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 (financial aid is available), 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.

Part one of a two-course IBM SkillsBuild series, hosted on Cisco Networking Academy: core AI concepts including machine learning, neural networks, deep learning and generative AI, plus prompt writing, critical thinking and bias detection. No prior experience needed.

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.

A Google Cloud learning path for business leaders on what generative AI can do for an organisation, using Gemini and Google AI Studio. It prepares you for the separate Google Cloud Generative AI Leader certification exam, which is not part of the path itself.

A self-paced Kaggle learning guide built with Google, covering foundational models and prompt engineering, embeddings and vector databases, AI agents, domain-specific LLMs and MLOps for generative AI. Hands-on codelabs need a Kaggle account.

A Microsoft Learn course for K-12 educators and school leaders on using Microsoft's free AI tools, including Copilot, to plan lessons, give feedback and save time.

A free Oracle University learning path on designing AI agents with LangChain and the OpenAI Agent Stack, Model Context Protocol concepts and the OCI Enterprise AI Platform, with a free certification exam. Assumes basic LLM concepts, Python and Oracle Cloud Infrastructure familiarity.

A free, ad-free course on large language models and NLP using the Hugging Face ecosystem: Transformers, Datasets, Tokenizers and Accelerate. Best suited to people who already code in Python.

A free course taking you from beginner to expert in understanding, using and building AI agents with libraries such as smolagents, LlamaIndex and LangGraph, with a certificate of completion for finishing the assignments.

A free online introduction to AI for non-experts, created by MinnaLearn and the University of Helsinki: what AI is, what it can and cannot do, and how it affects our lives, with no complicated maths or programming required. A follow-on course, Building AI, is also free.