Learn

generative-ai-for-beginners

MIT

Microsoft's 21-lesson course teaching the fundamentals of building generative-AI applications, from prompting to building agents.

ai-agent-book

Apache-2.0

A complete open-source book on agent engineering — 'Understanding AI Agents in Depth: Design Principles and Engineering Practice' by Li Bojie — publishing the full text, compiled PDF, and per-chapter companion code.

AI Agents for Beginners

MIT

Microsoft's 18-lesson course on building AI agents, each lesson pairing a written explanation with runnable notebooks — covering agentic design patterns, tool use, planning, multi-agent systems, and production concerns.

learn-claude-code

MIT

A from-scratch tutorial that builds a nano Claude Code-style agent harness — 'Bash is all you need' — teaching the agent loop by implementing one.

Hugging Face Agents Course

Apache-2.0

Hugging Face's free course on agents, running from first principles through building and evaluating your own — with hands-on units, a certification track, and coverage of several frameworks rather than one vendor's.

GenAI Agents

Other (see repo)

A large collection of agent tutorials, each a self-contained notebook implementing one technique — from a basic conversational agent up through multi-agent orchestration, memory, and evaluation.

Anthropic Courses

Other (see repo)

Anthropic's own teaching material as runnable notebooks — prompt engineering, tool use, retrieval, and evaluation — written against the Claude API but largely transferable to other models.

Agents Towards Production

Other (see repo)

Code-first tutorials on the parts of agent work that come after the demo: deployment, observability, evaluation, cost control, and security — organised as independent chapters you can take in any order.