Join us for an exclusive, focused morning designed for data scientists and ML practitioners who want to accelerate their Machine Learning (ML) journey.

We will demonstrate how to build, train and scale robust ML models directly within the Snowflake AI Data Cloud – eliminating the friction and security risks associated with data movement.

We will provide practical insight into leveraging Snowflake’s capabilities, helping you move your ML projects faster from proof-of-concept to production. You’ll learn how to unify your data and model deployment within a single governed platform.

Agenda
08:30
Breakfast
09:00
Snowflake AI/ML Overview
09:15
End-to-End Snowflake ML
  • – Feature Engineering
  • – Data Preprocessing
  • – Model Training and Deployment (Warehouse and SPCS)
  • – HPO
  • – Model Explainability
  • – Model Monitoring and Observability
10:00
Hands-on-Lab: “Build an End-to-End ML Workflow in Snowflake”
11:00
Event Ends

Join us for an exclusive, focused morning designed for data scientists and ML practitioners who want to accelerate their Machine Learning (ML) journey.

We will demonstrate how to build, train and scale robust ML models directly within the Snowflake AI Data Cloud – eliminating the friction and security risks associated with data movement.

We will provide practical insight into leveraging Snowflake’s capabilities, helping you move your ML projects faster from proof-of-concept to production. You’ll learn how to unify your data and model deployment within a single governed platform.

SAVE YOUR SPOT!

Date: January 27, 2026
Time: 08:30 CET