Journey to Become a Google Cloud Machine Learning Engineer

9

Using Google Cloud ML Best Practices

In this chapter, we will discuss the best practices for implementing Machine Learning (ML) in Google Cloud. We will go through an implementation of a customer-trained ML model development process in GCP and provide recommendations throughout.

In this chapter, we will cover the following topics:

• ML environment setup
• ML data storage and processing
• ML model training
• ML model deployment
• ML workflow orchestration
• ML model continuous monitoring

This chapter aims to integrate the knowledge we have learned so far in this book and apply it to a customer-trained ML project. We will start by setting up the ML environment.

ML environment setup

In Chapter 4, Developing and Deploying ML Models, in the Preparing the ...