Official Google Cloud Certified Professional Machine Learning Engineer Study Guide - (Sybex Study Guide) by Mona Mona & Pratap Ramamurthy

About the Book

"In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you'll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments"--

Book Synopsis

Expert, guidance for the Google Cloud Machine Learning certification exam

In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you'll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer.

The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments.

The book also shows you how to:

• Frame ML problems and architect ML solutions from scratch
• Banish test anxiety by verifying and checking your progress with built-in self-assessments and other practical tools
• Use the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cards

A can't-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.

From the Back Cover

Your one-stop resource to prepare for the highest-paying IT certification out there

Google Cloud Platform is a fast-growing machine learning platform that is highly in demand for engineers and developers. As a Google-certified Professional Machine Learning Engineer, you'll have the credential you need to demonstrate your mastery of this hot tech. Official Google Cloud Certified Professional Machine Learning Engineer Study Guide helps you gain the expertise you need to pass the exam and obtain your certification. This book helps you learn core content on data, feature engineering, model training, and deployment of machine learning models on Google Cloud. You'll also learn important best practices through real-world scenarios, so you can understand exactly how everything works in practice.

This book's proven study tools include a pre-book assessment exam, chapters with objective maps and review questions, and additional online practice tests with explanations, glossary, and flash cards. You'll gain the confidence you need to succeed on exam day.

Official Google Cloud Certified Professional Machine Learning Engineer Study Guide helps you:

• Frame machine learning problems
• Architect machine learning solutions
• Design data preparation and processing systems
• Develop, train, and scale machine learning models
• Automate and orchestrate machine learning pipelines
• Monitor, optimize, and maintain machine learning solutions

Interactive learning environment

Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access to:

• Interactive test bank with 2 practice exams. Practice exams help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. More than 300 online questions total!
• More than 200 electronic flashcards to reinforce learning and last-minute prep before the exam
• Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

About the Author

ABOUT THE AUTHORS

MONA is an AI/ML specialist in the Google Public Sector. She is the author of Natural Language Processing with AWS AI Services and a frequent speaker at cloud computing and machine learning events. She was a Sr. AI/ML specialist SA at AWS before joining Google. She has 14 Certifications and has created courses for AWS AI/ML Certification Speciality Exam readiness. She has authored 17 articles on AI/ML and also co-authored a research paper on CORD-19 Neural Search, which won an award at the AAAI Conference on Artificial Intelligence

Pratap Ramamurthy is an AI/ML Specialist Customer Engineer in Google Cloud. Previously, he worked as a Sr. Principal Solution Architect at H2O.ai and before that was a Partner Solution Architect at AWS. He has authored several research papers and holds 3 patents.