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LangChain Academy · on LangChain

Introduction to LangGraph

Intermediate 5 hours EnglishFREE
SkillsLangGraphAI agentsState managementAgent memoryTool callingPython

Is this course right for you?

Our take
LangChain Academy's free, first-party introduction to LangGraph — the framework for stateful, controllable agent workflows.

Good for: Developers who specifically want to build agents with LangGraph, from the team that makes it.

Skip if: You want a broad, framework-neutral introduction to agents.

It's narrow and framework-specific by design: the core building blocks (state, nodes, edges, memory) taught through notebooks, then more advanced patterns and deployment. As the authoritative, from-the-makers way to learn LangGraph it's hard to beat, and it's genuinely free and code-first — best paired with a broader, framework-neutral agents course for the underlying concepts, since it assumes you want LangGraph specifically rather than an introduction to agents in general. Treat it as a strong skills signal for LangGraph work rather than a formal credential (as of 2026).

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About this course

Introduction to LangGraph is LangChain Academy's free course on building agents with LangGraph, the framework for stateful, controllable agent workflows. Across a handful of modules it covers the core building blocks — state, nodes, edges and memory — with video lessons and Jupyter-notebook exercises, then moves into more advanced patterns and deploying your agents.

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Instructor

I
Instructor
LangChain instructor

LangChain is the company behind the widely-used LangChain and LangGraph frameworks. Its LangChain Academy courses are first-party, code-first, and kept current with the libraries.

Frequently asked questions

Building agentic applications with LangGraph, LangChain's framework for orchestrating language-model workflows as graphs. It covers the core building blocks — nodes, edges, and state — plus adding memory, human-in-the-loop steps, and control over how agents reason and act. It is a hands-on, code-focused introduction from the framework's own team, so you learn to build real LangGraph agents rather than just concepts.

Not agent experience specifically, but you do need Python and a basic understanding of large language models and how to call them. It assumes you can code and are comfortable with LLM fundamentals, then teaches the LangGraph-specific patterns. Complete beginners to programming or LLMs should build those foundations first; with them in place, this is a reasonable entry point into agent orchestration.

Yes. LangChain Academy offers this introductory LangGraph course free, since it is partly there to help developers adopt the framework. Note that building and running the agents calls language-model APIs, which charge by usage, so you may incur small API costs while doing the hands-on parts — but the course material itself is free to access.

For a developer wanting to learn LangGraph specifically, yes — it comes straight from LangChain's own team, so it reflects the framework's intended patterns accurately and stays reasonably current, which matters in a fast-moving area. It is focused rather than broad, so pair it with wider agent and LLM learning, but as a direct, free introduction to LangGraph it is a strong choice.

It is a focused course — typically a handful of hours — since it targets LangGraph specifically rather than covering agents broadly. Most people work through it over a few sittings, spending the real time on the hands-on coding. Given how fast the agent-tooling space evolves, expect to keep learning beyond it, but it gets you building with LangGraph quickly.
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