All Courses
AI Interview MasteryIntermediate → SeniorNEW
LangGraph Agents
Graph-based agent flows, state, and orchestration patterns using LangGraph. Learn how to build stateful, cyclical agent workflows that can loop, branch, and recover from errors.
4.8rating1,560 students1h 50m total17 lessons
What you'll learn
Understand why stateful graphs outperform linear chains for agent workflows
Build nodes, edges, and conditional routing in LangGraph
Implement state schemas with TypedDict for type-safe agent state
Create looping agents with human-in-the-loop checkpoints
Design multi-agent supervisor and subgraph patterns
Handle errors and interrupts gracefully in long-running agent workflows
Final Project
Build a research agent in LangGraph with web search, note-taking, and a human approval step before publishing
Curriculum
17 lessons · 1h 50mCourse Info
Lessons17 lessons
Total time1h 50m
LevelIntermediate → Senior
Students1,560
Rating4.8 / 5.0