Build Your First Agentic ML Pipeline with Natural Language

Developing and operationalizing machine learning models has traditionally been a slow, manual process. Snowflake is transforming how data science teams work with agentic ML powered by Cortex Code, Snowflake’s AI coding agent.

This instructor-led lab walks you through a hands-on demo scenario to build and deploy your first ML model with only prompts — while also sharing practical tips and techniques you can apply to accelerate ML workflows in your own environments.

During the session, ML experts provide step-by-step guidance on how to use natural language prompts to:
 

• Perform exploratory data analysis
• Train a machine learning model for customer lifetime value and evaluate performance
• Log the model into the Snowflake Model Registry and run inference with built-in observability