Learning Path
LangGraph
Stateful agent workflows, graph nodes, routing, persistence, human approval, deployment, evaluation, and multi-agent patterns.
LangGraph Core: Beginner
Stateful multi-actor graph runtime
Nodes & Edges: Beginner
Modular building blocks
State & Persistence: Beginner
Checkpoints & long-running agents
Conditional Routing: Beginner
Dynamic decision-making
Cycles & Reflection: Beginner
Self-correction through loops
Human-in-the-Loop: Beginner
Interrupt, approve, edit
LangGraph vs LangChain: Beginner
When to use graphs over chains
Deployment & Scaling: Beginner
Local graph to production API
Evaluation: Beginner
Trace analysis & metrics
Multi-Agent Systems: Beginner
Supervisor + specialist teams
LangGraph Core: Intermediate
Stateful multi-actor graph runtime
Nodes & Edges: Intermediate
Modular building blocks
State & Persistence: Intermediate
Checkpoints & long-running agents
Conditional Routing: Intermediate
Dynamic decision-making
Cycles & Reflection: Intermediate
Self-correction through loops
Human-in-the-Loop: Intermediate
Interrupt, approve, edit
LangGraph vs LangChain: Intermediate
When to use graphs over chains
Deployment & Scaling: Intermediate
Local graph to production API
Evaluation: Intermediate
Trace analysis & metrics
Multi-Agent Systems: Intermediate
Supervisor + specialist teams
LangGraph Core: Advanced
Stateful multi-actor graph runtime
Nodes & Edges: Advanced
Modular building blocks
State & Persistence: Advanced
Checkpoints & long-running agents
Conditional Routing: Advanced
Dynamic decision-making
Cycles & Reflection: Advanced
Self-correction through loops
Human-in-the-Loop: Advanced
Interrupt, approve, edit
LangGraph vs LangChain: Advanced
When to use graphs over chains
Deployment & Scaling: Advanced
Local graph to production API
Evaluation: Advanced
Trace analysis & metrics
Multi-Agent Systems: Advanced
Supervisor + specialist teams