How to Build and Manage the Full Agent Lifecycle

Taking agents into production—coordinated, measurable, and grounded in enterprise data—is where most teams hit the wall. Fragmented components, inconsistent evaluation, and brittle orchestration turn promising prototypes into projects that never ship. This hands-on session walks through the full agent lifecycle on Databricks. You'll build modular, production-ready agents using Agent Bricks, AI Functions, and Genie Code—then orchestrate them with a Supervisor Agent that dynamically routes tasks across tools and MCP servers. We'll deploy a complete agentic application on Lakebase, fully governed through Unity AI. You'll see how to measure quality, trace behavior, and build confidence before and after deployment. Through real-world examples, you'll leave with clear patterns to build, evaluate, deploy, and scale intelligent multi-agent applications on Databricks' latest agentic platform.