How to Build and Serve Production ML Features | Databricks Feature Store Demo

See how Databricks Feature Store helps data scientists and ML engineers build, reuse, and productionize features for machine learning. In this short demo, you'll see how to define features with Feature Views, use them for model training, iterate on the workflow with Genie Code, and take the model into production with built-in governance and observability. Databricks Feature Store centralizes features across the ML lifecycle, helping teams maintain consistency between training and inference while simplifying the path from development to production. Learn about Feature Store:https://docs.databricks.com/aws/en/machine-learning/feature-store