Multi-Agent Systems with LangGraph
Completed by Hafeez Ur Rehman
April 18, 2026
10 hours (approximately)
Hafeez Ur Rehman's account is verified. Coursera certifies their successful completion of Multi-Agent Systems with LangGraph
What you will learn
Explain how LangGraph executes workflows and manages state using reducers, typed state, and checkpoints.
Implement stateful agent pipelines with conditional routing, parallel execution, and recovery mechanisms.
Analyze agent behavior using execution logs, snapshots, and time-travel debugging techniques.
Design human-in-the-loop and multi-agent systems using supervision, planning, and consensus reasoning.
Skills you will gain
- Category: Agentic Workflows
- Category: LLM Application
- Category: Software Architecture
- Category: Debugging
- Category: Human Machine Interfaces
- Category: LangChain
- Category: AI Orchestration
- Category: AI Workflows
- Category: Generative AI Agents
- Category: LangGraph
- Category: Context Management
- Category: Agentic systems
