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 introduction to Sagemaker and Snowpark, then discuss and demonstrate the common patterns for preparing training data, building models and deploying those models using Sagemaker and Snowpark. 

You will learn about:

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

Hands-on lab prerequisites:

• Familiarity with Snowflake and a Snowflake account
• Familiarity with Sagemaker and an AWS account
• Familiarity with Python