Book

Journey to Become a Google Cloud Machine Learning Engineer

This is a guide to learning and mastering machine learning in Google Cloud and a roadmap to becoming a Google Cloud certified Machine Learning Engineer. The book emphasizes developing the “mind and hand” to build a broad and strong knowledge base, develop hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

11h

Language

English

About Book

Who Is This Book For?

Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.

Book content

15 chapters 11h total length

Comprehending Google Cloud Services

Mastering Python Programming

Preparing for ML Development

Developing and Deploying ML Models

Understanding Neural Networks and Deep Learning

Learning BQ/BQML, TensorFlow and Keras

Exploring Google Cloud Vertex AI

Discovering Google Cloud ML API

Using Google Cloud ML Best Practices

Achieving the GCP ML Certification

Appendix 1 - Practicing with Basic GCP Services

Appendix 2 - Practicing with Python Data Library

Appendix 3 - Practicing with ScikitLearn

Appendix 4 - Practicing with Vertex AI

Appendix 5 - Practicing with Google Cloud ML API

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