From Prompt to Production: Build a Real-Time Fraud Detection Model in Snowflake

Moving ML from experimentation to production shouldn't require slow iteration cycles. Join this instructor-led lab to learn how to quickly build and productionize a fraud detection model with real-time endpoints using only natural language prompts from Cortex Code, Snowflake’s AI coding agent. You’ll walk away with practical techniques to quickly go from initial model development with agentic ML to serving live traffic for low-latency predictions in milliseconds. 

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

• Generate ML pipelines from simple natural language prompts using Cortex Code directly from Snowflake’s Snowsight UI
• Serve models for latency-sensitive applications such as fraud detection
• Operationalize real-time models in production with natively integrated ML observability