AI EngineerIntermediate7 modules~3.5 hours hands-on3 learning modes
Introduction to LangGraph
Build production-ready AI agents and multi-agent systems using LangGraph, from your first graph node to deployed, memory-equipped workflows.
// What you'll be able to do- Graphs, nodes, edges, and your first agent
- TypedDicts, reducers, and managing conversation history
- Breakpoints, state editing, streaming, and time travel
- Parallelization, sub-graphs, and map-reduce workflows
7 modules, built to run
Every module ships runnable code. Expand any one to see what's inside.
00IntroductionWhat we're building and why30 min
Objective — What we're building and why
Start moduleFree preview
01LangGraph FundamentalsGraphs, nodes, edges, and your first agent30 min
Objective — Graphs, nodes, edges, and your first agent
02State & MemoryTypedDicts, reducers, and managing conversation history30 min
Objective — TypedDicts, reducers, and managing conversation history
03Human-in-the-LoopBreakpoints, state editing, streaming, and time travel30 min
Objective — Breakpoints, state editing, streaming, and time travel
04Advanced PatternsParallelization, sub-graphs, and map-reduce workflows30 min
Objective — Parallelization, sub-graphs, and map-reduce workflows
05Long-Term MemoryMemory stores, Trustcall, and persistent schemas30 min
Objective — Memory stores, Trustcall, and persistent schemas
06Pattern SynthesisDeploying and operating your full LangGraph system30 min
Objective — Deploying and operating your full LangGraph system
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