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

Name: Journey to Become a Google Cloud Machine Learning Engineer: Build the mind and hand of a Google Certified ML professional
Price: 44.99 USD
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Rating: 4.9 (59 reviews)

4.9 of 5 Stars: Databases & Big Data - Journey to Become a Google Cloud Machine Learning Engineer: Build the mind and hand of a Google Certified ML professional

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Description

Book Synopsis: 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 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.

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

Details

Are you interested in becoming a certified Google Cloud Machine Learning Engineer? Look no further! Our comprehensive study guide will equip you with all the knowledge and skills you need to succeed. Master the concepts of cloud computing and machine learning, and learn how to leverage Google Cloud ML to build powerful models. With step-by-step practice examples and in-depth discussions of exam questions, you'll be well-prepared to pass the GCP ML certification exam. Take your career to new heights and become a Google Certified ML professional today.

What sets our study guide apart is its hands-on approach. We provide you with real-world examples and practical exercises to develop your skills. Whether you're new to machine learning or already have a solid foundation, our guide will help you build a broad and strong knowledge base. Additionally, our book is based on the author's experience teaching graduate courses at a prestigious university, ensuring that you're receiving top-notch instruction.

Throughout your learning journey, you will explore various Google Cloud services, program with Python, and gain an understanding of the model development process. You'll delve into deep learning concepts, neural networks, and discover how to build, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AI. Our study guide also covers the Google Cloud ML API, an essential tool for any aspiring ML Engineer.

This study guide is designed for individuals from cloud computing, data analytics, and machine learning domains who are looking to acquire new skills and achieve the Google Cloud professional ML Engineer certification. Whether you're a cloud engineer, data scientist, ML practitioner, or engineer, our guide will provide the necessary knowledge and guidance to help you succeed. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.

Don't miss out on this opportunity to become a Google Cloud Certified Machine Learning professional. Start your journey today and unlock endless possibilities in your career. Click here to grab your copy of the study guide and set yourself on the path to success!

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