Building AI agents is becoming more accessible, but moving from a working prototype to production requires knowing when multiagent architectures make sense, how to evaluate their performance, and which tools can help you build more reliably.
In this course, join Viktoria Semaan, Principal AI Evangelist at Databricks, as she demonstrates how to design and deploy a complete multiagent system in Databricks using a realistic bookstore scenario. Explore multiagent architecture patterns, evaluate agent performance with MLflow 3, and apply Databricks tools to accelerate development. Along the way, examine each system component in detail, troubleshoot common integration challenges, and explore reusable architecture patterns alongside working code from the course repository that you can adapt to your own unique use cases.
