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LangGraph Course

Learn LangGraph for Real Agent Workflows

Learn LangGraph through a course-style tutorial that covers graph fundamentals, state design, routing, tools, persistence, interrupts, observability, multi-agent systems, and production deployment.

18Topics
50+Examples
FreeAlways

About LangGraph

Learn LangGraph through a course-style tutorial that covers graph fundamentals, state design, routing, tools, persistence, interrupts, observability, multi-agent systems, and production deployment.

Prerequisites

Comfort with Python functions, typing, dictionaries, model calls, and tool-calling concepts will help you move quickly.

Who This Is For

Developers building stateful agents, durable workflows, approval systems, research loops, and multi-agent applications.

What You Will Learn

Graph and Functional APIs, state, reducers, routing, tools, tasks, subgraphs, persistence, interrupts, streaming, debugging, and deployment.

Tools Needed

Python 3.11 or newer, a virtual environment, LangGraph, and optional model, checkpoint, and LangSmith integrations.

LangGraph Learning Path

Model durable agent workflows with explicit state, routing, persistence, interrupts, retries, and observable recovery.

  • Python
  • LangChain or tool-calling basics
  • state-machine concepts
  1. Define state, nodes, edges, reducers, and routing
  2. Add tools, persistence, interrupts, and subgraphs
  3. Test replay, recovery, concurrency, evaluation, and deployment

Approval-Based Incident Workflow

Build an incident workflow that gathers evidence, proposes actions, pauses for approval, resumes durably, and records every transition.

Open the complete project guide

Tutorial Topics

Follow the lessons in order, or jump straight into the topic you need.

1. Roadmap
Lesson
Open this lesson in the LangGraph tutorial path.
2. Foundations
Lesson
Open this lesson in the LangGraph tutorial path.
3. Installation and Setup
Lesson
Open this lesson in the LangGraph tutorial path.
4. State, Nodes, and Edges
Lesson
Open this lesson in the LangGraph tutorial path.
5. Reducers and State Updates
Lesson
Open this lesson in the LangGraph tutorial path.
6. Conditional Workflows
Lesson
Open this lesson in the LangGraph tutorial path.
7. Functional API and Subgraphs
Lesson
Open this lesson in the LangGraph tutorial path.
8. Tool Calling Agents
Lesson
Open this lesson in the LangGraph tutorial path.
9. Memory and Checkpoints
Lesson
Open this lesson in the LangGraph tutorial path.
10. Human in the Loop
Lesson
Open this lesson in the LangGraph tutorial path.
11. Streaming and Events
Lesson
Open this lesson in the LangGraph tutorial path.
12. Errors and Retries
Lesson
Open this lesson in the LangGraph tutorial path.
13. Debugging and LangSmith
Lesson
Open this lesson in the LangGraph tutorial path.
14. Multi-Agent Graphs
Lesson
Open this lesson in the LangGraph tutorial path.
15. Production Debugging
Lesson
Open this lesson in the LangGraph tutorial path.
16. Deployment
Lesson
Open this lesson in the LangGraph tutorial path.
17. Projects
Lesson
Open this lesson in the LangGraph tutorial path.
18. Cheat Sheet
Lesson
Open this lesson in the LangGraph tutorial path.

LangGraph Topic Hub

Use the full topic workspace when you want tutorials, practice, interview prep, and nearby topic links in one place.

Open LangGraph topic hub
Tutorials, practice, and prep together
Topic hub 4 surfaces State and reducers Routing and control flow
Learn state graphs, nodes, edges, reducers, persistence, interrupts, streaming, subgraphs, and production workflow control from one path.

LangGraph Benefits

  • Make complex agent control flow visible, testable, and durable.
  • Pause and resume workflows across failures and human review.
  • Choose between explicit graphs and durable functional control flow.
  • Compose reusable subgraphs while controlling state boundaries.
  • Operate long-running agent systems with traces, retries, persistence, and deployment discipline.
Next Step
Next Practice

Finish the concept here, then reinforce it with hands-on coding, interview prep, or a tool that matches the topic.

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