Multi-Agent Systems with LangGraph
Completed by Zeiad Elkhateeb
March 3, 2026
10 hours (approximately)
Zeiad Elkhateeb'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: Generative AI Agents
- Category: Software Architecture
- Category: AI Workflows
- Category: Human Machine Interfaces
- Category: LangChain
- Category: Agentic systems
- Category: Context Management
- Category: Debugging
- Category: AI Orchestration
- Category: LLM Application
- Category: LangGraph
- Category: Agentic Workflows
