Learning

Learning materials on AI agents: mini-courses (a series of short lessons), step-by-step guides, and practical assignments. Theory lives in the Wiki section — book notes, here — routes and practice.

Courses

• 🎓 “Agent from Scratch” — theory with block diagrams and code, the result — your own CLI agent: [00. About the course], [Lesson 1. Agent Formula], [Lesson 2. ReAct Loop], [Lesson 3. Harness and Guardrails], [Lesson 4. Tools], [Lesson 5. Assembling the CLI Agent]

Guides

In preparation: “RAG from Scratch” (agent memory), “MCP: the first standard tool”, “Evaluation: LLM-as-a-Judge”.

Practical Assignments

Assignments are built into each lesson of the course; separate collections will appear with the guides.

How to stay updated

Announcements — in the Telegram channel (✈ in the sidebar); release plan — in the content plan of the section (working document, does not go to the site).

Related: [Agent = LLM + Context + Tools], [Glossary]