ML & AI on Snowflake with Chase

Welcome to the Machine Learning & AI on Snowflake learning repository! This repo is designed to teach data scientists, ML engineers, and analytics professionals how to build, deploy, and manage modern AI/ML solutions directly on the Snowflake.

Whether you're new to Snowflake's machine learning capabilities or looking to deepen your expertise, this repository walks you through hands-on examples and reusable patterns for real-world use cases.

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What You’ll Learn

This repository covers the following core areas:

1. Simple MLOps with Batch Inference

• Train and register ML models using Snowflake Model Registry.
• Deploy models for batch scoring using Dynamic Tables and a Warehouse.

2. Simple MLOps with Online Inference

• Train and register ML models using Snowflake Model Registry.
• Create a compute pool to host your model
• Create a service for executng you model as an endpoint

3. Agent Framework with Cortex Analysts & Search

• How to build agent-based frameworks that utilize multiple Analysts and Search services
• Leverage the open source orchestration framework developed by Snowlfake Solution Innovation Team.

4. Time Series Forecasting

• Build a robust forecasting framework that can handle many partitions
• Leverage snowflake scalable time series solution

5. Entity Resolution

• Leverage batch cortex search to link records across large datasets.

6. Remote Setup

• Leverage SSH to execute on Snowflake compute from the IDE of your choice.