Preparing the prerequisites of a multi-model endpoint deployment

In this recipe, we will prepare some of the prerequisites of a multi-model endpoint deployment, including pre-trained model files and the S3 paths where the pre-trained model files will be uploaded to. These prerequisites will be used in the Hosting multiple models with multi-model endpoints and Setting up A/B testing on multiple models with production variants recipes.

Getting ready

For this recipe, you will need a SageMaker Studio notebook running the Python 3 (Data Science) kernel.

How to do it…

The steps in this recipe focus on downloading the pre-trained model files from this book's GitHub repository and uploading them to the S3 bucket. Let's get started:

1. Create a new notebook using the Python 3 (Data Science) kernel inside the my-experiments/chapter09 directory and rename it to the name of this recipe (Preparing the prerequisites of a multi-model endpoint deployment).
2. Prepare...