Snowpark ML APIs and the Model Registry

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Snowflake has several powerful AI/ML features. These are available under two broad categories: Snowflake Cortex for LLM-related activities and Snowflake ML for more traditional ML model-building. In this course, explore how Snowflake integrates AI/ML capabilities across its platform, how Snowpark ML APIs support model training with popular libraries, and how to perform hyperparameter tuning to optimize model performance. Next, learn how to configure Python and Jupyter for Snowflake ML and set up a virtual environment to run a Jupyter Notebook that leverages Snowflake ML APIs. Finally, discover how to connect to Snowflake using the Snowpark API, work with the Snowflake Model Registry, and manage models. Upon course completion, you will be able to outline Snowpark ML APIs and the Snowflake Model Registry.