Multi-Agent Systems with LangGraph
Completed by SEBASTIÁN GONZÁLEZ MAILLARD
June 6, 2026
10 hours (approximately)
SEBASTIÁN GONZÁLEZ MAILLARD'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: LLM Application
- Category: AI Workflows
- Category: LangGraph
- Category: Agentic Workflows
- Category: Human Machine Interfaces
- Category: LangChain
- Category: AI Orchestration
- Category: Context Management
- Category: Debugging
- Category: Agentic systems
