Build a Production-Ready ML Pipeline in Snowflake

This instructor-led lab will teach you how to quickly build and deploy a production-ready machine learning workflow entirely within Snowflake ML. We’ll work through a mortgage lending prediction use case, implementing each stage of the ML lifecycle from feature engineering to model deployment and monitoring.

In this lab, ML experts will provide step-by-step guidance on how to:

• Define and manage features with Snowflake Feature Store
• Train models with Snowflake ML APIs
• Manage versions and model lifecycle with Snowflake Model Registry
• Track performance and drift with integrated ML Observability