Course catalog
51 courses. Start with a search or pick a filter.
AI Agents & Tool Use
Complete course on building AI agents: from basic tool use via Claude and OpenAI to complex multi-agent systems. Covers function calling, MCP protocol, agent frameworks (LangChain, AutoGen, CrewAI), memory patterns, planning, human-in-the-loop, and production agent deployment.
AI Agents fundamentals
An introduction to AI agents: tool use, planning, retry, quality evaluation, and where they break.
AI Agents: From Architecture to Production
A practical course on multi-agent AI systems based on Microsoft's AI Agents for Beginners curriculum. Covers the agent loop, tool calling, memory patterns, orchestrator–worker architecture, MCP and A2A protocols, agent evaluation, guardrails, and production deployment with observability.
AI Basics: How LLMs Work
A foundational course on how large language models are built, what they're good at, and where they break. No formulas, but with engineering precision.