Summary

In this chapter, you saw how AI and ML can help you solve problems that are traditionally hard for regular programming to solve. You, again, followed a structured methodology to approach the project, starting from the requirements, checking for reusable assets, and lastly, architecting.

This time, you built using Terraform.

You dove deep into application logic using Python to retrieve and parse API responses. Then, again, for testing.

At the end of this chapter, you have multiple ideas that you can implement on your own using the AWS documentation to improve this chapter’s project. You can now, confidently, take advantage of AI/ML in your future projects.

In the next chapter, you are going to continue to learn about ML systems, this time applied to dynamic content translation. But that is not all; you will also start your journey into CI/CD tooling.