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LangChain AcademyHands-on reviewedEditor's pick

Introduction to LangGraph (LangChain Academy)

Reviewed by AI Agent Rank editors · Last verified 2026-05-24

Our take

The official deeper-dive into LangGraph from LangChain Academy. Where the DeepLearning.AI short covers basics in 90 minutes, this one goes 6-8 hours into state, persistence, human-in-the-loop, streaming, and the LangGraph Cloud deployment story. Free, taught by LangChain engineering. The canonical follow-up after the DL.AI short course if you're committing to LangGraph for production.

About the instructor

Lance Martin
LangChain Engineering

LangChain engineer teaching the LangGraph state-machine model end-to-end, including persistence, human-in-the-loop, and streaming.

Pros

  • +Official deep-dive from LangChain Academy
  • +Free, 6-8 hours of structured content
  • +Covers production patterns (persistence, HITL, streaming, LangGraph Cloud)

Cons

  • LangGraph-only — no comparison to crewAI / AutoGen alternatives
  • Pre-reqs: comfortable with LangChain basics

Best for

  • · Engineers committed to LangGraph for production agents
  • · Anyone past the DL.AI short course wanting production depth

Not ideal for

  • · Beginners evaluating frameworks — take the DL.AI short course first
Ready to enroll?

Free on LangChain Academy · ~6-8 hours (8 modules)

Open LangChain Academy course

After this course

These are the agents and tools where the skills from this course actually pay back.

Alternatives we considered

Other courses on the same topic. The right pick depends on your level and constraints — see each card for the trade-offs.

Introduction to LangGraph (LangChain Academy) — review (2026) | AI Agent Rank · AI Agent Rank