This hands-on workshop guides participants through the full process of building a production-grade question-answering application using Databricks' integrated AI capabilities. Starting from a blank slate, attendees will learn how to use Agent Bricks to create intelligent agents, leverage Mosaic AI for orchestration and observability, and integrate vector stores for semantic search.

The session also covers how to evaluate and monitor models and agents using MLflow, and how to deploy the final application using Databricks Apps for real-world usability. By the end of the workshop, participants will have built and deployed a Retrieval-Augmented Generation (RAG) Q&A system capable of delivering context-aware answers from enterprise data.

This workshop is ideal for data professionals and developers looking to understand how Databricks supports the full lifecycle of intelligent application development from experimentation to deployment.