Learn to architect and implement a multi-agent AI system where specialised agents work together seamlessly. This tutorial guides you through building individual agents for ticket classification, FAQ retrieval, and escalation handling, then shows you how to orchestrate them into a cohesive customer support platform. You'll understand agent communication patterns, delegation strategies, and how to monitor agent performance. By the end, you'll have a fully functional support system that handles real-world customer scenarios automatically. This hands-on course combines theory with practical implementation, ensuring you can apply multi-agent concepts to your own projects immediately.

Lessons

  1. Understanding Multi-Agent Systems — Core concepts, agent roles, and communication patterns (+50 XP)
  2. Building Your First Agent: Ticket Classifier — Design and implement a specialised classification agent (+75 XP)
  3. The FAQ Retrieval Agent — Create an agent that finds and ranks relevant support articles (+75 XP)
  4. Escalation Agent and Decision Logic — Build intelligent escalation handling for complex issues (+75 XP)
  5. Orchestrating Agent Workflows — Coordinate agents and manage message passing between them (+100 XP)
  6. Error Handling and Resilience — Implement fallbacks, retries, and graceful degradation (+75 XP)
  7. Monitoring, Testing, and Deployment — Observe agent performance and deploy to production (+100 XP)