Journey to Become a Google Cloud Machine Learning Engineer: Build the mind and hand of a Google Certified ML professional

Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills

Key Features:

• A comprehensive yet easy-to-follow Google Cloud machine learning study guide
• Explore full-spectrum and step-by-step practice examples to develop hands-on skills
• Read through and learn from in-depth discussions of Google ML certification exam questions

Book Description:

This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.

The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional.

The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together.

The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.

What You Will Learn:

• Provision Google Cloud services related to data science and machine learning
• Program with the Python programming language and data science libraries
• Understand machine learning concepts and model development processes
• Explore deep learning concepts and neural networks
• Build, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AI
• Discover the Google Cloud ML Application Programming Interface (API)
• Prepare to achieve Google Cloud Professional Machine Learning Engineer certification

Who this book is 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.

準備 GCP ML 認證考試，同時探索雲端運算和機器學習概念，並獲得 Google Cloud ML 技能。

主要特點：
- 全面且易於理解的 Google Cloud 機器學習學習指南
- 透過全方位和逐步實踐範例來發展實踐技能
- 深入討論 Google ML 認證考試問題，並從中學習

書籍描述：
本書旨在提供一個學習指南，以在 Google Cloud 中學習和掌握機器學習：建立廣泛且堅實的知識基礎，培養實踐技能，並獲得 Google Cloud 機器學習工程師認證。

本書適用於具備基本 Google Cloud 平台（GCP）知識和技能，以及基本 Python 編程技能的讀者，並希望在 GCP 中學習機器學習，邁向成為 Google Cloud 認證機器學習專業人士的下一步。

本書首先奠定了 Google Cloud 平台和 Python 編程的基礎，然後構建機器學習的基礎，接著專注於 Google Cloud 中的機器學習，最後通過整合所有知識和技能來準備 Google Cloud 機器學習認證。

本書基於作者在德州達拉斯大學教授的研究課程。讀者在閱讀各章節時，預期會學習概念，完成練習，理解並實踐附錄中的實驗室，並仔細研究每個考試問題。在學習過程的結尾，您可以期待獲得知識、技能和證書。

學到什麼：
- 提供與數據科學和機器學習相關的 Google Cloud 服務
- 使用 Python 編程語言和數據科學庫進行編程
- 理解機器學習概念和模型開發過程
- 探索深度學習概念和神經網絡
- 使用 Google BigQuery ML、Keras 和 Google Cloud Vertex AI 構建、訓練和部署 ML 模型
- 探索 Google Cloud ML 應用程序編程接口（API）
- 為獲得 Google Cloud 專業機器學習工程師認證做好準備

本書適合對雲端運算、數據分析和機器學習領域感興趣的人，例如雲端工程師、數據科學家、數據工程師、機器學習從業人員和工程師，他們可以通過本學習指南獲得知識和技能，並獲得 Google Cloud 專業機器學習工程師認證。閱讀本書需要具備基本的 Google Cloud 平台和 Python 編程知識，以獲得最大的收益。