Technical requirements
Before we start, it is important that we have the following ready:
- A web browser (preferably Chrome or Firefox)
- Access to the AWS account and the SageMaker Studio domain used in the previous chapters of this book
- A text editor (for example, VS Code) on your local machine that we will use for storing and copying string values for later use in this chapter
The Jupyter notebooks, source code, and other files used for each chapter are available in the repository at https://github.com/PacktPublishing/Machine-Learning-Engineering-on-AWS.
Important Note
It is recommended that you use an IAM user with limited permissions instead of the root account when running the examples in this book. If you are just starting out with using AWS, you can proceed with using the root account in the meantime.