Preparing the essential prerequisites

In this section, we will ensure that the following prerequisites are ready:

• The SageMaker Studio Domain execution role with the AWSLambda_FullAccess AWS managed permission policy attached to it – This will allow the Lambda functions to run without issues in the Completing the end-to-end ML pipeline section of this chapter.
• The IAM role (pipeline-lambda-role) – This will be used to run the Lambda functions in the Creating Lambda Functions for Deployment section of this chapter.
• The processing.py file – This will be used by the SageMaker Processing job to process the input data and split it into training, validation, and test sets.
• The bookings.all.csv file – This will be used as the input dataset for the ML pipeline.

Important Note

In this chapter, we will create and manage our resources in the Oregon (us-west-2) region. Make sure that you have set the correct region before proceeding with...