What You'll Learn
This course takes you from your first LangGraph.js graph to production-ready multi-agent systems. Every lesson is hands-on — you write real code in a real web application, not toy examples.
Module 1: Foundations (Free)
Get up and running with LangGraph.js. Build your first graph, understand state and annotations, and create multi-turn conversations. These lessons are free — start learning today.
Module 2: Persistence & Memory
Add persistent memory to your agents. Learn checkpointing strategies, conversation history management, and cross-session state.
Module 3: Knowledge & RAG
Give your agents access to external knowledge. Build retrieval-augmented generation pipelines with vector search, document chunking, and context injection.
Module 4: Agent Fundamentals
Master the core patterns of autonomous agents. Tool calling, structured output, decision-making loops, and error recovery.
Module 5: Workflow Patterns
Design complex workflows with branching, parallel execution, human-in-the-loop approval, and conditional routing.
Module 6: Multi-Agent Systems
Orchestrate multiple specialized agents. Supervisor patterns, agent handoff, shared state, and collaborative problem-solving.
Module 7: Generative UI
Stream rich, interactive UI components from your agents. Real-time rendering of charts, forms, and dynamic content powered by AI.
Module 8: Production Readiness
Deploy with confidence. Observability, error handling, rate limiting, testing strategies, and monitoring for production AI systems.
How It Works
- Read the lesson on the platform — each lesson explains the concepts and shows the target architecture
- Write the code in your local sandbox — skeleton files and tests are provided
- Run the tests to verify your implementation matches the spec
- Check the solution if you get stuck — full solutions are included
- Take the quiz to reinforce what you learned — conversational AI quizzes adapt to your understanding
Who This Course Is For
- TypeScript developers who want to build AI-powered applications
- Backend engineers looking to add AI agent capabilities to their stack
- Full-stack developers who want hands-on experience with LangGraph.js
- Teams adopting AI agents and needing a structured learning path
No prior AI or machine learning experience required. If you're comfortable with TypeScript and async/await, you're ready.