Summary

In this chapter, we first learned how AWS empowers ML practitioners and data scientists. We then looked at the various AWS tools that are available for ML, after which we learned about the ML life cycle. And finally, we touched on model deployment.

In the next chapter, we will discuss various popular ML algorithms and see how to implement them at scale on AWS. Before continuing to the next chapter, we advise readers who are new to AWS to go through the Appendix, getting started with AWS, which covers the process of creating a new AWS account.