Technical requirements
Before we start, we must have the following ready:
- A web browser (preferably Chrome or Firefox)
- Access to the AWS account that was used in the first two chapters of this book
- Access to the Cloud9 environment that you prepared in the Creating your Cloud9 environment and Increasing the Cloud9 storage sections of Chapter 1, Introduction to ML Engineering on AWS
The Jupyter notebooks, source code, and other files used for each chapter are available in this book’s GitHub 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. We will discuss this, along with other security best practices, in detail in Chapter 9, Security, Governance, and Compliance Strategies. If you are just starting using AWS, you may proceed with using the root account in the meantime...
