LangChain Academy: Introduction to LangGraph
by LangChain
LangChain's own deep dive into building reliable, stateful agents with LangGraph.
Overview
LangChain Academy is the vendor's free training platform, and the Intro to LangGraph course is its flagship. It goes deeper than a short course: you build up from simple graphs to complex agents with persistent memory, breakpoints, streaming, and human oversight, and finish by deploying an assistant. Because it's maintained by the LangGraph team, it tracks the latest APIs closely.
At a Glance
- Topic
- Agentic
- Level
- Intermediate
- Format
- Course
- Cost
- Free
- Duration
- ~5-6 hours
- Provider
- LangChain
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓LangGraph state, nodes, and conditional edges
- ✓Short- and long-term agent memory
- ✓Breakpoints, streaming, and human-in-the-loop
- ✓Deploying an agent as a hosted assistant
Highlights
- •Maintained by the LangGraph team
- •Deeper and longer than a typical short course
- •Free notebooks you keep
Who It’s For
Best For
- ✓Developers standardizing on the LangChain/LangGraph stack
Prerequisites
- •Intermediate Python
- •Basic LLM experience
FAQ
What is LangChain Academy: Introduction to LangGraph?
The official LangChain Academy course covering LangGraph's core concepts — state, nodes, edges, memory, and human-in-the-loop — with hands-on notebooks.
Is LangChain Academy: Introduction to LangGraph free?
LangChain Academy: Introduction to LangGraph is free to access.
What level is LangChain Academy: Introduction to LangGraph for?
LangChain Academy: Introduction to LangGraph is aimed at a intermediate audience. Recommended background: Intermediate Python, Basic LLM experience.
How long does LangChain Academy: Introduction to LangGraph take?
Expect roughly ~5-6 hours. Most learners work through it at their own pace.
What will I learn from LangChain Academy: Introduction to LangGraph?
You'll learn: LangGraph state, nodes, and conditional edges; Short- and long-term agent memory; Breakpoints, streaming, and human-in-the-loop; Deploying an agent as a hosted assistant.