Learn AI. Know where to start.

Anthropic's core framework for using AI systems effectively, critically, responsibly and confidently — the foundation the rest of Anthropic's Academy builds on.

A practical introduction to Claude — effective prompting, Projects, Artifacts, document analysis and everyday productivity workflows.

Using Claude Code inside real development workflows — code generation, planning, debugging, testing, refactoring and codebase exploration.

Applying AI fluency specifically to small-business operations — practical, non-technical, and directly relevant to owner-operators and small teams.

AI fluency principles applied to building — for developers and technical builders starting to work AI into their own products and workflows.

Hands-on development with the Claude API — from first requests through to production patterns.

A short, practical first look at Claude Code — the natural first step before Claude Code in Action.

What MCP is, why it exists, and how it lets AI applications connect to external tools and data sources.

OpenAI Academy course on AI fundamentals, effective prompting and responsible everyday use of ChatGPT.

OpenAI Academy course on using ChatGPT for workplace productivity, writing and everyday tasks.

OpenAI Academy course on building with OpenAI models, the API, agents and structured workflows.

Foundational AI concepts, prompting techniques, responsible AI principles and practical productivity uses of generative AI — no coding required. Coursera access is a paid subscription after a free trial, not a free course.

A concise introduction to generative AI, foundation models, large language models and Google's generative AI tools.

A structured Google Skills path covering generative AI fundamentals, prompt design, large language models and responsible AI.

A Microsoft learning portal that surfaces AI learning resources based on your role, experience and goals — a starting point for browsing, not a single course.

An open-source curriculum covering large language models, prompt engineering, retrieval-augmented generation, AI agents and responsible AI.

Free Microsoft Learn training on AI, machine learning, computer vision and NLP fundamentals on Azure. Distinct from the paid AI-901 certification exam (formerly AI-900) — this free training helps prepare for it but does not itself award the credential.

NVIDIA's collection of free learning resources on generative AI, accelerated computing, robotics and deep learning — a browsing starting point, not one course.

The foundations of generative AI — foundation models, transformers, diffusion models, common applications and limitations.

Neural network fundamentals, model training, optimisation and practical deep learning workflows via NVIDIA's Deep Learning Institute. Available as both a self-paced course and an instructor-led workshop — pricing varies by format.

A free, self-paced IBM SkillsBuild learning plan covering AI, machine learning, deep learning and generative AI fundamentals, with practical applications across industries.

Generative AI, foundation models, prompt engineering and common business applications, limitations and responsible AI practices.

A multi-course professional certificate covering Python, machine learning, deep learning, TensorFlow, PyTorch and large language models — for AI engineers and technical professionals, not a short introductory course.

Building AI agents with AWS's open-source Strands Agents SDK — from the agent loop and tool calling through to multi-agent orchestration.

A hands-on lab series on building, deploying and securing agentic AI applications with Amazon Bedrock.