Databricks Specialist Sessions

Duration: 2 hour 15 minutes

In this session, Mike & Kyra take you from a blank workspace to a fully working, AI-powered retail application — built end-to-end, entirely in Genie Code. Starting with raw retail data (transactions, product catalogue and customer profiles) landing in a Delta lakehouse, we'll train a recommender and customer-segmentation model live on stage. From there, we wrap the models in an agentic layer that reasons over recommendations, live inventory and margin rules to assemble genuinely personalised baskets. Finally, we surface the whole thing through an interactive chatbot storefront backed by the lakehouse, so you see every layer — data, ML, agent, UI and backend — come together in one continuous build. The goal is to demystify the full journey and show just how far you can get natively, without stitching together a dozen disconnected tools.