Multi-Agent Orchestration: full course guide
Complex tasks require different roles — a Coder agent, a Reviewer agent, a Researcher agent. Set up a Creative Agency multi-agent system where one agent writes content and another critiques it until a quality score is met.
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What is inside this guide
01Multi-Agent Fundamentals
- Why One Agent Is Not Enough for Complex Tasks
- Roles, Goals, and Backstory in Agent Design
- AutoGen: Conversational Multi-Agent Framework
- CrewAI: Crew, Agent, and Task Abstractions
- Choosing Between AutoGen and CrewAI
02Building the Creative Agency
- Defining the Writer Agent and Its Task
- Defining the Critic Agent with a Scoring Rubric
- Agent Handoff: Passing Output Between Agents
- Iterating Until Quality Threshold Is Reached
- Preventing Infinite Loops with max_iter Guards
03Orchestration Patterns
- Sequential vs Hierarchical Agent Execution
- Shared Memory and Context Between Agents
- Human-in-the-Loop Approval Steps
- Logging Inter-Agent Conversations
- Capstone: Multi-Agent Content Pipeline with Quality Gate
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