Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

Mona Mona, Pratap Ramamurthy

This official study guide is designed to help you prepare for the Google Cloud Professional Machine Learning Engineer certification exam. It covers the key concepts, tools, and best practices for designing, building, and productionizing ML models on Google Cloud Platform (GCP).

The book provides a comprehensive overview of ML engineering on GCP, including data preparation, feature engineering, model training, deployment, and MLOps. It includes practical examples, exam tips, and review questions to reinforce learning.

Authored by Google Cloud experts, this guide aligns with the official exam blueprint. It is ideal for data scientists, ML engineers, and cloud architects seeking to validate their skills and advance their careers in machine learning on Google Cloud.

Whether you are new to GCP or an experienced practitioner, this study guide offers the structured preparation needed to pass the exam and apply ML engineering principles effectively.

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