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Video course · 7 chapters · 47 min · certificate

LangGraph for AI Agents: Build Scalable, State-Driven Agent Systems in Python

Build agents with LangGraph in Python: core features and examples, IDE choice, environment setup, getting an LLM API key, a simple chatbot, generating a visual graph and a more complex chatbot with a classifier and routing.

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What you'll learn

  • Explain LangGraph's core features
  • Set up a Python environment
  • Configure an LLM provider
  • Build a simple LangGraph chatbot
  • Visualise a graph
  • Build a routed multi-node chatbot

Chapters

7 chapters · 46:48
  1. 2:31 01Intro Members Overview and core features A professional framework.
  2. 2:29 02Examples Members Examples and IDE choice Flows and tools.
  3. 2:45 03Setup Members Environment setup Dependencies.
  4. 1:14 04Keys Members Getting an LLM API key Pick a provider.
  5. 14:21 05Build Members Simple LangGraph chatbot First graph.
  6. 1:05 06Visualise Members Generating the visual graph See your graph.
  7. 22:23 07Advanced Members Complex chatbot with routing Classifier and routes.

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