Databricks Genie answers data questions in natural language, but the quality of those answers depends on how the space behind them is set up. This track shows you how to do that setup well.You'll begin with the fundamentals: writing column descriptions, adding synonyms and instructions, connecting tables, and saving example and parameterized queries. Trusted Assets come in to lock down the metrics that matter most.You'll then work through a case study, building a space from the ground up and using monitoring and benchmarks to find weak answers and fix them. A final code-along walks you through a real analytics problem end to end, so you can see where AI speeds you up and where your own judgment still matters.