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Introduction to LangGraph - Python

Introduction to LangGraph in Python is LangChain Academy’s free course on LangGraph, the framework for orchestrating complex agentic systems. It runs from a simple graph through state, memory, human-in-the-loop controls and deployment.

Who it suits

  • Developers who need more control than LangChain agents give them.
  • Anyone building agents that need memory, streaming and human approval steps.

What it covers

  • Graphs, chains, routers and agents, with LangSmith Studio.
  • State schemas, reducers, trimming and filtering messages, and chatbots with summarising memory.
  • Streaming, breakpoints, editing state with human feedback, and time travel.
  • Parallelisation, sub-graphs, map-reduce and a research assistant.
  • Long-term memory with the LangGraph Store, and deploying and connecting to a deployment.

Watch here

From LangChain’s own channel, so you can start without leaving Infrato. Nothing loads from YouTube until you press play.

  • LangChain · 2024

    LangChain Academy New Course: Introduction to LangGraph

Common questions about Introduction to LangGraph - Python

Do I need LangChain to use LangGraph?
No. The course page says LangGraph is a lower-level, more controllable orchestration framework, while LangChain provides a standard interface to models and components.
How long is it?
The course page lists 55 lessons and 6 hours of video content.
Is it free?
LangChain Academy labels the course Free and offers free enrolment.

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Where this comes from

Written from LangChain’s own pages, read on 2026-10-13. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with LangChain and this is not an endorsement.