FreeAdvanced14 lessons1h 52m

LangGraph Advanced

Master stateful, multi-step AI workflows with LangGraph. Cover graph design, state management, branching logic, human-in-the-loop patterns, and production deployment.

Course Content

Module 1: Graph-Based AI Workflows

15 min

Understand why graph-based architectures represent the future of AI workflow design.

Why Graphs? From Chains to Graphs6 min
Graph Theory for AI Orchestrators6 min
Module Quiz+25 XP

Module 2: LangGraph Fundamentals

15 min

Get hands-on with LangGraph core concepts: nodes, edges, state, and your first graph.

Nodes, Edges, and State6 min
Building Your First Graph6 min
Module Quiz+25 XP

Module 3: State Management & Persistence

15 min

Master state schemas, reducers, checkpointing, and recovery for robust workflows.

State Schemas and Reducers6 min
Checkpointing and Recovery6 min
Module Quiz+25 XP

Module 4: Branching & Conditional Logic

15 min

Build dynamic workflows with conditional routing, parallel execution, and complex branching patterns.

Conditional Edges and Routing6 min
Parallel Execution Patterns6 min
Module Quiz+25 XP

Module 5: Human-in-the-Loop Patterns

17 min

Learn to build workflows that pause for human input, approval, and oversight.

Interrupts and Breakpoints7 min
Approval Workflows7 min
Module Quiz+25 XP

Module 6: Production Deployment

18 min

Deploy your LangGraph workflows to production with monitoring, logging, and operational excellence.

LangGraph Cloud & Self-Hosting7 min
Monitoring, Logging, and Debugging8 min
Module Quiz+25 XP

Module 7: Capstone: Enterprise Workflow

17 min

Design and build a production-grade enterprise workflow using everything you have learned.

Project Requirements & Architecture6 min
Implementation Guide & Best Practices8 min
Module Quiz+25 XP

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