LangGraph – Stateful Workflows & AI Agents (Handwritten Notes)

What you will learn

• ✓Understand LangGraph fundamentals, graph architecture and execution flow.
• ✓Learn state, nodes, edges, reducers and state schemas.
• ✓Build workflows using StateGraph, START, END and graph compilation.
• ✓Implement conditional routing, commands and dynamic task dispatch.
• ✓Create cyclic workflows, agent loops and ReAct patterns.
• ✓Integrate tools, function calling and external APIs.
• ✓Manage persistence, checkpointing, thread IDs and memory.
• ✓Implement Human-in-the-Loop workflows and execution interrupts.
• ✓Understand multi-agent systems, supervisors, networks and subgraphs.
• ✓Implement streaming, runtime context and execution updates.
• ✓Build advanced RAG workflows, query rewriting and document grading.
• ✓Apply planning, adaptive routing and map-reduce patterns.
• ✓Handle errors, retries, idempotency and checkpoint recovery.
• ✓Implement testing, evaluation, security and observability.
• ✓Design reliable and scalable production LangGraph applications.