Amazon SageMaker and Snowpark both offer a robust set of features for preparing data, training models and deploying models. In this hands-on lab, we will provide an in-depth introduction, then discuss and demonstrate the common patterns for preparing training data, building models and deploying those models using Amazon SageMaker and Snowpark. 

You will learn about:

• Using a Amazon SageMaker Notebook with Snowpark
• Loading and transforming data via Snowpark
• Defining User Defined Functions for distributed scoring of machine learning models

In collaboration with: