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:

  • Matt Marzillo

    Sr. Partner Sales Engineer,

  • Bosco Albuquerque

    Sr. Partner Solution Architect – Data and Analytics,
    Amazon Web Services