skill Certificate on Coursera is a program offered by DeepLearning.AI. While the page lists a beginner level, the FAQ explicitly states intermediate knowledge of software development is necessary. Designed for software developers and engineers, the curriculum teaches students how to use generative AI in their workflows. Learners explore prompt engineering, pair programming with LLMs, code testing, and database development. The self-paced online program has a headline estimate of 4 weeks at 5 hours a week, and an FAQ estimate of about 5 hours per course. The curriculum consists of 3 courses. Earning the shareable provider-issued course certificate requires completing the work. As shown in the United States on 14 October 2026, the program is taught in English.
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As shown in the United States on 14 October 2026, no accepted numeric price is stated. The page lists 'Enroll for free' and mentions unlocking access to courses with a subscription.
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UC Berkeley Executive Education
USD 6500 Checked
In-person executive program on AI strategy, adoption, innovation and ethics, with hands-on exercises. It runs three days at 8.5 hours per day and displays a USD 6,500 programme fee. Intended for executives, senior managers, technical professionals and others tracking AI advances. It is not a fit for someone requiring remote delivery or a technical implementation curriculum. It grants a verified digital certificate of completion, not eligible for degree credit or CEUs. The provider recommends proficiency in written and spoken English; the teaching language and renewal terms are not stated. The next listed session is March 29–31, 2027.
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UC Berkeley Executive Education
USD 3550 Checked
Live online executive program on agentic-AI strategy, use-case scaling, organizational readiness, business value, governance and oversight. It runs five weeks at 4–5 hours per week and lists tuition of USD 3,550. It includes five live sessions, facilitator office hours, peer learning and a capstone strategy project, and requires no prior coding experience. It is not designed as hands-on technical implementation training. The verified digital completion certificate is emailed and can be shared on professional profiles; it provides no degree credit or CEUs. Language, external exam, expiry and renewal terms are not stated. No available dates are listed for the next program.
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365 Data Science
No accepted price
365 Data Science's 'Introduction to LLaMA' is an intermediate course instructed by Dr. Jaleed Khan, focusing on Meta's open-source LLaMA models. With a headline duration of two hours, the curriculum guides students through running lightweight LLaMA architectures in Google Colab, controlling text generation via decoding parameters, and applying prompt engineering strategies. Learners delve into evaluation, ethical AI challenges, and parameter-efficient fine-tuning using LoRA and QLoRA before deploying a real-time LLaMA-powered API. The course includes 34 lessons, 30 exercises, and practice exams, granting 4 CPE credits. Passing the final 30-minute exam with 60% or higher confers a verifiable certificate. Intermediate Python skills are required.
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365 Data Science
No accepted price
365 Data Science's 'Introduction to Hugging Face' is an advanced-level online course taught by Lauren Newbould, focusing on building applications with open-source transformer models. Across a two-hour headline duration, learners explore the Hugging Face ecosystem, utilizing pre-built pipelines for zero-shot classification, text generation, and summarization. The curriculum dives into the Models Hub, custom tokenization, dataset streaming, and fine-tuning pretrained LLMs on custom datasets before deploying interactive demos via Gradio and Hugging Face Spaces. It also covers multimodal applications including audio and image processing. Offering 3 CPE credits, credentialing requires passing a comprehensive 120-minute exam with at least 60%. Recommended preparation includes introductory Python programming.
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365 Data Science
No accepted price
365 Data Science's 'Intro to NLP for AI' is an intermediate self-paced course taught by Lauren Newbould, focusing on foundational natural language processing techniques. Over a headline duration of four hours, the curriculum covers text preprocessing, tokenization, lemmatization, part-of-speech tagging, and named entity recognition. Students explore sentiment analysis, text vectorization using Bag of Words and TF-IDF, topic modeling with LDA and LSA, and building text classifiers with logistic regression, naive Bayes, and SVMs. The training culminates in an applied case study categorizing fake news and awards 4.5 CPE credits. Earning the verifiable certificate requires scoring 60% or higher on the 30-minute exam. The formal prerequisites state that basic Python is required and no prior NLP or machine-learning experience is necessary; the course description separately asks for basic Python and familiarity with machine learning. These source statements differ.
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365 Data Science
No accepted price
365 Data Science's 'Intro to AI' is a basic-level online course designed as an introduction to the field of artificial intelligence. Instructed by Ned Krastev, the three-hour curriculum helps learners grasp AI fundamentals, explore how AI and machine learning drive business value, and understand the intuition behind state-of-the-art models like neural networks and transformers. The course also covers technical tools used by AI engineers and developers, and identifies various AI roles and career paths. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The course grants 4 CPE credits. No prior experience is required, making it accessible to beginners.
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365 Data Science
No accepted price
365 Data Science's 'ChatGPT at Work: Ethical and Secure ChatGPT Use' is a basic-level online course designed for leaders, managers, and teams. Instructed by Ned Krastev and Ivan Manov, the 2-hour provider headline duration covers generative AI evolution, ChatGPT risks, global regulations, and responsible adoption strategies. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 4.5 CPE credits; acceptance depends on individual state boards. The required prerequisite is access to ChatGPT, with advanced preparation in Intro to ChatGPT and Generative AI recommended. Pricing observations in the United States on 14 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Price observation recorded 14 Oct 2026 (not a current price): As shown in the United States on 14 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'AI Ethics' is a basic-level online course addressing the crucial ethical challenges in developing and using artificial intelligence. Instructed by Ned Krastev and Ivan Manov, the four-hour curriculum guides learners through the complete AI lifecycle, exploring principles such as transparency, fairness, privacy, and accountability. Students will analyze real-world ethical dilemmas, learn how to handle misinformation and intellectual property concerns, and navigate global AI regulations like GDPR and the EU AI Act. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The course grants 5.5 CPE credits. No prior experience is required, though 'Intro to AI' is recommended as advanced preparation.
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MIT Sloan Executive Education
USD 5700 Checked
MIT Sloan offers this executive-education course for leaders connecting AI literacy with strategy, adoption, governance and organizational decisions. Activities include prompt engineering and agent creation. The live-online offering is December 14–16, 2026, with three days at five hours per day and tuition of USD 5,700. The separate in-person offering lists dates coming soon and tuition of USD 5,500, as shown in the United States on 26 September 2026. The course awards a certificate of course completion and counts toward the Executive Certificate in Digital Business; it does not award that full certificate by itself. The listed modules follow the in-person sample schedule, which is subject to change. Verify the selected offering before booking.
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Microsoft Learn
USD 99 Checked
AI-901 is the required exam for Microsoft Certified: Azure AI Fundamentals. The current study guide divides its scope into identifying AI concepts and capabilities, and implementing AI solutions using Microsoft Foundry. Microsoft describes candidates as early in AI solution development, but expects Python coding knowledge, foundational technical skills, and familiarity with Azure resources. This is therefore not a purely nontechnical overview. Microsoft's fundamentals exam policy specifies 45 minutes of assessment time, separate from preparation and appointment time. The observed fee is USD 99 with the United States exam region selected, not a worldwide price. Microsoft fundamentals certifications do not expire. Review the current AI-901 objectives rather than assuming older Azure AI Fundamentals preparation materials cover the updated scope.
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Microsoft Learn
No accepted price
Exam AB-730 leads to Microsoft Certified: AI Business Professional, a Beginner-level certification for business users who use generative AI tools such as Microsoft 365 Copilot and agents at work, without building AI apps or coding. From October 20, 2026 the study guide measures four skill areas: generative AI fundamentals (25-30%), prompts and chats in Microsoft 365 Copilot (20-25%), business content and collaboration with Copilot (20-25%), and business outcomes with agents (20-25%). The proctored exam lasts 45 minutes and needs a score of 700. The captured pages do not say whether this certification expires. As shown in the United States on 13 October 2026, no exam price is displayed; Microsoft says the price depends on where the exam is proctored.
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Facts checked 13 Oct 2026
As shown in the United States on 13 October 2026, no accepted price: the captured certification page states only "Price based on the country or region in which the exam is proctored." and no amount is rendered in the captured page text.
The captured pages list the level as Beginner and do not say whether this is a fundamentals, associate, expert or specialty certification. Microsoft states that associate, expert and specialty certifications expire annually and renew free through an online assessment on Microsoft Learn that opens six months before expiry, and that fundamentals certifications do not expire.
IBM
No accepted price
The Generative AI for Data Scientists Specialization on Coursera is an intermediate-level program offered by IBM. Designed for existing and aspiring data professionals, the curriculum teaches students how to apply generative AI to data science workflows. Learners explore prompt engineering and tools like ChatGPT, IBM Watsonx, Prompt Lab, and Dust. The self-paced online program has headline estimates of under 1 month or 4 weeks to complete at 10 hours a week. The curriculum consists of 3 courses. Earning the shareable provider-issued course certificate requires completing the work. As shown in the United States on 13 October 2026, the program is taught in English.
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As shown in the United States on 13 October 2026, no accepted numeric price is stated. The page lists 'Enroll for free' and 'Join for Free', though the FAQ clarifies 'No, you cannot take this course for free'.
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Amazon Web Services
USD 150 Checked
AWS Certified Machine Learning Engineer - Associate assesses production machine-learning work on AWS through the MLA-C01 exam. Its domains cover data preparation, model development, deployment and orchestration, and monitoring, maintenance and security. AWS describes an intended candidate with at least one year of relevant SageMaker and AWS experience; that recommendation is not a formal enrollment prerequisite. The exam has 65 questions and a 130-minute sitting time, separate from preparation. English MLA-C01 testing ended on September 28, 2026, while the listed Asian-language versions continue until MLA-C02 general availability. Do not treat that transition as early expiry of an earned credential. Choose this for AWS engineering assessment, not a beginner teaching course.
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USD 150 for one MLA-C01 attempt. The last English test day was September 28, 2026; Japanese, Korean and Simplified Chinese continue until MLA-C02 general availability. Preparation is separate.
Valid for 3 years. Renew for 3 more years by passing the latest version of this exam or the AWS Certified Generative AI Developer - Professional exam (certification must be active). Maintain for 1 more year via AWS Skill Builder (requires active certification within 90 days of expiration and an active Monthly, Annual, or Team paid subscription). Your certification remains active through its full validity period regardless of when you earn it.
365 Data Science
No accepted price
365 Data Science's 'Product Management for AI & Data Science' is a basic-level online course instructed by Danielle Thé, designed to teach the full lifecycle of AI and data science projects. The 6-hour provider headline duration covers defining AI business opportunities, understanding machine learning versus deep learning, product ideation techniques, and managing data science teams. Earning the provider-issued course certificate requires completing the course and passing the associated course exams with a score of 60% or higher. The provider lists 7.5 CPE credits; however, acceptance depends on individual state boards. No prior experience is required, though 'Intro to AI' is recommended. Pricing observations in the United States on 13 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 13 Oct 2026
Price observation recorded 13 Oct 2026 (not a current price): As shown in the United States on 13 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Intro to LLMs' is an intermediate-level online course designed to introduce learners to modern language models and transformer architectures. Instructed by Lauren Newbould, the three-hour curriculum covers core transformer mechanics, attention mechanisms, and pre-training versus fine-tuning. Practical modules guide students through building chatbots with OpenAI's API and LangChain, utilizing Hugging Face tokenizers, creating question-answering systems with BERT, and performing text classification using XLNet. Earning the verifiable course certificate requires passing the course exam; the general certificate terms specify 60% or higher. The course grants 4 CPE credits. Prerequisites include basic Python programming and an IDE setup.
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365 Data Science
No accepted price
365 Data Science's 'Deep Learning with TensorFlow 2' is an advanced course taught by Iskren Vankov and Iliya Valchanov, designed to teach neural network foundations and practical implementation. Across a five-hour headline duration, the curriculum covers core machine learning mathematics, gradient descent, loss functions, activation mechanisms, backpropagation, and overfitting prevention via early stopping and regularization. Practical exercises walk students through translating linear models into TensorFlow 2, classifying handwritten digits from the MNIST dataset, and deploying deep nets for a customer conversion business case. Offering 11.5 CPE credits, credentialing requires passing the final exam with 60% or higher. Intermediate Python and machine learning skills are required.
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365 Data Science
No accepted price
365 Data Science's 'Build Chat Applications with OpenAI and LangChain' is an advanced online course taught by Hristina Hristova, Head of Data Content. Featuring a headline duration of seven hours, the curriculum trains students to construct context-aware chatbots using OpenAI language models and the LangChain framework. Key modules cover token economics, prompt templates, output parsers, and the LangChain Expression Language (LCEL) using Runnable sequences. Learners build a full Retrieval Augmented Generation (RAG) system with Chroma vector stores and complete a hands-on Q&A chatbot project. Offering 8 CPE credits, earning the verifiable course certificate requires passing the course exam; general certificate terms specify at least 60%. Intermediate Python proficiency and an OpenAI API key are required.
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Microsoft
No accepted price
Microsoft's AI & ML Engineering Professional Certificate is an intermediate five-course series on Coursera: Foundations of AI and Machine Learning; AI and Machine Learning Algorithms and Techniques; Building Intelligent Troubleshooting Agents; Microsoft Azure for AI and Machine Learning; and Advanced AI and Machine Learning Techniques and Capstone. It covers AI and ML infrastructure, supervised, unsupervised, reinforcement and deep learning, AI agents, Azure ML workflows, responsible AI and a capstone project. Intermediate Python is required, and an Azure license or free trial is needed. Coursera lists 6 months at 7 hours a week. As shown in the United States on 12 October 2026, no programme price is shown; the page marks it as included with Coursera Plus.
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Facts checked 12 Oct 2026
Price details observed 2026-10-12. No accepted price. As shown in the United States on 12 October 2026, the Coursera programme page shows no programme amount: it shows "Enroll for free", "Included with" Coursera Plus, "Financial aid available" and a subscription trial. The Coursera Plus page, captured the same day, shows Coursera Plus at $59/month (7-day free trial, cancel anytime) or $399/year with a 14-day money-back guarantee; these are subscription prices, not a fixed completion total. A time-limited promotion was displayed on 12 October 2026; no promotional terms are recorded.
Shareable certificate. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Microsoft Learn
USD 165 Checked
AI-103 leads to Microsoft Certified: Azure AI Apps and Agents Developer Associate, an intermediate credential for developing Azure AI solutions with Python and Microsoft Foundry. Microsoft expects experience building Python applications and familiarity with general AI, generative AI, and Azure services. The five exam domains cover planning and managing solutions, generative AI and agents, computer vision, text analysis, and information extraction. The current credential page gives 120 minutes for the assessment; that is not a preparation estimate. The observed fee is USD 165 for the United States exam region, with local pricing to be checked separately. The certification has one-year validity and a free online renewal route before expiry. Choose it for its Azure implementation scope, not as a no-code introduction.
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Harvard University
No accepted price
CS50’s Introduction to Artificial Intelligence with Python combines lectures with programming projects on search, knowledge, uncertainty, optimization, learning, neural networks, and language. Harvard's OpenCourseWare presents seven weeks of material, studied at your own pace, rather than a guaranteed seven-week completion schedule. The stated prerequisites are CS50x or at least one year of Python experience. A free CS50 Certificate requires at least 70% on every project; an edX verified certificate is a separate paid route. There is no final exam. Choose it for project-based AI study using Python, not for a non-coding introduction or a credential earned simply by watching the lectures.
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Google Cloud
No accepted price
Professional Machine Learning Engineer Certification is the title of a Google Skills learning path managed by Google Cloud, not the certification exam itself. Its 17 activities combine on-demand courses, labs, and skill badges focused on designing, building, operating, optimizing, and maintaining machine learning systems on Google Cloud. The path emphasizes applied work with Google Cloud technologies and describes its material as advanced. It points learners toward preparation for the separate Professional Machine Learning Engineer exam. Consider it when your objective is structured learning for that cloud-specific engineering role. It is not a substitute for taking the exam, nor the natural choice for a reader seeking only a non-technical introduction to AI.
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USD 49 per month Checked
Google AI Essentials is a beginner, self-paced five-course specialization for using generative AI in everyday work. Its courses cover AI fundamentals, productivity tools, prompting, responsible use and keeping current. No experience is required. Hands-on activities include generating text and images, planning tasks and evaluating AI outputs. Completion earns a shareable Google career certificate, not a professional certification. USD 49 per month after an initial seven-day free trial, as shown in the United States on 3 October 2026. One month of access is not a completion guarantee. Consider it for practical workplace use, not advanced engineering or a detailed organizational AI strategy.
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Facts checked 12 Oct 2026
USD 49 per month after an initial seven-day free trial, as shown in the United States on 3 October 2026. One month of access is not a completion guarantee.
Google's program page lists fewer than 5 hours to complete and says "In under 5 hours"; the Coursera page says "In under 10 hours" and shows a 4-hour top-level label. The five Coursera course estimates total 8 hours. These are provider study estimates; no single guaranteed total or weekly workload is inferred.
Shareable on LinkedIn, resume or CV, social media, and with a network or potential employers.
DeepLearning.AI
No accepted price
This DeepLearning.AI Professional Certificate, taught by Laurence Moroney, is an intermediate three-course series on Coursera: PyTorch: Fundamentals, PyTorch: Techniques and Ecosystem Tools, and PyTorch: Advanced Architectures and Deployment. It covers tensors, neural networks and pipelines, TorchVision and Hugging Face for vision and language tasks, transfer learning and fine-tuning, architectures such as ResNet and Transformers, and deployment with ONNX, MLflow, pruning and quantization. Coursera lists 2 months at 10 hours a week; DeepLearning.AI lists 87h42m and about 4 months at 10 hours per week. As shown in the United States on 12 October 2026, Coursera shows no programme price; the DeepLearning.AI Pro membership, which gives the certificate, costs USD 25 a month billed annually or USD 30 billed monthly.
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Facts checked 12 Oct 2026
As shown in the United States on 12 October 2026, the Coursera programme page shows no programme amount: it shows "Enroll for free", "Financial aid available" and a subscription trial. The DeepLearning.AI page offers the same certificate through the DeepLearning.AI Pro membership and its FAQ states: "The DeepLearning.AI Pro membership costs $25/mo billed annually and $30/mo billed monthly." It adds that all prices are listed in USD and that taxes may apply depending on your location. This is membership pricing, not a fixed completion total.
Shareable certificate. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Dataquest
No accepted price
AI Engineer in Python is a Dataquest career path that goes from Python fundamentals to deploying production AI systems. Its 33 courses in 11 steps cover Python and developer tooling, large language model APIs, prompt engineering and tool use, AI apps with FastAPI and Docker, Hugging Face open models, data analysis, statistics, machine learning, deep learning with PyTorch, embeddings, vector databases and retrieval-augmented generation (RAG). It is labelled Beginner friendly: 11 months at 5 hours a week, self paced, 21 projects and a path certificate. As shown in the United States on 12 October 2026, no Premium plan amount is rendered on the captured plans page; Dataquest says certificates require a paid subscription and its courses are not accredited.
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Facts checked 12 Oct 2026
No accepted price. As shown in the United States on 12 October 2026, the Dataquest plans page lists Free (forever), Premium and Team plans and says Premium is billed monthly or annually, but no Premium or Team amount is rendered in the captured page text. The path page shows "Enroll For Free".
The path page says: "Add this Python certificate to your resume or LinkedIn to showcase your skills and stand out in job applications." The help center describes an "Add to LinkedIn" button on the profile page.
Databricks
USD 200 Checked
This proctored certification exam assesses basic Databricks machine-learning tasks across Databricks Machine Learning, Data Processing, Model Development and Model Deployment. Its 48 scored items cover AutoML, Unity Catalog, MLflow, feature engineering, model training and deployment. The 90-minute exam sitting is not a preparation estimate. No prerequisite is mandatory; course attendance and six months of hands-on experience are recommended. The guide lists four self-paced preparation courses separately, without establishing training inclusion in the $200 registration fee. The credential lasts two years and requires the full current exam for recertification. This assessment does not provide AWS deployment instruction; the passing threshold and preparation duration are unstated.
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365 Data Science
No accepted price
This Basic level course teaches how to use Claude Code for data analysis, automation, and AI-powered development. It covers building data pipelines, analyzing financial performance, creating live dashboards, predictive models, and web scraping. This course focuses on a narrow agentic data workflow versus the broad 365 AI Engineer track. The provider lists a two-hour headline; section and exam timings are listed separately. No prerequisites are required. Note: Claude tool and API costs are not quantified in the reviewed sources.
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University of Cape Town
USD 660 Checked
Study statistical learning using Python, including tree-based methods, neural networks and clustering. The course links technical concepts to data-science practice and real-world applications. Its audience includes professionals moving into data science and IT practitioners. Mathematics, statistics and programming familiarity are recommendations, not presented as mandatory admission rules. Course delivery and the university credential are distinct from applying directly to the university.
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Facts checked 11 Oct 2026
Price details observed 2026-10-11. Displayed programme fee on 11 October 2026, as shown in the United States; not a verified checkout total. A time-limited promotion was displayed on 11 October 2026.
Official source · Checked ; Official source · CheckedNVIDIA
USD 125 Checked
An entry-level, associate NVIDIA certification covering foundational concepts for developing, integrating, and maintaining generative-AI and LLM applications with NVIDIA solutions. The exam page lists 50-60 multiple-choice questions and a 1-hour duration; NVIDIA's certification FAQ describes remote and in-person proctoring for its exams.
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IBM
No accepted price
The IBM Machine Learning Professional Certificate on Coursera is an intermediate-level program designed to prepare individuals for careers in machine learning. Instructed by IBM, the curriculum teaches students to use algorithms and statistical models to analyze data. Learners gain hands-on experience with supervised and unsupervised learning, regression, classification, deep learning, and reinforcement learning using Python, Jupyter Notebooks, and libraries like Scikit-learn and TensorFlow. The self-paced online program has a headline estimate of 3 months to complete at 10 hours a week, while the FAQ estimates 42 to 60 total hours of study. Earning the shareable provider-issued course certificate requires completing the 6-course series and a final capstone project. As shown in the United States on 11 October 2026, the program is taught in English.
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Facts checked 11 Oct 2026
No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available' as shown in the United States on 11 October 2026.
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365 Data Science
No accepted price
365 Data Science's 'MCPs for Everyone' is a self-paced online course focused on designing and applying Model Context Protocols (MCPs) to enable AI agents to use external tools. Although marketed generally as 'Basic', the course specifically requires intermediate Python and API skills. The curriculum covers AI agent fundamentals, MCP concepts, simulating MCPs with Claude Desktop, and building a basic MCP outline using Cursor. It contains 30 lessons and 26 exercises. A provider-issued course certificate requires passing a final exam with a score of 60% or higher. While the course page displays a 'FREE' label, it is unverified if full access, including the exam and certificate, requires a paid subscription.
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365 Data Science
No accepted price
365 Data Science's 'LLM Engineering in Practice with Streamlit and OpenAI' is an advanced-level, project-focused online course designed to teach learners how to build and deploy an AI-driven interview simulator. The four-hour curriculum covers architecture planning, crafting and testing AI prompts using the OpenAI API, and developing a web interface with Streamlit. It addresses practical challenges such as prompt injections, hallucinations, and cost management. Earning the course certificate requires passing a final exam with a score of 60% or higher. The course requires intermediate Python skills and familiarity with APIs, overriding the platform's general beginner-friendly marketing. Students must also maintain and fund their own OpenAI API accounts to complete the exercises.
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365 Data Science
No accepted price
This Intermediate level course teaches how to fine-tune Llama models with Hugging Face. Learners set up environments, prepare datasets, train models using Trainer, and evaluate with ROUGE and BERTScore. It covers efficient methods like LoRA and QLoRA, quantization with BitsAndBytes, and deploying models as a live FastAPI API. This course provides narrow model adaptation training versus a broad LLM app bootcamp. Prerequisites explicitly require Python programming skills and a basic understanding of GenAI/LLMs, overriding the generic platform FAQ.
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365 Data Science
No accepted price
This intermediate course teaches AWS model deployment through Lambda, ECS/Fargate, EC2, EKS and SageMaker, including autoscaling and rollout strategies. It contains 34 lessons, 21 exercises and one course exam. The provider’s one-hour headline is separate from detailed timings of 84 instructional minutes plus a 60-minute exam; neither is an elapsed completion estimate. Basic cloud and machine-learning knowledge is required. The course-certificate policy requires completing the course and passing the exam with 60% or above; expiry and renewal are not stated. This focused AWS course does not cover the Databricks exam’s data-processing and model-development syllabus. Subscription access, cloud usage costs and a complete study budget must be considered separately.
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365 Data Science
No accepted price
365 Data Science's 'AI Applications for Business Success' is an advanced-level online course instructed by Horia Mărgărit, designed to teach professionals how to leverage artificial intelligence for business value. The 2-hour provider headline duration covers defining SMART goals, conducting SWOT analysis, supply chain analytics, and advanced AI techniques to infer causation using hybrid experiments. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 3.5 CPE credits; however, acceptance depends on individual state boards. Required prerequisites include Python 3.8 or later, pandas, a code editor, and intermediate Python skills. Pricing observations in the United States on 11 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 11 Oct 2026
Price observation recorded 11 Oct 2026 (not a current price): As shown in the United States on 11 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Advanced Machine Learning and AI Applications in Finance' is an advanced-level online course designed to teach learners how to apply machine learning and AI to real-world financial problems. Instructed by Professor Gerhard Kling, the 3-hour provider headline duration covers predictive modeling for financial time series, portfolio optimization, asset pricing, and reinforcement learning. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 4 CPE credits; however, acceptance depends on individual state boards. Required prerequisites include Python (Pandas, NumPy), basic understanding of time series analysis, and basic understanding of machine learning. Pricing observations in the United States on 11 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 11 Oct 2026
Price observation recorded 11 Oct 2026 (not a current price): As shown in the United States on 11 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
University of Cape Town
USD 998 Checked
Explore AI adoption through business strategy, organizational readiness, governance, performance evaluation and project management. Global and African business examples accompany work on a tailored AI implementation plan. The intended audience includes midcareer and senior professionals who shape or support business strategy. Technical experience and coding proficiency are not required. The plan is coursework, not a promise of business results.
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Saïd Business School, University of Oxford
USD 3237 Checked
Explore the AI ecosystem, machine learning, neural networks, generative AI and their societal and business implications. This nontechnical programme addresses business leaders as well as professionals working across technology and organizational decisions. Programming skills are not required. The programme page describes a certificate of attendance from Oxford Saïd, subject to the stated completion requirements; it is not described here as a degree or a completion certificate.
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MIT Professional Education
No accepted price
The Professional Certificate Program in Machine Learning and Artificial Intelligence is an On Campus and Live Online course-based program from MIT Professional Education. Learners complete at least 16 days of qualifying Short Programs courses within a 36-month window. The curriculum requires the Machine Learning for Big Data and Text Processing core courses; learners with prior experience may begin with the Advanced course, while others must take Foundations and Advanced. Participants then select electives covering topics like natural language processing, predictive analytics, deep learning algorithms, robotics, and large language model architecture. The credential requires full attendance for each selected course. Tuition is charged per selected course, in addition to a USD 325 non-refundable application fee.
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MIT Sloan and MIT CSAIL
USD 3850 Checked
Examine AI through an organizational and managerial lens, with modules on machine learning, generative AI, robotics and business and society. Managers and executives work toward an AI roadmap without a required technological background. The programme is offered in collaboration with MIT Sloan and MIT CSAIL. Its course-completion credential is separate from the broader MIT Sloan Executive Certificate pathway.
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MIT Sloan and MIT Schwarzman College
USD 1900 Checked
Explore how AI agents operate, how an organizational process can become an agent-driven workflow, and how governance and risk management affect deployment. The course involves developing an implementation playbook and addresses both technical and nontechnical leaders. The playbook is a learning activity, not a guarantee of a production-ready system. Credential, assessment and support arrangements require provider confirmation; the dated details are set out below.
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Microsoft Cloud Advocates
No accepted price
Generative AI for Beginners (Version 3) is a 21-lesson course by Microsoft Cloud Advocates on the fundamentals of building generative AI applications, published as an open GitHub repository. Learn lessons explain concepts such as large language models, responsible AI and prompt engineering; Build lessons add Python and TypeScript code for text generation, chat, search, image generation, function calling, retrieval-augmented generation and AI agents. Each lesson has a short video introduction, a written lesson and extra resources. Basic Python or TypeScript knowledge is helpful, and the code runs on Azure OpenAI Service, Microsoft Foundry Models, the OpenAI API or Foundry Local. No certificate is mentioned. As shown in the United States on 9 October 2026, the README states no price.
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Facts checked 9 Oct 2026
No accepted price. The course README, as shown in the United States on 9 October 2026, states no price or fee for the course. To run the code it lists Azure OpenAI Service, Microsoft Foundry Models, the OpenAI API, or Foundry Local, which it says runs models fully offline on your own device with no cloud subscription required; the cost of the cloud services is not stated on the README.
365 Data Science
No accepted price
365 Data Science's 'AI Strategy' is a basic-level online course helping executives and managers formulate, evaluate, and scale AI strategies. Instructed by Bernard Marr, the 4-hour provider headline duration covers AI evolution, identifying high-impact use cases, building a data foundation, and executing AI strategy. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 5 CPE credits; acceptance depends on individual state boards. The required prerequisite is Intro to AI, and advanced preparation includes Data Literacy and Intro to AI. Pricing observations in the United States on 9 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 9 Oct 2026
Price observation recorded 9 Oct 2026 (not a current price): As shown in the United States on 9 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
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IBM
No accepted price
IBM's Introduction to Artificial Intelligence (AI) is a beginner-level Coursera course taught by Antonio Cangiano. Its four modules cover AI applications; core concepts such as machine learning, deep learning, neural networks and large language models; how AI and generative AI are changing business and careers; and ethics and AI governance. The page lists 1 week at 10 hours a week, a flexible schedule, 13 assignments, hands-on labs and a final project designing a generative AI solution for an organizational challenge. It is taught in English with a shareable certificate. As shown in the United States on 7 October 2026, no price is stated: the page shows Enroll for free and financial aid, and the certificate needs the purchased Certificate experience.
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Facts checked 7 Oct 2026
No accepted price. No amount is stated on the course page as shown in the United States on 7 October 2026: it shows "Enroll for free", "Included with" Coursera Plus, "Financial aid available" and a subscription trial. Its FAQ says that to access course materials, assignments and earn a Certificate you need to purchase the Certificate experience, that eligible learners may start with a Free Trial, and that some courses offer a Full Course, No Certificate option.
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IBM
No accepted price
The IBM AI Foundations for Business Specialization on Coursera is a beginner-level program designed for business leaders considering AI solutions. The curriculum introduces the core concepts of artificial intelligence and data science, and presents the AI Ladder framework for deploying AI in an enterprise. Learners explore tools like generative AI and gain skills in big data, cloud computing, and machine learning methods. The self-paced program has a headline estimate of 4 weeks to complete at 10 hours a week, while the FAQ estimates approximately 20 hours in total. Earning the shareable provider-issued course certificate requires completing the 3-course series, which includes checks for understanding. As shown in the United States on 7 October 2026, the program is taught in English.
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No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available' as shown in the United States on 7 October 2026.
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University of Helsinki and MinnaLearn
Free Checked
The Introduction to AI course, created by MinnaLearn and the University of Helsinki, is a free, self-paced online program exploring artificial intelligence fundamentals. The curriculum contains six chapters covering AI definitions, problem solving, probability applications, machine learning types, neural networks, and societal implications. Designed for a general audience with no complicated math or programming prerequisites, the course requires participants to complete at least ninety percent of the exercises with a minimum fifty percent accuracy rate. Assessment includes peer-evaluated exercises requiring learners to provide and receive peer reviews. Upon meeting these requirements, participants earn a digital Elements of AI: Introduction to AI certificate at no cost, which can be shared via URL on LinkedIn.
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University of Helsinki and MinnaLearn
Free Checked
Building AI is a flexible online course offered by the University of Helsinki and MinnaLearn that takes approximately 50 hours to complete. It explores the algorithms underlying artificial intelligence. The curriculum covers fundamental optimization, probability, machine learning, and neural networks. Learners can choose from beginner, intermediate, and advanced exercise options. The intermediate and advanced tiers require programming. While prior completion of Introduction to AI is recommended, it is not a prerequisite. All course content and exercises are accessible for free. Learners who complete 19 of 21 exercises with at least half correct can purchase an optional electronic certificate for EUR 50. The program ends with an optional AI idea project.
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USD 49 per month Checked
Google Prompting Essentials is a beginner, self-paced four-course specialization on writing clear and specific prompts for generative AI tools at work. Its courses cover a prompting framework, everyday work tasks, data analysis and presentations, and using AI as a creative or expert partner, with responsible use and checking outputs for bias and errors. No prior experience is required. Course estimates total 6 hours; the program says under 10 hours. As shown in the United States on 7 October 2026, Coursera charges USD 49 per month after an initial 7-day free trial; financial aid is available. Completion earns a certificate from Google, not a professional certification.
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Facts checked 7 Oct 2026
USD 49 per month after an initial seven-day free trial, as shown in the United States on 7 October 2026. One month of access is not a completion guarantee.
The four course estimates total 6 hours, and Coursera also shows 4 hours to complete; no single guaranteed total or weekly workload is inferred.
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fast.ai
Free Checked
Practical Deep Learning for Coders is fast.ai's free online course for people with some coding experience who want to apply deep learning and machine learning to practical problems. Part 1, recorded in 2022 at the University of Queensland and taught by Jeremy Howard, has 9 lessons of around 90 minutes on computer vision, natural language processing, tabular data, collaborative filtering, random forests and deployment, using PyTorch, fastai, Hugging Face Transformers and Gradio. The only stated prerequisite is about a year of coding, preferably in Python, plus high school math. A separate part 2 runs more than 30 hours. No certificate is mentioned on the page. As shown in the United States on 7 October 2026, the course is free.
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Facts checked 7 Oct 2026
As shown in the United States on 7 October 2026, the official course page calls it "A free course designed for people with some coding experience" and says the course book is freely available online.
Educative
No accepted price
Educative's Generative AI Essentials develops a conceptual understanding of generative models and how to work with them. Its six visible roadmap sections move from introductory concepts and NLP building blocks through foundation models, intelligent interaction, practical applications, and future developments. Topics include text preprocessing, neural networks, encoder-decoder models, prompting, and multimodal AI. The page lists 33 lessons, nine quizzes, and ten hours. A music-generation project is marked Premium, so access should be checked against the selected plan. The page displays a shareable Certificate of Completion and says more lessons must be completed to unlock it. It does not establish an exact certificate threshold or total purchase cost; those should not be guessed from the course length.
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DeepLearning.AI
No accepted price
The AI Python for Beginners course by DeepLearning.AI on Coursera is a beginner-level program teaching Python programming fundamentals and AI integrations. The curriculum covers basic AI Python coding, automating tasks with loops and dictionaries, working with data and documents using files and CSVs, and extending Python with packages and APIs. Students learn to leverage AI assistants for debugging and concept explanation while building practical AI-powered tools like recipe generators and vacation planners. The self-paced online program has a provider estimate of 2 weeks to complete at 10 hours a week. The FAQ states that earning the shareable certificate requires purchasing the certificate experience and completing the course. The program was reviewed in the United States on 7 October 2026.
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Facts checked 7 Oct 2026
No specific total price is stated. The FAQ mentions a Free Trial, a Full Course No Certificate option, and purchasing a Certificate experience, but no numeric course-completion total or currency is established as shown in the United States on 7 October 2026.
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UC Berkeley Executive Education
USD 3050 Checked
UC Berkeley Executive Education offers the online Artificial Intelligence: Business Strategies and Applications program for senior leaders, functional heads, and professionals exploring AI adoption. Over two months, learners allocate four to six hours weekly to study generative AI, prediction simulations, algorithmic bias, and organizational change. The curriculum includes four live sessions, subject to change, starting with current business applications and progressing through predictive models and team building, concluding with future AI trends. Participants engage with recorded materials, case studies featuring organizations like Vodafone, assignments, and discussions. The program requires a USD 3050 fee and culminates in a Capstone Business Challenge Project. Successful participants receive a digital Certificate of Completion, which does not confer degree credit.
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Anthropic
USD 125 Checked
Claude Certified Developer - Foundations (CCDV-F) is Anthropic's certification exam for engineers who build with the Claude API, Claude Code and the Model Context Protocol. It is open only to people at Claude Partner Network organizations. The exam has 53 multiple-choice and multiple-response items in 120 minutes across eight domains, led by Applications and Integration (33.1%), Model Selection and Optimization (16.8%) and Agents and Workflows (14.7%). A scaled score of 720 passes. Pearson VUE delivers it in English, online or at a test center; the credential is valid for 12 months. Its exam guide dates from July 2026. No hiring evidence exists yet. As shown in the United States on 7 October 2026, the exam fee is USD 125.
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Facts checked 7 Oct 2026
As shown in the United States on 7 October 2026, the official exam page displays Purchase | $125, and the certifications page and exam guide list the exam fee as $125 USD. Each retake costs the full fee again. Taxes are not stated on the exam pages.
Valid for 12 months from the date it is awarded. Before it expires it can be renewed free by passing an open-book, non-proctored online assessment on Anthropic Partner Academy, which extends it by another 12 months from the expiration date; a lapsed certification needs the full exam again at the full fee. After a substantial exam update, holders may need to pass the new exam version to stay certified (exam guide and certification policies).
Anthropic
USD 99 Checked
Claude Certified Associate - Foundations (CCAO-F) is Anthropic's certification exam for professionals who use Claude as a productivity tool in roles such as operations, marketing, project management and communications. It is open only to people at Claude Partner Network organizations and does not count toward Claude Partner Network eligibility. The exam has 60 multiple-choice and multiple-response items in 120 minutes across seven domains, from prompting and output evaluation to governance and responsible use; no coding is needed. A scaled score of 720 passes, and the credential is valid for 12 months. Its exam guide dates from July 2026. No hiring evidence exists yet. As shown in the United States on 7 October 2026, the exam fee is USD 99.
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Facts checked 7 Oct 2026
As shown in the United States on 7 October 2026, the official exam page displays Purchase | $99, and the certifications page and exam guide list the exam fee as $99 USD. Each retake costs the full fee again. Taxes are not stated on the exam pages.
Valid for 12 months from the date it is awarded. Before it expires it can be renewed free by passing an open-book, non-proctored online assessment on Anthropic Partner Academy, which extends it by another 12 months from the expiration date; a lapsed certification needs the full exam again at the full fee. After a substantial exam update, holders may need to pass the new exam version to stay certified (exam guide and certification policies).
Anthropic
USD 125 Checked
Claude Certified Architect - Foundations (CCAR-F) is Anthropic's certification exam on tradeoff decisions when building production solutions with Claude Code, the Claude Agent SDK, the Claude API and the Model Context Protocol. It is open only to people at Claude Partner Network organizations. The exam has 60 multiple-choice and multiple-response items in 120 minutes, built on 4 scenarios drawn from a bank of 6, across five domains led by Agentic Architecture and Orchestration (27%). A scaled score of 720 passes. Pearson VUE delivers it in English, online or at a test center; the credential is valid for 12 months. No hiring evidence exists yet. As shown in the United States on 7 October 2026, the exam fee is USD 125.
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Facts checked 7 Oct 2026
As shown in the United States on 7 October 2026, the official exam page displays Purchase | $125, and the certifications page and exam guide list the exam fee as $125 USD. Each retake costs the full fee again. Taxes are not stated on the exam pages.
Valid for 12 months from the date it is awarded. Before it expires it can be renewed free by passing an open-book, non-proctored online assessment on Anthropic Partner Academy, which extends it by another 12 months from the expiration date; a lapsed certification needs the full exam again at the full fee. After a substantial exam update, holders may need to pass the new exam version to stay certified (exam guide and certification policies).
365 Data Science
USD 36/month Checked
The Introduction to Vector Databases with Pinecone is an advanced, online self-paced course provided by 365 Data Science. The program contains two advertised hours of instructional content and a separately listed thirty-minute course exam. Learners access the materials through the 365 Data Science Self-Study subscription plan, which costs USD 36 per month regular for access. The curriculum covers vector spaces, embedding algorithms, and the practical implementation of semantic search engines using Python and Pinecone. Prerequisites include intermediate Python skills, a Pinecone account with an active API key, and a compatible code editor such as Jupyter Notebook. The coursework culminates in a case study where learners apply their knowledge to custom data.
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365 Data Science
USD 36/month Checked
365 Data Science offers the advanced online self-paced course "Build Conversational AI Memory with LangGraph." Access requires a Self-Study subscription for USD 36 per month regular; third-party API usage may cost extra. The curriculum provides two advertised hours of instructional content across six subject modules, starting with an introduction and environment setup before covering graph components, message management, and thread-level persistence. Learners finish with a combined course project and exam section listed at 160 minutes. The program features 21 lessons, three exercises, one project, and two exams. Intermediate Python skills are required, and LangChain familiarity is recommended.
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365 Data Science
USD 36/month Checked
"Intro to AI Agents and Agentic AI" is a basic-level, online self-paced course offered by 365 Data Science. It focuses on the fundamentals of artificial intelligence agents, different agent architectures, and practical implementation using tools like n8n. The curriculum consists of two hours of advertised content alongside fifty-two lessons and twenty-eight exercises, with a separately listed sixty-minute course exam. The provider lists "Intro to AI" as the prerequisite course. Access to the program is provided through the provider's Self-Study subscription plan, which costs USD 36 per month regular. On 2026-09-16, the provider page listed three CPE credits in Specialized Knowledge for this course.
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365 Data Science
USD 36/month Checked
Evaluating AI Agents: From Metrics to Real-World Impact is an intermediate, online self-paced course offered by 365 Data Science. Designed for artificial intelligence developers, product managers, and researchers, the curriculum covers quantitative and qualitative approaches to assessing models. Learners examine generative systems, classifiers, and retrieval-augmented generation pipelines across two advertised hours of content. The program explores evaluation metrics such as Goal Success Rate, Context Recall, precision, recall, and F1-scores, alongside human-centric feedback and ethical considerations like bias and hallucination mitigation. Prospective students need a working knowledge of Python and a basic understanding of machine learning workflows. Access to the material, the capstone project, and the concluding forty-minute examination requires a Self-Study subscription, which costs USD 36 per month regular.
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365 Data Science
USD 36/month Checked
"AI Agents in Practice" is an online, self-paced course by 365 Data Science focused on designing agentic systems. Billed as an advanced-level program, the curriculum contains two hours of advertised content. Learners access the materials via the provider's Self-Study subscription for USD 36 per month regular. Additional third-party costs for OpenAI API usage may apply during practical exercises. The syllabus covers core agent principles, prompt techniques, and frameworks such as ReAct, ReWOO, LangGraph, and LangSmith. The curriculum includes three taught project walkthroughs and a separate final project-and-exam section. The listed prerequisites are intermediate Python skills and a basic understanding of large language models and prompt design.
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365 Data Science
USD 36/month Checked
The AI Agent Architecture course by 365 Data Science is an intermediate, online self-paced program focused on building agentic systems. The curriculum features two hours of advertised content across twelve instructional modules, with a separately listed sixty-minute exam. Learners explore single and multi-agent structures, prompting frameworks, planning, execution, and memory systems. Covered methodologies include ReAct, ReWOO, and prompt chaining. Prerequisites are introductory courses in AI and AI agents. Course access requires a Self-Study subscription, priced at USD 36 per month regular. On 2026-09-16, the provider page listed four CPE credits for this course. This subscription provides one month of access to the provider's learning platform, rather than a fixed cost for guaranteed program completion.
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NVIDIA
USD 500 Checked
The NVIDIA-Certified Professional: AI Operations (NCP-AIO) is an intermediate-level certification designed for MLOps, DevOps, and AI infrastructure engineers. It validates the ability to monitor, troubleshoot, and optimize NVIDIA AI infrastructure. The certification costs USD 500 and consists of a 120-minute, remotely proctored online exam. The exam requires candidates to answer 30 multiple-choice questions and complete three hands-on lab exercises within the same single session. Prerequisites include two to three years of operational experience in a data center environment managing NVIDIA hardware. The credential is valid for two years, after which recertification requires retaking the exam. Candidates who pass receive a digital badge and an optional certificate. Topics evaluated include installation, deployment, administration, workload management, and troubleshooting using Slurm, Kubernetes, and Base Command Manager.
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NVIDIA
USD 400 Checked
The NVIDIA-Certified Professional: AI Networking credential assesses intermediate ability to deploy and configure environments using NVIDIA networking technologies. NVIDIA lists a remotely proctored online exam with 70-75 questions, a 120-minute sitting time, English delivery and a USD 400 price on the reviewed US page. Candidates should have two to three years of NVIDIA data-center operational experience and be able to deploy and manage networking infrastructure for AI workloads. The blueprint covers Spectrum and InfiniBand networking, troubleshooting, automation, Kubernetes integration and AI data-center design. Passing participants receive a digital badge and optional certificate. The certification is valid for two years from issuance, and recertification may be achieved by retaking the exam. Optional preparation courses are listed separately.
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NVIDIA
USD 400 Checked
The NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) is an intermediate-level credential for data center, infrastructure, network, storage, and system administrators, as well as solution architects. It validates the candidate's ability to deploy, configure, and troubleshoot NVIDIA AI infrastructure. To earn the credential, individuals must pass an online, remotely proctored exam hosted on Certiverse. The exam costs USD 400 and has a 120-minute time limit. Prerequisites include two to three years of operational experience deploying infrastructure for AI workloads using NVIDIA hardware. The certification remains valid for two years from issuance, with recertification requiring candidates to retake the exam. Successful participants receive a digital badge and an optional certificate.
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MIT xPRO
No accepted price
The AI Strategy and Leadership Program is a 12-week online MIT xPRO program, delivered with Emeritus, for executives, directors and managers, consultants and founders who lead AI adoption. Twelve modules run in two phases: AI and data foundations (AI strategy, data strategy, deployment, AI risks, data privacy) and leading AI transformation (leadership, nimble organizations, x-teams, AI governance, culture of innovation), plus eight optional live sessions on topics such as agentic AI and AI regulation. Expect about 5 hours per week; no coding is required. Passing at 70 percent earns a certificate of completion and 6.0 CEUs. The program fee did not render on the page captured from the United States on 6 October 2026: no accepted price.
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Facts checked 6 Oct 2026
As shown in the United States on 6 October 2026, the STARTS ON and PROGRAM FEE fields of the official page render no date and no amount in the captured page text; the page FAQ says the fee is shown at the top of the page, payment is in US dollars only, and Emeritus collects all program payments: no accepted price.
A verified smart digital certificate, sent approximately two weeks after the program once grading is complete, that can be shared with friends, family, schools or potential employers and displayed on a resume or LinkedIn profile; no hard copy is issued.
Microsoft Learn
No accepted price
Exam AB-731 leads to Microsoft Certified: AI Transformation Leader, a Beginner-level certification for business decision-makers who guide AI transformation with Microsoft 365 Copilot, Azure AI and Microsoft Foundry without writing code. It measures three skill areas: the business value of generative AI solutions (35-40%), the benefits and capabilities of Microsoft's AI apps and services (35-40%), and an implementation and adoption strategy (20-25%), including responsible AI and governance. The proctored exam lasts 45 minutes and needs a score of 700. The captured pages do not say whether this certification expires. As shown in the United States on 6 October 2026, no exam price is displayed; Microsoft says the price depends on where the exam is proctored.
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Facts checked 6 Oct 2026
As shown in the United States on 6 October 2026, no accepted price: the captured certification page states only "Price based on the country or region in which the exam is proctored." and no amount is rendered in the captured page text.
The captured pages list the level as Beginner and do not say whether this is a fundamentals, associate, expert or specialty certification. Microsoft states that associate, expert and specialty certifications expire annually and renew free through an online assessment on Microsoft Learn that opens six months before expiry, and that fundamentals certifications do not expire.
Harvard Business School Online
USD 1949 Checked
AI Essentials for Business is an on-demand Harvard Business School Online course, taught by HBS professors Karim R. Lakhani and Marco Iansiti, on how AI is transforming business. Four modules (The Age of AI, The Rise of Generative AI, Strategy: Network Effects and Learning Effects, and Transformation Journey) take 16-24 hours over 4 weeks, with case-based exercises. It is aimed at business professionals, leaders, aspiring leaders and functional specialists; no prerequisites are stated. Completing the course earns a Certificate of Completion, and it counts toward a Certificate of Specialization when three Digital Transformation and AI courses are completed within 18 months. As shown in the United States on 6 October 2026, the price is USD 1,949.
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Facts checked 6 Oct 2026
As shown in the United States on 6 October 2026, the official course page displays Price $1,949 for this on-demand course. Taxes are not stated.
The course page presents the certificate as a resume credential ("Boost your resume with a Certificate of Completion from HBS Online"); no digital sharing or verification method is stated on the captured pages.
USD 49 / month Checked
The Google AI Professional Certificate is an online, self-paced beginner program consisting of eight courses focused on workplace AI fluency. Learners complete over twenty hands-on activities covering brainstorming, data analysis, content creation, and application development without writing code. Topics include prompting, responsible AI use, and building custom tools using vibe coding. No prior programming or AI experience is required. Learners can use browser-based generative AI tools for labs. US access costs USD 49 per month; financial aid is available. Completing all eight courses earns a shareable certificate from Google. This is workplace AI practice, rather than advanced machine-learning programming instruction.
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US price; prices may vary in other countries. No Canadian currency inference.
No promotional price stated in the checked source.
Program-specific subscription includes all eight courses and graded assessments. This is access pricing, not a completion total. Google AI Pro trial is optional and subject to terms; financial-aid recipients do not receive that trial. In the U.S. and Canada, the subscription cost is $49 per month. When you purchase the Google AI Professional Certificate, you’ll have access to all course materials, including videos, activities, readings, and graded assessments.
Databricks
USD 200 Checked
The Databricks Certified Machine Learning Professional credential assesses a candidate's ability to design, implement, and manage enterprise-scale machine learning on Databricks. The assessment is a 120-minute online-proctored exam featuring 59 scored multiple-choice questions and costs USD 200. Assessed domains include scalable SparkML pipelines, distributed training, advanced MLflow, MLOps testing, automated retraining, Lakehouse Monitoring, and model serving. Databricks requires no prerequisites, but highly recommends one year of hands-on experience and knowledge of Python, scikit-learn, and SparkML. The certification is valid for two years, and recertification requires passing the current exam. The passing threshold, preparation time, and availability of a digital badge are not disclosed in the official exam guide.
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Stanford Online
USD 2045 Checked
XCS229 Machine Learning is a Stanford School of Engineering professional course with prerecorded lectures, scheduled coursework and live sessions, taught by Tengyu Ma and Christopher Ré. It gives a broad introduction to machine learning and statistical pattern recognition: supervised learning, kernels and support vector machines, unsupervised learning, component analysis, deep learning basics and learning theory, with algorithms built from scratch. The listed session runs Nov 16 - Feb 7, 2027 at 10-15 hours per week. A score of 70% or higher on required assignments earns a Certificate of Achievement. An application checks Python, calculus, linear algebra and probability. It is an AI Professional Program course. As shown in the United States on 5 October 2026, tuition is USD 2,045.
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Facts checked 5 Oct 2026
As shown in the United States on 5 October 2026, the official course page displays Tuition $2,045.00 for an individual enrollment in the Nov 16 - Feb 7, 2027 session; group pricing for five or more is by request. Taxes are not stated.
Not stated on the captured course page.
Stanford Online
USD 2045 Checked
Stanford Online's Artificial Intelligence Professional Program, from the Stanford School of Engineering, adapts on-campus graduate courses for working professionals. Each 10-week online course runs 10-15 hours per week with recorded lectures, coding and written assignments and a course facilitator. Eight courses are listed, including XCS229 Machine Learning, XCS224N NLP with Deep Learning, XCS234 Reinforcement Learning and XCS231N computer vision. A short application checks Python, calculus, linear algebra and probability. Three program courses, or two plus one AI Graduate Program course, earn the Stanford Professional Certificate in Artificial Intelligence, delivered as a blockchain-verified digital certificate. As shown in the United States on 5 October 2026, tuition is USD 2,045 per course.
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Facts checked 5 Oct 2026
As shown in the United States on 5 October 2026, the official program page displays tuition of $2,045 USD per course for individual enrollments. The Stanford Professional Certificate in Artificial Intelligence needs three program courses, or two program courses plus one AI Graduate Program course, which is priced separately. Group pricing for five or more is by request. Taxes are not stated.
Delivered as a digital certificate verified on the blockchain, which can be shared on LinkedIn or other social platforms and verified to employers.
NVIDIA
USD 200 Checked
The NVIDIA-Certified Professional: Accelerated Data Science credential assesses intermediate GPU-accelerated data-science workflows. The exam contains 60-70 questions, is listed in English and costs USD 200 on the reviewed US page. NVIDIA lists two to three years of hands-on accelerated data-science experience plus machine-learning, GPU-computing, optimization and end-to-end workflow foundations as prerequisites. Passing yields a digital badge and optional certificate. The certification is valid for two years; recertification may be achieved by retaking the exam. Preparation resources are optional, and no preparation-duration estimate is published.
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NVIDIA
USD 125 Checked
The NVIDIA-Certified Associate: Generative AI Multimodal (NCA-GENM) is an entry-level credential offered by NVIDIA. It evaluates foundational skills for designing, implementing, and managing AI systems across text, image, and audio data. NVIDIA lists a basic understanding of generative AI as the prerequisite. The online, remotely proctored assessment requires a 60-minute sitting time, excluding any preparation. The English-language exam costs USD 125. Individuals who pass receive a digital badge and an optional certificate. The certification remains valid for two years and requires retaking the exam for recertification.
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NVIDIA
USD 125 Checked
The NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) is an entry-level credential offered by NVIDIA. It validates foundational concepts in AI computing infrastructure and operations. NVIDIA lists a basic understanding of data-center infrastructure as the prerequisite. The assessment consists of a remotely proctored online exam with 50 questions and a 60-minute sitting time. The English-language exam focuses on essential AI knowledge, AI infrastructure, and AI operations. The exam costs USD 125. A separate self-paced course taking approximately seven hours is recommended but not required. The credential is valid for two years, and successful candidates receive a digital badge and an optional certificate.
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NVIDIA
USD 125 Checked
The NVIDIA-Certified Associate: Accelerated Data Science credential assesses entry-level proficiency with GPU-accelerated tools and libraries for data-science workflows. NVIDIA lists an online, remotely proctored exam with 50-60 questions, a 60-minute sitting time, English delivery and a USD 125 price on the reviewed US page. The page lists one to two years of accelerated data-science experience under prerequisites. Topics include data preparation, RAPIDS machine learning, pipelines, descriptive analysis, accelerated-data-science foundations, introductory MLOps, advanced data structures, and environment management. Passing participants receive a digital badge and optional certificate. The certification is valid for two years, and recertification may be achieved by retaking the exam. NVIDIA lists optional preparation resources but does not publish preparation hours.
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MIT xPRO
No accepted price
Designing and Building AI Products and Services is a 10-week online MIT xPRO program, delivered with Emeritus, that teaches technical product leaders, technologists, consultants and founders to design, build and pitch AI-based products. Nine modules cover the AI design process, machine learning and deep learning fundamentals, generative AI with RAG and chain-of-thought prompting, human-computer interaction and superminds; three live sessions cover agentic AI and the Model Context Protocol. Expect about 6 hours per week; the content assumes calculus, linear algebra, statistics and probability. Passing at 70 percent earns a certificate of completion and 6 CEUs. The fee did not render on the page captured from the United States on 5 October 2026: no accepted price.
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Facts checked 5 Oct 2026
As shown in the United States on 5 October 2026, the program fee and start date fields of the official page render no amount and no date in the captured page text; the page FAQ says the fee is noted at the top of the page and that Emeritus collects all program payments: no accepted price.
A verified smart digital certificate that can be shared with friends, family, schools or potential employers, and displayed on a resume or LinkedIn profile; no hard copy is issued.
MIT Professional Education
USD 3900 Checked
MIT Professional Education's Applied AI and Data Science Program, formerly the Applied Data Science Program, is a live online program with curriculum developed and taught by MIT faculty and delivered with Great Learning. The page lists 15 weeks as the course length and, in its curriculum, 14 weeks: foundations, core weeks on machine learning, deep learning, recommendation systems and generative AI including RAG and agentic AI, a project week and a 3-week capstone. Mentors run small-group sessions. Prerequisites are basic programming and statistics. Completion earns a certificate of completion; 16 CEUs are listed. As shown in the United States on 5 October 2026, the course fee is USD 3,900 for the session dated Nov 21, 2026 to Mar 28, 2027.
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Facts checked 5 Oct 2026
As shown in the United States on 5 October 2026, the official course page displays a Course Fee of $3,900 for the live online session dated Nov 21, 2026 to Mar 28, 2027. Taxes are not stated.
Not stated on the captured page.
Microsoft Learn
No accepted price
Microsoft Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions assesses MLOps and GenAIOps work on Azure. It covers MLOps infrastructure, the machine-learning model lifecycle, GenAIOps infrastructure, generative-AI observability and performance optimization. Expected background includes data science, Python, entry-level DevOps, GitHub Actions, command-line interfaces, Azure Machine Learning, Microsoft Foundry and infrastructure as code using Bicep or Azure CLI. A score of 700 or greater is required to pass. It earns Microsoft Certified: Machine Learning Operations Engineer Associate; the proctored English exam lasts 120 minutes, priced by proctoring region. Microsoft states that its associate, expert and specialty certifications expire annually and can be renewed by passing a free online Microsoft Learn assessment.
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Harvard Extension School
USD 14320 Checked
Harvard Extension School's Artificial Intelligence Graduate Certificate is a fully online program of four courses taken for graduate credit: one each in foundations of AI, advanced NLP and machine learning, deep learning and computer vision, and AI ethics, governance and law. Courses run in fall, spring and summer terms with live and on-demand options. There is no application; you register for each course. Statistics and basic Python are recommended. You need at least a B in each course and must finish within three years; the page says 8 months is possible at two courses per semester. As shown in the United States on 5 October 2026, the page displays tuition of USD 14,320.
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Facts checked 5 Oct 2026
As shown in the United States on 5 October 2026, the official certificate page displays Tuition $14,320 in its header beside 4 online courses. The cost-of-attendance page it links to was not captured, so per-course tuition and other fees are not established. Taxes are not stated.
Not stated on the captured page.
DeepLearning.AI
Access via Coursera Plus: USD 59/month or USD 399/year, as shown in the United States on 5 October 2026
Retrieval Augmented Generation (RAG) is an intermediate DeepLearning.AI course taught by Zain Hasan, self-paced, with 49 video lessons, 9 code examples and 10 graded assignments across five modules, listed at 26h3m of content. It covers retrievers, keyword, semantic and hybrid search, vector databases with Weaviate, prompt design, evaluation and RAG systems in production, with labs on news, e-commerce and healthcare data. Intermediate Python is required. The certificate needs a paid route, PRO on DeepLearning.AI, whose amounts did not render on the captured page, or Coursera; free audit gives no certificate. As shown in the United States on 5 October 2026, Coursera Plus, which includes the course, costs USD 59 a month or USD 399 a year.
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Facts checked 5 Oct 2026
As shown in the United States on 5 October 2026, the DeepLearning.AI course page shows no price: the certificate comes with the PRO membership, whose plan amounts did not render on the captured membership page. On Coursera the course is shown as included with Coursera Plus, displayed at $59/month (7-day free trial, cancel anytime) or $399/year (14-day money-back guarantee). These are subscription prices, not a fixed course completion total.
The Coursera page lists a shareable certificate that you can add to your LinkedIn profile.
Stanford Online
USD 1650 Checked
Stanford Online's Agentic AI program, from the Stanford School of Engineering, adapts a graduate-level Stanford curriculum taught by Adjunct Professor Chowdhery and Assistant Professor Mirhoseini for working professionals. It is 100% online and on demand, with 90 days of access and about 30 hours of video and coding assignments, covering test-time scaling, verification, self-improvement, tool use, memory, planning and agent evaluation. A short application comes first; Python, LLM APIs and basic machine learning are expected. Completion earns a Stanford Certificate of Completion as a digital badge. As shown in the United States on 4 October 2026, tuition is USD 1,650; OpenRouter tokens for assignments, estimated at about USD 100, are extra. The page states no launch date.
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Facts checked 4 Oct 2026
As shown in the United States on 4 October 2026, the official program page displays Tuition $1,650 for an individual enrollment with 90 days of access. Assignments also need 100M tokens bought separately from OpenRouter.ai; the provider estimates about $100 of additional compute expenses. Taxes are not stated.
Issued as a digital badge verified on the blockchain, which can be shared with your network and verified by employers.
MIT Professional Education
USD 2850 Checked
No Code and Agentic AI is a 14-week online MIT Professional Education program, offered with Great Learning, that teaches AI and machine learning without writing code. Weekly units move from LLMs and prompt engineering through clustering, regression, classification and recommendation systems to RAG workflows, evaluating generative AI, single agents and multi-agent systems, with three project weeks and a learning break; four self-paced modules add deep learning, computer vision, responsible AI and time series. Mentors run small-group sessions. Completion earns a certificate of completion and 10 CEUs are listed. As shown in the United States on 4 October 2026, the course fee is USD 2,850 for the session dated Oct 10, 2026 to Feb 14, 2027.
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Facts checked 4 Oct 2026
As shown in the United States on 4 October 2026, the official course page displays a Course Fee of $2,850 for the online session dated Oct 10, 2026 to Feb 14, 2027. Great Learning manages enrollments, including all payment services and invoicing. Taxes are not stated.
Not stated on the captured page.
Microsoft Learn
No accepted price
Exam AB-100 leads to Microsoft Certified: Agentic AI Business Solutions Architect Expert, for solution architects who design AI and agent solutions across Dynamics 365, Power Platform, Copilot Studio and Microsoft Foundry. It measures three skill areas: plan (25-30%), design (25-30%) and deploy (40-45%) AI-powered business solutions. Passing the exam is not enough: Microsoft also requires one prerequisite Associate-level certification from its listed set. The passing score is 700, and the English exam will be updated on October 14, 2026. Expert certifications expire annually and renew through a free online assessment. As shown in the United States on 4 October 2026, no exam price is displayed; Microsoft says the price depends on where the exam is proctored.
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Facts checked 4 Oct 2026
Before tax. As shown in the United States on 4 October 2026, no accepted price: the captured exam page states only that the price is based on the country or region in which the exam is proctored, and no amount is rendered in the captured page text. Pricing excludes taxes per the page footnote.
Microsoft associate, expert and specialty certifications expire annually; renewal is free by passing an online assessment on Microsoft Learn, which opens six months before expiry and has no retake limit. Renewal by a beta exam or by retaking the exam is not accepted. The renewal FAQ gives a renewal option to certifications available for more than six months; the captured pages do not state when this certification became available. An expert certification does not expire automatically when its associate prerequisite expires.
Educative
No accepted price
Educative's LLM Bootcamp focuses on decisions involved in designing, adapting and evaluating language-model applications. Its ten roadmap sections cover architectures, risks, transformers, vector databases, prompting, fine-tuning, LangChain, agentic workflows, retrieval-augmented generation and evaluation. The page lists 84 lessons, 85 quizzes (Field observation date not recorded.), six Cloud Labs and sixteen hours. All six labs are marked Premium Plus; Standard covers course content, not those labs. Certificate claiming requires paid access, applicable assessments and sufficient interaction time. A claimed certificate is described as lifetime, subject to the legal-name exception. Consider it for application-design and evaluation topics, not as a non-coding business overview or an assumption that every activity is included in Standard.
Course page checked ; pricing and other field dates retained
Course facts checked 4 Oct 2026; price observed 23 Sep 2026
Price observed 2026-09-23. The reviewed course-specific source does not establish the total price of completing this credential.
A claimed certificate lasts for a lifetime and does not expire unless the legal name is changed; no renewal term is stated.
DeepLearning.AI
USD50 for one month Checked
Generative AI for Everyone is a beginner course from DeepLearning.AI for understanding generative-AI capabilities, tools, projects, business strategy and social implications. It requires no coding skills or prior AI knowledge. The publisher lists 5 hours and 1 minute, 32 video lessons, two code examples and six graded assignments marked Pro; these are workload and content descriptions, not a completion guarantee. Its three sections cover an introduction, generative-AI projects, and business and society. A certificate on the publisher platform requires Pro access. Coursera is a separate enrollment route; check its current access period and certificate eligibility before paying. Choose this for broad orientation, not sustained engineering implementation practice.
Course page checked ; pricing and other field dates retained
Course facts checked 4 Oct 2026; price observed 6 Sep 2026
Price details observed 2026-09-06. Regular/reference USD50 for one month of direct Pro access, not a completion guarantee. A time-limited promotion was displayed on 6 September 2026.
DeepLearning.AI
No accepted price
AI for Everyone is a beginner, non-technical course from DeepLearning.AI, taught by Andrew Ng. It explains AI terminology, realistic capabilities, project workflows, company AI strategy and social implications. No technical or business background is required. The publisher lists thirty-five video lessons, four Pro graded assignments and six hours fifty-four minutes of content; Coursera separately estimates seven hours. The publisher's pacing FAQ gives four weeks at two to three hours weekly. Pro and Coursera offer distinct certificate and payment routes. The Coursera certificate-eligibility window is separate from Pro access. Consider it for conceptual and organizational understanding, not hands-on prompting instruction or programming practice.
Course page checked ; pricing and other field dates retained
Course facts checked 4 Oct 2026; price observed 6 Sep 2026
Price observed 2026-09-06. Selected route is DeepLearning.AI Pro monthly; see provider regular/reference pricing. The separate Coursera-framed publisher FAQ quotes $49 for 180 days of certificate eligibility without identifying currency.
The publisher pacing FAQ says about 4 weeks at 2–3 hours per week. These are estimates on different bases, not a completion guarantee.
The Coursera route offers a shareable certificate for LinkedIn; publisher Pro award terms are separate.
DeepLearning.AI
No accepted price
Agentic AI is an intermediate DeepLearning.AI course taught by Andrew Ng, self-paced, with 31 video lessons, 7 code examples and 8 graded assignments in five modules. It teaches four agentic design patterns, reflection, tool use, planning and multi-agent workflows, built in Python from first principles, plus evaluations, error analysis and cost and latency tuning. The page shows an update date of Feb 2, 2026; it does not state a launch date. The certificate needs a Pro membership and completed assessments; free auditing gives videos and the forum, with no certificate. As shown in the United States on 4 October 2026, Pro costs USD 25 a month billed annually or USD 30 billed monthly; there is no fixed course price.
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Facts checked 4 Oct 2026
Before tax. As shown in the United States on 4 October 2026, the course page FAQ states that the DeepLearning.AI Pro membership costs $25/mo billed annually and $30/mo billed monthly, with all prices listed in USD; taxes may apply depending on location, and the help-center article says prices exclude taxes unless otherwise stated. The certificate, quizzes and graded labs come with Pro; a free audit gives the videos and the forum only. This is membership pricing, not a fixed course completion total.
Not stated on the captured pages.
Amazon Web Services
USD 75 Checked
MLA-C02 is the beta of the updated AWS Certified Machine Learning Engineer - Associate exam. It covers building, deploying, operating and securing ML and AI solutions on AWS, now including foundation models, Amazon Bedrock, RAG and agentic workflows, across four domains weighted 28%, 24%, 24% and 24%. Beta registration opened September 1, 2026 and beta delivery began September 29, 2026; general availability dates are TBD. The beta is English only, with 85 questions in 170 minutes and results typically within 5 business days. The certification is valid 3 years. As shown in the United States on 4 October 2026, the beta exam costs USD 75 (beta pricing). This record is separate from MLA-C01.
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Facts checked 4 Oct 2026
As shown in the United States on 4 October 2026, the AWS certification page lists the MLA-C02 beta exam at $75 USD, labelled beta pricing. The price for general availability is not stated; general availability registration and delivery dates are TBD. Tax treatment is not stated on the captured beta page; optional preparation is separate from the exam fee.
Valid 3 years. Before it expires, you can recertify by passing the latest version of this exam (certification page FAQ).
Amazon Web Services
USD 300 Checked
The AWS Certified Generative AI Developer - Professional (AIP-C01) is a certification from Amazon Web Services. It targets professionals with two years of experience building production-grade applications on AWS or open-source technologies, general AI or machine learning experience, and one year of hands-on experience implementing generative AI solutions. The 180-minute exam contains 65 scored questions and 10 unscored questions, using multiple-choice and multiple-response formats. It costs USD 300 for a single attempt, subject to regional pricing. No prior certification is required. Domains cover foundation-model integration, data management, compliance, implementation, AI safety, security, governance, operational efficiency, testing, and troubleshooting. The credential is valid for three years; recertification requires passing the current exam version.
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Facts checked 4 Oct 2026
USD 300 for one attempt; foreign-exchange rates, regional pricing, optional preparation and repeat attempts are separate.
Valid for three years. Recertify by passing the latest version of the exam.
Amazon Web Services
USD 50 Checked
AWS Certified AI Business Strategist (AIB-C01 beta) assesses AI investment evaluation, business cases, governance and scaling adoption; AWS says it does not assess AWS services knowledge. AWS announced beta registration from September 1, 2026 and exam delivery from September 29; on October 4 the page lists the beta exam with scheduling open. The main page lists 85 multiple-choice and multiple-response questions, USD 50 beta pricing and a future USD 100 standard price. English and Japanese are listed, with Pearson test-center or online-proctored delivery. No coding, AWS implementation experience or prior AWS certification is required; six months around AI initiatives is recommended.
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Facts checked 4 Oct 2026
USD 50 beta exam price; AWS lists USD 100 as the standard exam price. Preparation and repeat attempts are separate.
Valid for three years; renew by passing the latest version of the exam.
365 Data Science
No accepted price
365 Data Science's senior data scientist career track is a 100% online, advanced sequence with 34 hours of listed content, designed as the next step after its Data Science Career Track. The track page lists ten courses: one optional, seven required and two electives. The AI content is machine learning and deep learning: ML algorithms, the ML process from problem definition to deployment, ML business applications, deep learning with PyTorch, and convolutional neural networks with TensorFlow, plus ChatGPT for data science. Completion earns a Senior Data Scientist Certificate. As shown in the United States on 4 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
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Facts checked 4 Oct 2026
Price observation recorded 4 Oct 2026 (not a current price): As shown in the United States on 4 October 2026, the 365 Data Science pricing page displays a Free plan at $0/month (course previews, projects, interactive exercises and practice exams) and a Self-study plan at $29/month billed annually, shown against a $36/month figure; a billed-monthly option is shown without a separate amount in the captured page. The FAQ states $29/month. A Lifetime plan shows no amount (Contact us). Accredited certificates are listed under Self-study, not Free. These are platform subscription quotes, not a fixed career-track completion total.
Not stated on the captured track page or pricing page.
We may earn a commission. It does not change our facts.
IBM
No accepted price
The IBM Data Science Professional Certificate on Coursera is a beginner-level program designed to prepare individuals for entry-level data scientist roles in the United States. Instructed by the IBM Skills Network Team, the curriculum teaches students how to import, clean, analyze, and visualize data, as well as build machine learning models and pipelines. Learners gain hands-on experience using Python, SQL, Jupyter notebooks, GitHub, and various data science libraries. The self-paced online program has a provider estimate of less than 6 months to complete, while the headline states 4 months at 10 hours a week. Earning the shareable provider-issued course certificate requires completing the 12-course series and a portfolio of data projects. As captured on 3 October 2026, the program is taught in English.
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Facts checked 3 Oct 2026
No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available'.
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
IBM
No accepted price
The IBM Data Engineering Professional Certificate program on Coursera is a beginner-level series of 16 courses offered by IBM. The curriculum covers foundational data engineering skills including Python programming, SQL, relational databases, NoSQL, Apache Spark, and building data pipelines. Students learn to use tools like MongoDB, Hadoop, and Airflow. Instructed by the IBM Skills Network Team, the self-paced online program has a provider estimate of less than 5 months to complete, while the headline states 6 months at 10 hours a week. Earning the shareable provider-issued course certificate requires completing the hands-on labs and projects throughout the program. As captured on 3 October 2026, the program is taught in English.
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Facts checked 3 Oct 2026
No specific total price is stated. The FAQ describes subscribing to a course or Certificate; financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
$49 per month Checked
The Google Data Analytics Professional Certificate by Google on Coursera is a beginner-level program designed to prepare individuals for entry-level roles in data analytics. The curriculum covers data cleaning, analysis, and visualization using tools such as spreadsheets, SQL, Tableau, and Python. Students learn to process data, create dashboards, and present findings. The self-paced online program features an estimated completion time of less than 6 months at under 10 hours a week, with over 180 hours of instruction and hundreds of practice-based assessments. Earning the shareable provider-issued course certificate requires completing the 9 course series and a capstone project. As captured on 3 October 2026, the course is taught in English.
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Facts checked 3 Oct 2026
The FAQ describes a subscription of $49 per month after a 7-day free trial in the U.S. and Canada, with an estimated total of less than $300 USD for most learners. Financial aid is available.
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Google Cloud
USD 200 Checked
Google Cloud's Professional Machine Learning Engineer certification assesses conventional and generative-AI engineering on Google Cloud, from low-code architecture and cross-team data management to model serving, pipelines and monitoring. It is a separate proctored exam, not the Google Skills preparation path. Google states no formal prerequisites but recommends three or more years of industry experience, including at least one year designing and managing Google Cloud solutions. The two-hour assessment has 50–60 questions; this is not a preparation-time estimate or a direct coding-skills test. Registration is USD 200, with preparation and repeat attempts separate. Choose it for experienced Google Cloud engineering assessment, and plan for the credential's two-year validity and renewal requirements.
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Facts checked 3 Oct 2026
USD 200 for one certification exam registration/attempt. Optional preparation and repeat-attempt costs are separate. Currency is explicitly stated by the first-party Spanish localization.
2 years from certification. Renewal eligibility begins 60 days before expiration; renewal remains possible up to 30 days after the inactive date, not an extension of active status. Renewal by the applicable exam adds two years.
365 Data Science
No accepted price
365 Data Science's machine learning scientist career track is a 100% online sequence of ten courses with 29 hours of listed content, labelled advanced. The listed curriculum covers linear algebra and feature selection, math for ML, machine learning in Python, and algorithm courses on Naïve Bayes, k-nearest neighbors, decision trees and random forests, support vector machines, and ridge and lasso regression, plus two A-Z overviews. Finishing the track earns a 365 certification; 365's general terms require passing course and career-track exams at 60% or above. As shown in the United States on 3 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
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Facts checked 3 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 Data Science pricing page displays a Free plan at $0/month (course previews, projects, exercises and practice exams) and a Self-study plan at $29/month billed annually, shown against a $36/month reference price; a billed-monthly option is shown without a separate amount in the captured page. The FAQ states $29/month. A Lifetime plan shows no amount (Contact us). Accredited certificates are listed under Self-study, not Free. These are platform subscription quotes, not a fixed career-track completion total.
Verifiable with a Credential ID and Credential Link; can be viewed, downloaded and shared. Accredited certificates are listed under the Self-study plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's 'Intro to MLOps' is a basic-level online course aimed at bridging the gap between developing machine learning models and deploying them in production environments. Instructed by Andrew Jones, the curriculum teaches the fundamentals of machine learning operations using the Databricks ecosystem. The course features 3 hours of headline duration, 4 hours of lesson content, 29 exercises, and 1 final exam. Earning the provider-issued course certificate requires completing the course and passing the course exam with a score of 60% or higher. The provider states the course awards 4 CPE credits, though state board acceptance varies. Required prerequisites include an intermediate understanding of Python and basic Git knowledge. Pricing observations in the United States on 3 October 2026 indicate platform subscription access rather than a per-course fee.
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Facts checked 3 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page displays a Free tier at $0/month and a Self-study price of $29/month billed annually, shown against a $36/month reference price. The FAQ separately states $29/month full access. A Lifetime 'Pay once' plan lacks a numeric amount. USD is confirmed in the page HTML metadata. These are platform subscription quotes, not a fixed course-completion total. Certificates are included with the Self-study learning plan.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's 'Gradient Boosting Made Easy: XGBoost, LightGBM & Friends' is an intermediate-level online course that explores advanced machine learning techniques for tabular data. Instructed by Samson Afolabi, the 2-hour provider headline duration covers the implementation of Gradient Boosted Trees using popular libraries like XGBoost, LightGBM, and CatBoost. Learners are guided through decision trees, hyperparameter tuning, and deploying models into production. Earning the provider-issued course certificate requires both completing the course and passing the associated course exam with a score of 60% or higher. The provider states the course awards 4 CPE credits. Required prerequisites include Python programming, scikit-learn, basic machine learning concepts, and command-line usage. Pricing observations in the United States on 3 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 3 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page displays a Free tier at $0/month and a Self-study price of $29/month billed annually, shown against a $36/month reference price. The FAQ separately states $29/month full access. A Lifetime 'Pay once' plan lacks a numeric amount. USD is confirmed in the page HTML metadata. These are platform subscription quotes, not a fixed course-completion total. Certificates are included with the Self-study learning plan.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's 'Fully Automated MLOps' is an intermediate-level online course designed to teach learners how to build and manage robust machine learning pipelines. Instructed by Stefan Micic, the 1-hour provider headline duration covers MLOps principles, automated data ingestion, deployment strategies, and continuous model monitoring. Earning the provider-issued course certificate requires both completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 2.5 CPE credits; however, acceptance depends on individual state boards. Required prerequisites include Python 3.8 or later, MLflow, Docker, AWS access, and basic MLOps understanding, while introductory Python machine learning and AWS knowledge are recommended advanced preparation. Pricing observations in the United States on 3 October 2026 indicate platform subscription access rather than a fixed per-course fee.
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Facts checked 3 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page displays a Free tier at $0/month and a Self-study price of $29/month billed annually, shown against a $36/month reference price. The FAQ separately states $29/month full access. A Lifetime 'Pay once' plan lacks a numeric amount. USD is confirmed in the page HTML metadata. These are platform subscription quotes, not a fixed course-completion total. Certificates are included with the Self-study learning plan.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's data scientist career track is a 100% online sequence of ten courses with 69 hours of listed content, labelled intermediate. It builds statistics, probability, mathematics, Python and SQL foundations, then teaches machine learning in Python and deep learning with TensorFlow 2, adds product management for AI and data science, and ends with portfolio, resume and interview preparation. The AI content is two of the ten courses plus the AI product course: a data science path with an AI component. Finishing earns a 365 certification after exams at 60% or above. As shown in the United States on 3 October 2026, access sits in the Self-study plan at USD 29 a month billed annually.
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Facts checked 3 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 Data Science pricing page displays a Free plan at $0/month (course previews, projects, exercises and practice exams) and a Self-study plan at $29/month billed annually, shown against a $36/month reference price; a billed-monthly option is shown without a separate amount in the captured page. The FAQ states $29/month. A Lifetime plan shows no amount (Contact us). Accredited certificates are listed under Self-study, not Free. These are platform subscription quotes, not a fixed career-track completion total.
Verifiable with a Credential ID and Credential Link; can be viewed, downloaded and shared. Accredited certificates are listed under the Self-study plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's AI agent engineer career track is a 100% online sequence of ten courses with 36 hours of listed content, labelled intermediate. It moves from AI fundamentals to agent architecture, model context protocols (MCPs), LangChain and LangGraph workflows with memory, multi-agent and human-in-the-loop patterns, agent evaluation and AI ethics. The page also lists four projects, including a LangChain Q&A chatbot. The provider says no prior AI experience is needed to start. Its certification requires finishing the track and passing a final exam. As shown in the United States on 3 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
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Facts checked 3 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 Data Science pricing page displays a Free plan at $0/month (course previews, projects, exercises and practice exams) and a Self-study plan at $29/month billed annually, shown against a $36/month reference price; a billed-monthly option is shown without a separate amount in the captured page. The FAQ states $29/month. A Lifetime plan shows no amount (Contact us). Accredited certificates are listed under Self-study, not Free. These are platform subscription quotes, not a fixed career-track completion total.
Verifiable with a Credential ID and Credential Link; can be viewed, downloaded and shared. Accredited certificates are listed under the Self-study plan.
We may earn a commission. It does not change our facts.
NVIDIA
USD 200 Checked
NVIDIA-Certified Professional: Generative AI LLMs assesses technical work across LLM architecture, prompting, data preparation, optimization, fine-tuning, evaluation, GPU acceleration, deployment and monitoring. NVIDIA brands it Professional while describing the credential as intermediate-level. It expects two to three years of practical AI and machine-learning experience with LLMs; familiarity with NVIDIA platforms is useful but not strictly required. The remotely proctored exam has 60–70 questions and a 120-minute sitting time, not a preparation estimate. The exam fee is USD 200 on the reviewed US page. This is not a first introduction to AI.
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Facts checked 2 Oct 2026
USD 200 for the stated exam registration scope. The official US page displays $200; USD is normalized under the accepted US-source rule, not quoted as a literal ISO label. Preparation and repeat-attempt costs are separate.
2 years from issuance. Retake and pass the exam to recertify.
IBM
Monthly USD 59 Checked
IBM AI Product Manager Professional Certificate combines product-management foundations with introductory AI and generative-AI work across ten courses. Its sequence covers stakeholders, product strategy and delivery, prompting, foundation models, and building AI-powered products. Coursera labels it beginner level, requires no prior experience, and estimates three months at ten hours per week. Treat that as a learning schedule, not a fixed purchase duration. The page describes a project portfolio and a shareable Professional Certificate from IBM, and explicitly identifies Coursera Plus eligibility. It is a product-management route rather than a replacement for deep model-development training. Check the recurring plan and completion requirements separately; the reviewed evidence does not state credential expiry or renewal.
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Facts checked 2 Oct 2026
Monthly USD 59 and annual USD 399 are alternative recurring access plans included with Coursera Plus. As shown in the United States on 2 October 2026, there is no total completion guarantee.
The program page describes a shareable certificate.
IBM
Monthly USD 59 Checked
The IBM AI Developer Professional Certificate is a beginner-oriented ten-course sequence on Coursera focused on building AI-powered applications. The curriculum spans software engineering, AI and generative AI foundations, prompt engineering, web development, Python, Flask, and application projects. The provider banner indicates no prior AI or programming experience is needed to begin. The banner estimates completion in six months at four hours per week, while the FAQ estimates six to eight months at three to five hours per week. The program distinguishes between earning a Professional Certificate from Coursera and a separate digital badge from IBM. It serves as a structured introduction to application building.
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Facts checked 2 Oct 2026
Monthly USD 59 and annual USD 399 are alternative recurring access plans included with Coursera Plus. As shown in the United States on 2 October 2026, there is no total completion guarantee.
The program page describes a shareable certificate.
49 USD per month Checked
The Google Advanced Data Analytics Professional Certificate is a 7-course online, self-paced program for individuals with foundational data analytics experience. The curriculum provides over 200 hours of instruction in Python, Tableau, statistical analysis, and machine learning models, culminating in a capstone project. Recommended completion is 6 months at 10 hours a week. The program assumes prior knowledge of data analysis and requires understanding of SQL and programming concepts. Completing the program earns a Google certificate and an ACE recommendation for up to 9 college credits. As shown in the US on 2 October 2026, the subscription is 49 USD per month; the provider estimates most learners can complete it for under 300 USD total, which is not a fixed completion cost.
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Facts checked 2 Oct 2026
As of 2 October 2026 in the US, the Google Advanced Data Analytics programme costs 49 USD per month following a seven day free trial. The provider estimates most learners finish the certificate for under 300 USD total. This is an estimated cost based on typical completion time, not a fixed price.
Shareable certificate; add to LinkedIn profile.
DeepLearning.AI
No accepted price
The Machine Learning in Production course by DeepLearning.AI on Coursera is an intermediate-level program designed for early-career practitioners and software engineers. Instructed by Andrew Ng, the curriculum teaches how to conceptualize integrated systems that continuously operate in production and solve challenges unique to production environments. Students learn to build data pipelines, establish model baselines, address concept drift, and deploy machine learning applications. The self-paced online program has a provider estimate of 3 weeks at 5 hours a week to complete, while the headline states 1 week at 10 hours a week. Earning the shareable provider-issued course certificate requires paying for the course and completing 6 assignments. As captured on 2 October 2026, the course is taught in English.
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Facts checked 2 Oct 2026
No specific total price is stated. The FAQ describes purchasing the course or subscribing; financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
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Amazon Web Services
USD 150 Checked
The AWS Certified Data Engineer - Associate is an Associate-level certification targeting professionals with 2-3 years of data engineering experience and 1-2 years of hands-on AWS experience. The 130-minute exam contains 65 questions and costs USD 150 for a single attempt. No prior certification is required. Domains cover core AWS data services, ingesting and transforming data, orchestrating data pipelines, designing models, managing data life cycles, and ensuring data quality. The credential is valid for 3 years. Renew for 3 more years by passing the latest version of this exam or the AWS Certified Generative AI Developer - Professional exam (certification must be active).
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Facts checked 2 Oct 2026
USD 150 for one attempt; foreign-exchange rates, regional pricing, optional preparation and repeat attempts are separate.
Valid for 3 years. Renew for 3 more years by passing the latest version of this exam or the AWS Certified Generative AI Developer - Professional exam (certification must be active). Maintain for 1 more year via AWS Skill Builder (requires active certification within 90 days of expiration and an active Monthly, Annual, or Team paid subscription).
365 Data Science
No accepted price
365 Data Science's 'Time Series Analysis with Python' is an intermediate-level, online, self-paced course that teaches proven forecasting techniques and manual model selection principles. Instructed by Viktor Mehandzhiyski, the seven-hour curriculum introduces learners to data normalization and visualizing time series types like white noise and random walk. Topics cover AR, MA, ARMA, ARIMA, ARCH, and GARCH models using Python, culminating in practical business case applications and automated model selection with Auto ARIMA. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The provider lists 11 CPE credits; acceptance depends on the relevant board. Python 3.8 or later, pandas, a code editor, and basic Python programming skills are required, while NumPy familiarity is recommended.
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Facts checked 2 Oct 2026
Price observation recorded 2 Oct 2026 (not a current price): US observation on 2 October 2026: platform Self-study displays $36/month reference price and $29/month billed annually; the FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
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365 Data Science
No accepted price
365 Data Science's 'Introduction to Python' is a basic-level, online course that introduces beginners to fundamental programming concepts and Python's technical advantages for data science and machine learning. Instructed by Martin Ganchev, the two-hour curriculum covers variables, data types, basic syntax, conditional statements, functions, sequences, and iterations, concluding with a prime numbers project. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The provider lists five CPE credits in the Information Technology field of study; acceptance depends on the relevant board. A Jupyter Notebook or JupyterLab setup is explicitly required, but no advanced preparation is necessary.
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Facts checked 2 Oct 2026
Price observation recorded 2 Oct 2026 (not a current price): US observation on 2 October 2026: platform Self-study displays $36/month reference price and $29/month billed annually; the FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Data Analysis with ChatGPT' is a basic-level online course designed to enhance productivity through AI-driven data tasks. Instructed by Ned Krastev, the 2-hour curriculum teaches learners to leverage ChatGPT for exploratory data analysis, preprocessing, cleaning text, and formatting dates. The course utilizes Excel files for data input and evaluation. Earning the provider-issued course certificate requires passing the course exam with a score of 60% or higher. The provider lists 2.5 CPE credits; however, acceptance depends on individual state boards. Required prerequisites include ChatGPT access, basic data familiarity, and Microsoft Excel, while introductory Excel and generative AI knowledge are recommended. Pricing observations in the United States on 2 October 2026 indicate platform subscription access rather than a per-course fee.
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Facts checked 2 Oct 2026
Price observation recorded 2 Oct 2026 (not a current price): US observation on 2 October 2026: The pricing page displays a Free tier at $0/month, a Self-study reference price of $36/month, and a Self-study price of $29/month billed annually. The FAQ separately states $29/month full access. A Lifetime 'Pay once' plan lacks a numeric amount. USD is confirmed in the page HTML metadata. These are platform subscription quotes, not a fixed course-completion total. Certificates are included with the Self-study learning plan.
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Wharton Executive Education
No accepted price
As reviewed in the United States on 1 October 2026, Leadership Program in AI was Wharton Executive Education's six-month program for nontechnical senior executives. Applicants needed at least ten years of work experience; a coding background was not required. Self-paced online learning, faculty-led live sessions, and live webinars on generative AI covered data-driven decisions, machine learning, AI responsibilities, and organizational use of data and algorithms. A six-week leadership course and a capstone with six checkpoints were included. Successful completion earned a digital certificate, not a degree or earned academic credit. The optional two-day campus event was generally held six to nine months after completion. Programme price not stated for the United States on 25 September 2026 in the saved page text. The page describes instalment options; the optional on-campus event registration is USD 250, as shown in the United States on 25 September 2026. This is not the programme fee or an all-in total. Travel and accommodation are excluded.
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Facts checked 1 Oct 2026
Programme price not stated for the United States on 25 September 2026 in the saved page text. The page describes instalment options; the optional on-campus event registration is USD 250, as shown in the United States on 25 September 2026. This is not the programme fee or an all-in total.
Official source · Checked15 weeks of core modules plus a six-week online leadership short course. Optional two-day event generally held six to nine months after program completion. Source disagreement on weekly hours as shown in the United States on 1 October 2026.
Official source · CheckedStanford Online
No accepted price
Stanford Online's Artificial Intelligence Graduate Certificate requires four graduate courses selected from its required and elective lists within three academic years. The program is online; most students take one to two years, with an estimated fifteen to twenty hours per week for each course. Applicants need a bachelor's degree, a qualifying undergraduate GPA and preparation in mathematics, probability and programming. A grade of B or better is required in every selected course. The published tuition range is separate from document and possible drop fees. This is not an introductory course for a learner without the stated technical prerequisites, and current course availability can limit immediate enrollment.
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Facts checked 1 Oct 2026
As shown in the United States on 1 October 2026, published tuition range: $21,086 - $25,952. ISO currency is not spelled out. Tuition is charged per course/credit unit; general tuition is $1,622 per unit. Separate $250 one-time document fee and $150 pre-deadline drop fee may apply; not an all-inclusive total.
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Google Cloud
No accepted price
Google Cloud's Introduction to Generative AI Learning Path Specialization is a four-course program on Coursera. It introduces generative AI, large language models and responsible-AI principles, then considers how organizations can apply those principles. Learning includes interactive quizzes with immediate feedback. Coursera labels it Intermediate and says some related experience is required without naming a particular language or qualification. Completion earns a shareable Google Cloud career certificate. Consider it for conceptual foundations and organizational responsibility, rather than a sequence centered on building generative-AI applications.
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Facts checked 1 Oct 2026
As shown in the United States on 1 October 2026, the page lists Coursera Plus inclusion but no numeric access price is verified. No separately normalized program purchase price is established.
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DeepLearning.AI and Stanford Online
No accepted price
Machine Learning Specialization is a beginner-level, three-course program created by DeepLearning.AI and Stanford Online. It covers supervised learning, neural networks, decision trees, clustering, recommenders and reinforcement learning, using Python-based tools including NumPy, scikit-learn and TensorFlow. Learners should understand basic coding and high-school arithmetic and algebra. DeepLearning.AI Pro offers an assessment-based certificate route, while Coursera has separate payment and certificate conditions. This is not a no-code business overview. Check the selected platform's award requirements and Coursera certificate-eligibility window before paying.
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Facts checked 1 Oct 2026
Pro membership provides access and certificate route. Prices explicitly USD 30 per month billed monthly / USD 25 per month equivalent billed annually from program page. As shown in the United States on 1 October 2026. No fixed completion total or explicit regular/reference price is verified.
The Coursera route offers a shareable career certificate for LinkedIn, resume/CV and social media; publisher Pro award terms are separate.
Stanford Online
No accepted price
The AI in Healthcare Specialization by Stanford Online on Coursera is a beginner-level, 5-course program designed for healthcare providers and computer science professionals. Instructed by Matthew Lungren, Serena Yeung, and others, the curriculum explores how artificial intelligence can transform patient care and diagnoses safely and ethically. Students learn fundamental machine learning concepts, evaluate AI applications, and understand clinical data mining. The 5 courses cover the U.S. healthcare system, clinical data, machine learning fundamentals, AI evaluations, and a capstone project involving a unique dataset. The self-paced online program has a provider estimate of 4 weeks at 10 hours a week to complete. Earning the shareable career certificate requires completing all courses and the capstone project.
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Facts checked 1 Oct 2026
No specific total price is stated. The FAQ clarifies that the course cannot be taken for free to earn a certificate, noting financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
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DeepLearning.AI
No accepted price
The Mathematics for Machine Learning and Data Science Specialization by DeepLearning.AI on Coursera is described in the hero as intermediate level but in the description as a beginner-friendly program teaching the fundamental mathematics toolkit of machine learning. Instructed by Luis Serrano, the curriculum covers calculus, linear algebra, statistics, and probability. Students apply math concepts using Python programming in lab exercises, learning to represent data as vectors, perform gradient descent, and quantify uncertainty using common statistical methods. The self-paced online program has an estimate of 12 weeks at 5 hours a week. Earning the shareable career certificate requires paying for the courses and completing the programming assignments. Although described as a 3-course series, the FAQ ambiguously states completion of 4 courses is required for the full specialization certificate.
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Facts checked 1 Oct 2026
The FAQ states a Coursera subscription costs $49 / month. Financial aid is available. No specific total price is stated. No numeric course-completion total or ISO currency is established from the saved page.
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DeepLearning.AI, Amazon Web Services
No accepted price
The Generative AI with Large Language Models course by DeepLearning.AI and Amazon Web Services on Coursera is an intermediate-level program teaching the fundamentals and real-world deployment of generative artificial intelligence. The curriculum covers the transformer architecture, empirical scaling laws, and state-of-the-art training, tuning, and deployment methods. Students learn to optimize objective functions and adapt large language models to specific use cases. The self-paced online program has a provider estimate of 2 weeks at 10 hours a week to complete. Earning the shareable certificate requires course completion, with 3 assignments included in the curriculum. The program was reviewed in the United States on 1 October 2026.
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Facts checked 1 Oct 2026
No specific total price is stated. The FAQ describes starting with a free trial and purchasing the Certificate experience, and mentions financial aid, but no numeric course-completion total or ISO currency is established from the saved page.
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365 Data Science
No accepted price
365 Data Science's 'Machine Learning with Support Vector Machines' is an intermediate-level, online, self-paced course taught by Elitsa Kaloyanova. The provider lists a headline duration of 1 hour; the curriculum covers the theoretical foundations of hard and soft margin classification, and the intuition behind kernels. Students learn to implement and optimize a Support Vector Classifier using scikit-learn in Python on a dataset classifying mushrooms, applying cross-validation and hyperparameter tuning with GridSearchCV. Earning the provider-issued course certificate requires course completion and passing the course exam, with general terms specifying a 60 percent or higher passing grade. The provider lists 2 CPE credits; acceptance depends on individual state boards. Intermediate Python skills are required; basic statistics and linear algebra are helpful but not mandatory.
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Facts checked 1 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page Self-study card displays $36/month reference price and a $29/month price billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Machine Learning with Naïve Bayes' is an intermediate-level, online, self-paced course taught by Hristina Hristova. The provider lists a headline duration of 2 hours, including 1 hour of lessons and 30 minutes for practice exams. The curriculum introduces the Bayesian approach and Bayes' theorem before transitioning to a practical project using Python's scikit-learn library to build a spam comment detector for a YouTube dataset. Students learn to interpret performance metrics like accuracy, precision, recall, and F1 score. Earning the provider-issued course certificate requires course completion and passing the course exam with a 60 percent or higher grade. The provider lists 2 CPE credits; acceptance depends on individual state boards. Intermediate Python skills are required; basic statistics and linear algebra are recommended.
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Facts checked 1 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page Self-study card displays $36/month reference price and a $29/month price billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Machine Learning with K-Nearest Neighbors' is an intermediate-level, online, self-paced course taught by Hristina Hristova. The provider lists a headline duration of 2 hours, 1 lesson hour, and 25 minutes of practice exams; the curriculum covers the inner workings of the KNN algorithm, distance metrics, random dataset generation, and solving regression tasks. Students use Python's scikit-learn library to build models, visualize decision regions, and optimize parameters with grid search. Earning the provider-issued course certificate requires course completion and passing the course exam, with general terms specifying a 60 percent or higher passing grade. The provider lists 2 CPE credits; acceptance depends on individual state boards. Intermediate Python skills are required, and the formal prerequisites box lists Streamlit and an OpenAI API key.
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Facts checked 1 Oct 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page Self-study card displays $36/month reference price and a $29/month price billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
DeepLearning.AI
No accepted price
The TensorFlow: Data and Deployment Specialization by DeepLearning.AI on Coursera is an intermediate-level, four-course program teaching how to get machine learning models into the hands of real people across devices. Instructed by Laurence Moroney, the curriculum covers training and running models in browsers with TensorFlow.js and preparing models for mobile devices using TensorFlow Lite. Students also learn to build data pipelines with TensorFlow Data Services and explore advanced deployment scenarios with TensorFlow Serving, TensorFlow Hub, and TensorBoard. The self-paced online program has a provider estimate of four weeks at ten hours a week to complete. Earning the shareable career certificate requires completing all four courses and their applied learning projects.
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Facts checked 30 Sep 2026
No specific total price is stated. The FAQ describes subscription access; the paid completion route has no numeric amount in the captured page. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
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DeepLearning.AI
No accepted price
The TensorFlow: Advanced Techniques Specialization by DeepLearning.AI on Coursera is an intermediate-level, four-course program that expands upon foundational TensorFlow skills. Instructed by Laurence Moroney and Eddy Shyu, the curriculum covers building exotic non-sequential model types, custom loss functions, and layers using the Functional API. Students learn to optimize training with GradientTape and Autograph, apply advanced computer vision techniques like object detection and image segmentation, and explore generative deep learning through AutoEncoders, VAEs, and Generative Adversarial Networks. The fully online, self-paced program has a provider estimate of two months at ten hours a week to complete. Earning the shareable career certificate requires completing all four courses and hands-on applied learning projects.
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Facts checked 30 Sep 2026
No specific total price is stated. The FAQ describes subscription access; the paid completion route has no numeric amount in the captured page. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
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DeepLearning.AI
No accepted price
The AI for Medicine Specialization by DeepLearning.AI on Coursera is an intermediate-level, three-course program designed to give practical experience applying machine learning to concrete problems in modern medicine. Instructed by Eddy Shyu and others, the curriculum teaches how to diagnose diseases from x-rays and 3D MRI brain images using convolutional neural networks, estimate patient survival rates with tree-based models, and predict treatment effects using data from randomized trials. Students also learn to automate the task of labeling medical datasets using natural language processing. The self-paced online program has a provider estimate of two months at ten hours a week to complete. Earning the shareable career certificate requires completing all three courses and their applied learning projects.
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Facts checked 30 Sep 2026
No specific total price is stated. The FAQ describes subscription access; the paid completion route has no numeric amount in the captured page. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
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365 Data Science
No accepted price
365 Data Science's 'Speech Recognition with Python' is an intermediate-level, online, self-paced course taught by Ivan Manov. The provider lists three lesson hours; the curriculum explores voice-activated systems, audio processing, and machine learning methods. Learners use the librosa library to prepare sound data and implement speech-to-text tools using models like OpenAI's Whisper and Google's Web Speech API. Topics include analog-to-digital conversion, acoustics fundamentals, feature extraction, background noise management, and deep learning methods such as CNNs, RNNs, and Transformers. Earning the provider-issued course certificate requires course completion and passing the course exam, with general terms specifying a 60 percent or higher passing grade. The provider lists 7 CPE credits; acceptance depends on individual state boards. Prerequisites include basic Python programming and specific libraries; prior audio processing experience is not required.
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Facts checked 30 Sep 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page Self-study card displays $36/month reference price and a $29/month price billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Deep Learning with PyTorch' is an advanced-level, online, self-paced course instructed by Gaurav Sarkar. The provider lists two lesson hours; the curriculum takes learners from foundational concepts to hands-on neural network deployment. Students explore tensors, integrate PyTorch with NumPy, study GPU acceleration, and use PyTorch's autograd system for automatic differentiation. The course covers building data pipelines, implementing loss functions, training loops, and evaluation metrics for regression and classification tasks, culminating in Kaggle competition participation. Earning the provider-issued course certificate requires course completion and passing the course exam, with general terms specifying a 60 percent or higher passing grade. The provider lists 2.5 CPE credits; acceptance depends on individual state boards. Prerequisites include Python, PyTorch, and intermediate machine learning knowledge.
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Facts checked 30 Sep 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page Self-study card displays $36/month reference price and a $29/month price billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Convolutional Neural Networks with TensorFlow in Python' is an advanced-level, online, self-paced course taught by Nikola Pulev and Iskren Vankov. The provider lists a headline duration of four hours and five lesson hours; the curriculum covers image kernels, CNN motivation, feature maps, and pooling layers before applying these concepts to the MNIST dataset using TensorFlow. Students learn to optimize network performance with L2 regularization, dropout, and data augmentation, and track metrics using TensorBoard. A real-world project involves classifying fashion items. Earning the provider-issued course certificate requires course completion and passing the course exam, with general terms specifying a 60 percent or higher passing grade. The provider lists 6 CPE credits; acceptance depends on individual state boards. Intermediate Python and machine-learning knowledge are required; NumPy and neural-network fundamentals are recommended.
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Facts checked 30 Sep 2026
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page Self-study card displays $36/month reference price and a $29/month price billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's 'Machine Learning with Decision Trees and Random Forests' is an intermediate-level, online, self-paced course designed for data scientists and machine learning practitioners. Instructed by Nikola Pulev, the one-hour curriculum teaches learners to build and optimize predictive models using decision trees and random forests. Topics include theoretical foundations, Python programming, and practical applications like predicting income from census data. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The provider lists 3 CPE credits; acceptance depends on the relevant board. Prerequisites include intermediate Python skills, Python 3.8+, Streamlit, an OpenAI API key, and a code editor. Familiarity with basic statistics and linear algebra is helpful.
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Facts checked 29 Sep 2026
Price observation recorded 3 Oct 2026: US observation on 3 October 2026: platform Self-study displays $36/month reference price and $29/month billed annually; the FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
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365 Data Science
No accepted price
365 Data Science's 'Machine Learning in Python' is an intermediate-level, online, self-paced course that teaches predictive modeling and advanced statistical techniques. Instructed by Iliya Valchanov, the seven-hour curriculum builds upon statistical foundational knowledge, guiding learners through multidimensional spaces, transformations, distributions, linear regression, logistic regression, and K-means clustering using Python and the sklearn library. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The provider lists 11 CPE credits; acceptance depends on the relevant board. Intermediate Python programming skills and specific tools like a Pinecone account are required, while basic statistics and linear algebra knowledge is recommended.
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Facts checked 29 Sep 2026
Price observation recorded 3 Oct 2026: US observation on 3 October 2026: platform Self-study displays $36/month reference price and $29/month billed annually; the FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
We may earn a commission. It does not change our facts.
365 Data Science
No accepted price
365 Data Science's 'ChatGPT for Data Science' is an intermediate-level, online, self-paced course designed to boost productivity using ChatGPT Advanced Data Analysis. Instructed by Elitsa Kaloyanova, the two-hour curriculum teaches learners to integrate ChatGPT with Python to solve real-life data science problems. Topics include data preprocessing, exploratory data analysis, regular expressions, building a recommendation engine, and training a Naïve Bayes model for sentiment analysis. The course also addresses AI ethics and bias detection. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The provider lists 2.5 CPE credits; acceptance depends on the relevant board. Access to ChatGPT is required, and foundational machine learning knowledge is helpful but not mandatory.
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Facts checked 29 Sep 2026
Price observation recorded 3 Oct 2026: US observation on 3 October 2026: platform Self-study displays $36/month reference price and $29/month billed annually; the FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
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UC Berkeley Executive Education
USD 28000 Checked
Eight-month blended executive program combining online learning and UC Berkeley campus activity. It covers digital innovation, strategic AI growth, enterprise transformation and emerging technologies, with two required short courses and a core strategy project. The displayed session costs USD 28,000. It is aimed at senior enterprise leaders; its blended format includes required in-person participation. Language, credential shareability and renewal terms are not stated. The listed session runs October 1, 2026–June 21, 2027.
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DataCamp
USD 35/month Checked
DataCamp offers the Time Series in Python track, a beginner-level program for data scientists, data engineers, data analysts, and software developers seeking time-series experience. The curriculum has a provider-listed duration of approximately 20 hours. There are no prerequisites. The program consists of five courses and one bonus project, teaching learners to manipulate time-series data using pandas, analyze it with NumPy and statsmodels, and forecast using ARIMA and machine-learning models. Access requires a Premium subscription, which at the regular price checked on 8 September 2026 costs USD 35 for one month; this reflects the monthly rate and not a guaranteed total cost to finish. Graduates earn a Statement of Accomplishment.
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DataCamp
USD 35/month Checked
DataCamp offers the Supervised Machine Learning in R track, a beginner-level program with 25 listed hours focused on teaching predictive modeling and evaluation using the Tidyverse ecosystem. The curriculum consists of six courses, covering topics such as multiple and logistic regression, tree-based models, support vector machines, and hyperparameter tuning, alongside one bonus project assessing medical treatments. Upon finishing the courses, learners receive a Statement of Accomplishment. DataCamp lists no prerequisites for this track. Access to the program requires a Premium subscription, which costs USD 35 per month at the regular price checked on 8 September 2026. This subscription fee provides one month of access and does not represent a guaranteed total cost for completion.
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DataCamp
USD 35/month Checked
DataCamp offers the Supervised Machine Learning in Python track, a beginner-level program with 25 provider-listed hours. Access requires a Premium subscription, priced at USD 35 per month regular, checked 8 September 2026, which represents one month of access and not a guaranteed total completion cost. The curriculum consists of six courses covering prediction using labeled data, including linear and logistic regression, Support Vector Machines, and tree-based models in scikit-learn, as well as Extreme Gradient Boosting with XGBoost, hyperparameter tuning, and ensemble learning. The track also includes two separate bonus projects. There are no prerequisites for this track. Upon finishing the modules, learners receive a Statement of Accomplishment from DataCamp.
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DataCamp
USD 35/month Checked
DataCamp offers the OpenAI Fundamentals skill track, a beginner-level program designed for building artificial intelligence systems using OpenAI frontier models. With 15 provider-listed hours, the curriculum consists of five primary courses and two separate bonus items. Topics include working with the OpenAI API, multi-modal systems, prompt engineering, the OpenAI Responses API, and embeddings. The track requires no prior experience with artificial intelligence or Python. Access is provided through the DataCamp Premium subscription, priced at USD 35 per month at the regular price checked on 8 September 2026. This subscription provides one month of access and does not guarantee total completion cost. Upon completion, learners receive a Statement of Accomplishment.
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DataCamp
USD 35/month Checked
The DataCamp MLOps Fundamentals track is a conceptual program with 14 listed hours consisting of four courses focused on productionizing and monitoring machine learning models. The curriculum covers MLOps concepts, developing models for production, deployment and life cycling, and fully automated MLOps architectures. Access requires a DataCamp Premium subscription, priced at USD 35 per month at the regular price checked on 8 September 2026. The track does not teach a specific programming language, focusing instead on theoretical frameworks such as continuous integration, continuous deployment, and model registries. Throughout the track, learners study the complete lifecycle of a machine learning application. Upon finishing the four modules, learners receive a DataCamp Statement of Accomplishment.
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DataCamp
USD 35/month Checked
The Machine Learning Scientist in R track by DataCamp is a self-paced track with 65 listed hours and sixteen courses. Learners access the curriculum through a Premium subscription, priced at USD 35 per month at the regular price checked on 8 September 2026. The program focuses on applying R programming to supervised and unsupervised machine learning workflows. Participants receive a Statement of Accomplishment upon completion. The curriculum covers classification, regression, feature engineering, clustering, dimensionality reduction, and Bayesian data analysis using tidymodels and other R packages. The provider includes two bonus items: a skill assessment and a project on predicting movie rental durations. The stated subscription price represents one month of access and does not guarantee a total completion cost.
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DataCamp
USD 35/month Checked
The Machine Learning in Production in Python skill track is offered by DataCamp for aspiring data scientists and machine learning engineers. Access to this program requires a Premium subscription, which is priced at USD 35 per month at the regular price checked on 8 September 2026. The track consists of five courses and one bonus project, with a provider-listed duration of nineteen hours. The curriculum covers MLOps concepts, MLflow, machine learning monitoring, and data versioning using Data Version Control. The listed sequence starts with MLOps Concepts and ends with Introduction to Data Versioning with DVC. The provider states there are no prerequisites for this track. Upon finishing the five courses, learners earn a Statement of Accomplishment.
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DataCamp
USD 35/month Checked
Machine Learning Fundamentals in R is a beginner-level educational track offered by DataCamp. The curriculum has 24 provider-listed hours, consisting of six specific courses covering classification, regression, unsupervised learning, and R packages like caret and tidymodels. The program also features one bonus project and a bonus skill assessment. Access requires a Premium subscription, priced at USD 35 per month regular as of September 8, 2026, which is an access price rather than a guaranteed completion cost. Upon finishing the six core courses, learners receive a Statement of Accomplishment. The provider states there are no prerequisites. This track is designed for individuals seeking introductory knowledge for roles such as data scientist or artificial intelligence specialist.
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DataCamp
USD 35/month Checked
The DataCamp Keras Fundamentals track is a beginner-level track designed for software engineers, data scientists, researchers, and developers seeking deep-learning skills. With 16 provider-listed hours, the curriculum consists of four courses and one bonus project. Learners explore deep learning, image modeling, and recurrent neural networks using Python. There are no prerequisites required to begin. DataCamp provides access to this track through a Premium monthly subscription, priced at USD 35 at the regular price checked on 8 September 2026, which represents one month of access rather than a guaranteed total completion cost. Upon finishing the track, learners receive a Statement of Accomplishment that can be shared on professional networks and resumes.
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DataCamp
USD 35/month Checked
Image Processing in Python is a beginner-level track offered by DataCamp that has 12 provider-listed hours. The curriculum covers image pre-processing, restoration, and deep learning using Python. Learners progress through three courses: Image Processing in Python, Biomedical Image Analysis in Python, and Image Modeling with Keras. There are no prerequisites for enrollment. DataCamp issues a Statement of Accomplishment upon finishing the track, which serves as a completion record rather than a formal certification. Access requires a monthly Premium subscription, priced at USD 35 at the regular price checked on 8 September 2026. This price reflects one month of access, not a guaranteed total cost to finish the entire learning path. The program includes one bonus project about object detection.
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DataCamp
USD 35/month Checked
The Hugging Face Fundamentals track by DataCamp is a track with twelve provider-listed hours covering open-source artificial intelligence models. The curriculum consists of four courses, starting with the Hugging Face Hub and transformers library before progressing to large language models in Python. Learners study multi-modal models for text, image, audio, and video generation, and conclude by building AI agents with the smolagents framework. A separate bonus project on food image classification is also included. The track requires no prerequisites and is accessible through a DataCamp Premium subscription for USD 35 per month regular. Upon finishing the four courses, participants earn a Statement of Accomplishment. The access price is not a guaranteed completion cost.
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DataCamp
USD 35/month Checked
DataCamp provides an online, self-paced learning track titled Natural Language Processing in Python. Designed for beginners with no stated prerequisites, the program lists 20 hours of content. The curriculum consists of five courses covering text analysis, sentiment analysis, spaCy, spoken language processing, and feature engineering, plus one bonus project. Learners use Python libraries like NLTK, scikit-learn, spaCy, and SpeechRecognition to extract insights from unstructured data, including text and audio. Access requires a DataCamp Premium subscription, available for USD 35 per month regular. Because this fee is for monthly access, the total amount depends on the subscription route and billing periods selected. Upon finishing, participants receive a Statement of Accomplishment.
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DataCamp
USD 35/month Checked
The Machine Learning Scientist in Python track by DataCamp is an online program with 85 listed hours covering supervised, unsupervised, and deep learning. Designed for aspiring machine learning scientists, it introduces Python programming concepts using real-world datasets. The curriculum features 21 interactive courses covering topics like scikit-learn, XGBoost, natural language processing with spaCy, and deep learning with PyTorch. Learners explore feature engineering, time series data, and encounter three bonus projects and one bonus skill assessment. DataCamp states there are no prerequisites, making it suitable for beginners. Access requires a Premium subscription at USD 35 per month regular, which is not a guaranteed total completion cost. Upon finishing the 21 courses, learners earn a Statement of Accomplishment.
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DataCamp
USD 35/month Checked
DataCamp provides the Machine Learning Fundamentals in Python learning track as an online, self-paced program. The curriculum consists of four courses, beginning with supervised learning using the scikit-learn library and progressing through unsupervised learning techniques. You subsequently study deep learning with PyTorch, which involves constructing a neural network from scratch, and conclude with reinforcement learning utilizing the Gymnasium library. In addition to the four courses, the track incorporates three bonus projects and one bonus skill assessment. Access requires a Premium subscription, which is priced at USD 35 for a regular one-month period. This beginner track lists no prerequisites and focuses on Python rather than R. Upon completing the track, you earn a Statement of Accomplishment from DataCamp.
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DataCamp
USD 35/month Checked
DataCamp offers the Machine Learning Engineer track, an online program designed to prepare aspiring professionals for junior roles in deployment, operations, monitoring, and maintenance. Through interactive courses, you learn to design, train, and deploy end-to-end models using technologies like Python, Docker, and MLflow. The curriculum covers MLOps concepts, CI/CD pipelines, data quality, and model monitoring to address data and concept drift. Access requires a Premium subscription, available for USD 35 per month regular, which provides access to the learning materials but does not guarantee a total completion cost. Upon finishing the program, you earn a Statement of Accomplishment. Prior knowledge of data manipulation and machine learning model training and evaluation using Python is expected.
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DataCamp
USD 35/month Checked
The "Developing Large Language Models" track by DataCamp is a self-paced online program focused on deep learning and natural language processing using Python, PyTorch, and Hugging Face. The curriculum comprises seven courses and two bonus projects, covering introductory concepts through to advanced applications like Llama 3 integration, transformer architectures, and reinforcement learning from human feedback. DataCamp lists 19 hours of content. Access to the full learning track is available through a DataCamp Premium subscription, which costs USD 35 per month regular. The prerequisites panel states no prerequisites. Upon completing the track, participants receive a Statement of Accomplishment, which they can add to their resume or social media profiles.
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DataCamp
USD 35/month Checked
DataCamp’s Developing Applications with LangChain is an online, self-paced learning track focused on building large language model applications using Python. The program consists of three courses covering core application development, Retrieval Augmented Generation, and the design of agentic systems, alongside a bonus project on building chatbots for technical documentation. The provider estimates the track requires approximately nine hours to complete, and there are no stated prerequisites to enroll. Access requires a DataCamp Premium subscription, which costs USD 35 for one month of regular access; this covers access, not guaranteed completion. The track suits Python-focused development rather than other programming languages. Upon finishing the track, learners receive a Statement of Accomplishment that can be shared on professional profiles.
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DataCamp
USD 35/month Checked
Developing AI Applications is a 21-hour, self-paced online learning track offered by DataCamp. It is designed to teach learners how to create artificial intelligence systems and applications using current developer tools. The curriculum consists of eight courses and two bonus projects, covering topics such as prompt engineering, large language models, AI ethics, and data privacy. Throughout the track, you will work with the OpenAI API, Hugging Face, and LangChain to build chatbots, text analysis tools, and recommendation engines. Access requires a DataCamp Premium subscription, which costs USD 35 per month, covering access rather than guaranteed completion. The track has no prerequisites. Track completion earns a Statement of Accomplishment. This route suits Python application practice rather than an exam-certification goal.
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DataCamp
USD 35/month Checked
The Deep Learning in Python track by DataCamp is an eighteen-hour online, self-paced learning program designed for beginners who are already familiar with traditional machine learning. Accessible through a DataCamp Premium subscription starting at USD 35 per month, the curriculum teaches students how to build and train neural networks using the PyTorch framework. The track consists of five courses and one bonus project, covering topics such as image classification, time series prediction, natural language processing, and the Transformers architecture. Upon finishing the required materials, learners receive a Statement of Accomplishment that can be shared on professional profiles. This monthly subscription grants platform access rather than representing a fixed, guaranteed total cost to complete the program.
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DataCamp
USD 35/month Checked
ChatGPT Fundamentals is a self-paced online learning track with three listed hours offered by DataCamp. Designed to introduce the basics of ChatGPT and prompt engineering, the program consists of three specific courses: Understanding ChatGPT, Understanding Prompt Engineering, and Intermediate ChatGPT. Learners access the content through a DataCamp Premium subscription, which costs USD 35 for one month of regular access. There are no prerequisites required to begin this foundational track. Throughout the curriculum, participants explore ChatGPT's architecture, learn prompt crafting techniques, and engage with bonus resources covering custom models and advanced data analysis. Upon finishing the three courses, students receive a Statement of Accomplishment from DataCamp, which can be shared on professional networks and resumes.
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DataCamp
USD 35/month Checked
AI Fundamentals is a DataCamp learning track focused on AI concepts and their use at work. DataCamp estimates nine hours and states that no prerequisites or coding experience are needed. The visible course list covers AI for work, machine learning, large language models, generative AI, and ethics. The description includes interaction with AI applications and practice in collaboration and prompting. Completing the track provides a Statement of Accomplishment that can be shared on a professional profile. A separately advertised certification is not the same as track completion. Consider this track for conceptual understanding; it is not the right choice if you specifically need programming practice or an independently earned certification.
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DataCamp
USD 35/month Checked
DataCamp's Associate AI Engineer for Developers track focuses on adding AI capabilities to software through APIs and open-source libraries. The listed curriculum covers the OpenAI API, prompting, Hugging Face, embeddings, Pinecone, LangChain, software engineering in Python, LLMOps, and Model Context Protocol. DataCamp lists 29 hours, ten courses, and two bonus projects. The formal prerequisites section states that there are no prerequisites, although the content involves Python and application development. Completing the track earns a shareable Statement of Accomplishment. The page also presents the track as preparation for a separate certification; completing the learning track should not be described as automatically earning that certification. Compare the listed tools with the applications you want to build.
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DataCamp
USD 35/month Checked
AI Business Fundamentals is a 10-hour online self-paced learning track offered by DataCamp. The program consists of six courses focusing on the integration of artificial intelligence into professional environments. Learners explore topics such as generative AI, large language models, AI ethics, and the development of scalable AI strategies. The curriculum focuses on theory and business implementation, rather than coding. It is intended for professionals with prior AI knowledge. Access to the full track requires a DataCamp Premium subscription, which costs USD 35 per month, covering access rather than a guaranteed total cost to finish. Upon finishing all six courses, learners earn a Statement of Accomplishment that can be shared on professional profiles.
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DataCamp
USD 35/month Checked
DataCamp AI Agent Fundamentals is a self-paced online skill track consisting of three courses. The program covers the foundational concepts of AI agents, their practical frameworks like the Thought-Action-Observation loop, and their real-world applications. Learners explore components necessary for building scalable agentic systems, including the Model Context Protocol and Agent-to-Agent protocol. The track is estimated by the provider to take six hours to complete. Access requires a DataCamp Premium subscription, which is priced at USD 35 for a regular one-month period. This covers access, not guaranteed completion. The theory track suits conceptual learning rather than coding practice. There are no prerequisites. Upon finishing the three courses, learners earn a Statement of Accomplishment issued by DataCamp.
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Amazon Web Services
USD 100 Checked
A foundational AWS certification for people who use or discuss AI and machine-learning solutions in an AWS context. The exam covers AI/ML concepts, generative AI, foundation-model applications, responsible AI, and related security and governance topics. It does not by itself verify production engineering ability.
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Google Skills
No accepted price
Introduction to Generative AI is a 45-minute introductory microlearning course on Google Skills. It explains generative AI, its uses, and how it differs from traditional machine learning, and covers Google tools for developing generative AI apps. The page advertises a badge. Consider it for an initial overview, not for in-depth engineering training or evidence of production implementation skills.
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DataCamp
USD 35/month Checked
DataCamp's Associate AI Engineer for Data Scientists track covers model development, evaluation, and deployment practices. Its curriculum includes supervised and unsupervised learning, PyTorch, explainable AI, responsible data management, LLMs, Llama 3, MLOps, Git, and Python testing. DataCamp lists 40 hours, thirteen courses, and two bonus projects. Track completion earns a shareable Statement of Accomplishment; the separately advertised certification is not automatically earned through that completion. The technical sequence is most relevant when you want to extend model-building work toward application and deployment concerns.
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Databricks
USD 200 Checked
Databricks Certified Generative AI Engineer Associate assesses the design and implementation of LLM-enabled solutions using Databricks. Its blueprint covers application design, data preparation, development, deployment, governance, evaluation and monitoring. The provider recommends related training and at least six months of relevant practical experience, while listing no formal prerequisites. The proctored exam has 45 scored multiple-choice questions and a 90-minute sitting time; additional unscored content may appear. Its advertised registration fee is USD 200, normalized from the official US page's dollar display. The credential lasts two years and requires the current exam for recertification. It is not a substitute for learning the implementation tasks or a general, vendor-neutral course.
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365 Data Science
No accepted price
365 Data Science's AI engineer career track is an online, beginner-oriented sequence of ten courses with 32 hours of listed content. It starts with AI and Python foundations, then moves through data preprocessing, natural language processing, LLMs, vector databases, and application development. Named tools include LangChain, Pinecone, Streamlit, and OpenAI. The curriculum also includes speech recognition and using ChatGPT for data-science work. The provider describes practical projects and states that passing a final exam earns its AI engineer certification. That exam condition matters: consuming the learning content alone is not the stated award requirement. Treat the career language as the provider's positioning, not a guaranteed job outcome, and check enrollment terms separately from the content-hour estimate.
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INSEAD
No accepted price
A fully online INSEAD executive programme with five content weeks, an Action Learning Project and peer review. Standard tuition is EUR 2,100. An optional EUR 690 Premium upgrade adds support and extends content access from six to nine months; that access period is not credential expiry. The curriculum covers AI strategy, governance, generative AI, RAG, guardrails, agents, fairness, privacy and organisation design. The certificate requires activities, minimum points, the final project and a satisfactory peer-reviewed grade. Credential expiry is not stated.
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INSEAD
No accepted price
A five-day, in-person INSEAD executive programme on non-technical AI strategy, business applications, organisation design and working with AI experts. Tuition is session-specific: EUR 11,600 for the listed Fontainebleau sessions and SGD 16,600 for the listed Singapore session. The September 2026 Fontainebleau session is waitlisted. A 2025 promotional rate is stale and excluded. The programme contributes five eligible days toward a separate INSEAD Certificate in Global Management; the individual programme certificate title, assessment threshold, expiry and shareability are not fully stated.
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Important: Prices, availability, and curricula can change. Confirm all details on the provider’s official page before purchasing or enrolling.
Evaluating a broader learning platform? Read our source-checked 365 Data Science provider overview; it is an overview, not a ranked or recommended directory listing.
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