Databricks Core Workflow B: MLflow Training

Overview

Build ML pipelines with MLflow experiment tracking, model registry, and deployment.

Prerequisites

• Completed databricks-install-auth setup
• Familiarity with databricks-core-workflow-a (data pipelines)
• MLflow and scikit-learn installed
• Unity Catalog for model registry (recommended)

Instructions

Step 1: Feature Engineering with Feature Store

Step 2: MLflow Experiment Tracking

Step 3: Model Registry and Versioning

Step 4: Model Serving and Inference