AI Agent Foundation
LangChain
LangGraph
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
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Module 1 · Getting Started
Module 1
Getting Started with LangGraph
6 core topics · each includes a notebook code page and an in-depth explanation
1
Simple Graph
Build your first StateGraph
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1-1-simple-graph.html
Converted Jupyter Notebook page
Notebook
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Simple Graph In-Depth Explanation
Concepts, principles, and code notes
Explained
2
Chain
Chained node calls
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1-2-chain.html
Converted Jupyter Notebook page
Notebook
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Chain In-Depth Explanation
Concepts, principles, and code notes
Explained
3
Router
Conditional edges and routing logic
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1-3-router.html
Converted Jupyter Notebook page
Notebook
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Router In-Depth Explanation
Concepts, principles, and code notes
Explained
4
Agent
Tool calling and the ReAct loop
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1-4-agent.html
Converted Jupyter Notebook page
Notebook
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Agent In-Depth Explanation
Concepts, principles, and code notes
Explained
5
Agent Memory
Persistent state and memory management
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1-5-agent-memory.html
Converted Jupyter Notebook page
Notebook
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Agent Memory In-Depth Explanation
Concepts, principles, and code notes
Explained
6
Deployment
LangGraph Studio deployment
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1-6-deployment.html
Converted Jupyter Notebook page
Notebook
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Deployment In-Depth Explanation
Concepts, principles, and code notes
Explained
∑
Module 1 Summary
Getting started with LangGraph · overview and knowledge map for 6 lessons
📋
Module 1 Summary Page
Learning path · core concept quick reference · end-to-end practice example (travel assistant)
Summary