Foundations
LLMs (Large Language Models) as the agent engine, the ReAct (Reasoning and Acting) loop, native tool calling.
AI Agent Bootcamp
Eleven lessons on building LLM agents — read, then quiz yourself.
How this works
Section titled “How this works”Read the lesson, take its quiz (instant feedback plus a short explanation), then hit Complete & Continue to advance. Your progress is saved in this browser and shown in the sidebar.
Context & Knowledge
Prompting & context engineering, memory, RAG (Retrieval-Augmented Generation).
Architectures & Coordination
Planning architectures and multi-agent systems.
Production & Tooling
Evaluation, production concerns, frameworks & MCP (Model Context Protocol).