datarekha
Section 5 chapters · 20 lessons

Agentic AI

The patterns (reflection, tool use, planning, multi-agent) and the frameworks (LangChain, LangGraph, MAF, ADK) for building agents that actually work in production.

  1. 01

    Foundations

    5 lessons
  2. 01 What agentic AI means Beginner 5 min
  3. 02 Agentic design patterns Intermediate 8 min
  4. 03 Reflection Intermediate 6 min
  5. 04 Tools — defining, calling, validating Intermediate 7 min
  6. 05 Model Context Protocol (MCP) Intermediate 6 min
  7. 02

    LangChain

    3 lessons
  8. 06 Models, prompts, parsers Beginner 6 min
  9. 07 Chains & LCEL Intermediate 8 min
  10. 08 RAG with LangChain Intermediate 8 min
  11. 03

    LangGraph

    4 lessons
  12. 09 Build agents from scratch Intermediate 9 min
  13. 10 Nodes, edges, state Intermediate 7 min
  14. 11 Persistence & streaming Advanced 7 min
  15. 12 Human-in-the-loop Advanced 6 min
  16. 04

    Microsoft Agent Framework

    4 lessons
  17. 13 MAF overview & first agent Intermediate 7 min
  18. 14 Adding tools Intermediate 6 min
  19. 15 Workflows Advanced 8 min
  20. 16 Middleware & guardrails Advanced 7 min
  21. 05

    Google ADK

    4 lessons
  22. 17 Install & first agent Intermediate 6 min
  23. 18 Multi-tool agent Intermediate 7 min
  24. 19 Workflow patterns Advanced 7 min
  25. 20 Deployment Advanced 6 min
Skip to content