Multi-Agent Solutions and Autonomous Workflows
Introduction
This lesson completes the agent part of AI-103's largest domain, Implement generative AI and agentic solutions (30–35%). One agent with a handful of tools is often enough, but real systems frequently need several specialised agents, long-running processes, and controls that decide how much freedom each agent has. The official skills list three areas covered here: orchestrated multi-agent solutions, autonomous and semiautonomous workflows with safeguards and approvals, and monitoring, evaluation and error analysis of agents.
After this lesson you will be able to choose an orchestration pattern, design hand-offs between agents, place approvals and limits in an autonomous workflow, and diagnose agent failures from traces and evaluations.