Databricks Model Serving: Deploying an SKlearn Model (Hands-On)

In this video we get hands-on with deploying a sample SKlearn model on a Databricks Model Serving endpoint. This includes registry in Unity Catalog and exploring its tight integration with MLflow. Video Resources - Databricks Model Serving: https://www.databricks.com/product/model-serving - Model Serving Intro Sample (Covered next video): https://github.com/RamVegiraju/databricks-samples/tree/master/ML/ModelServing - MLFlow Intro: https://mlflow.org/docs/latest/ml/getting-started/ - Databricks Azure Account Setup: https://learn.microsoft.com/en-us/azure/databricks/getting-started/free-trial - Databricks Model Serving Theoretical Intro: https://www.youtube.com/watch?v=UmHISXgPhGk&t=703s Timestamps 0:00 Introduction 1:52 MLflow Integration 3:40 Unity Catalog 5:45 Hands-on 6:15 Cluster Setup 8:40 NB Hands-On #databricks #mlflow #modelserving #machinelearning #mlops #azure