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DeepLearning.AIHands-on reviewedEditor's pick

AI Agents in LangGraph

Reviewed by AI Agent Rank editors · Last verified 2026-05-23

Our take

The shortest path from 'I read about agents' to 'I built one that works.' Harrison Chase walks through LangGraph's state machine model end-to-end — agentic loop, tool use, persistent state, human-in-the-loop. Free, ~90 minutes, and the only short course we recommend ahead of a longer specialization. Limitation: it assumes Python comfort and skips over LLM fundamentals. Pair it with the LLM Fundamentals course below if you're new to the field.

About the instructor

Harrison Chase
Founder, LangChain

Created LangChain — the most-used framework for LLM-orchestrated agents. Course is built by the author of the framework it teaches.

Pros

  • +Built and taught by LangChain founder — most authoritative source possible
  • +Free, ~90 minutes, immediate hands-on labs
  • +Covers state, tools, HITL, persistence — the actual building blocks

Cons

  • −Skips LLM basics — assumes you know what a token / context window is
  • −No certificate — bad for resume-padding, fine for actual learning

Best for

  • · Engineers who have used the OpenAI API but never built an agent loop
  • · PMs who want to understand how agents actually work under the hood

Not ideal for

  • · Complete beginners — start with LLM Fundamentals first
  • · People who need a certificate — this course doesn't issue one
Ready to enroll?

Free on DeepLearning.AI · ~1.5 hours (4 lessons)

Open DeepLearning.AI course →

After this course

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

Claude Code

Anthropic's terminal agent — composable, scriptable, and built around Claude's tool-use loop.

Cursor Agent

Background agent that drives the Cursor editor across multi-file changes.

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.

AI Agents in LangGraph — review (2026) | AI Agent Rank · AI Agent Rank