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Google Cloud Digital Leader Certification Guide

You're reading from   Google Cloud Digital Leader Certification Guide A comprehensive study guide to Google Cloud concepts and technologies

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805129615
Length 210 pages
Edition 1st Edition
Languages
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Author (1):
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Bruno Beraldo Rodrigues Bruno Beraldo Rodrigues
Author Profile Icon Bruno Beraldo Rodrigues
Bruno Beraldo Rodrigues
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Introduction to Digital Transformation with Google Cloud
2. Chapter 1: Cloud Computing Fundamentals – An Introduction to Digital Transformation FREE CHAPTER 3. Chapter 2: The Shift to Public Cloud 4. Chapter 3: Understanding the Different Cloud Computing Models 5. Part 2:Innovating with Data and Google Cloud
6. Chapter 4: The Role of Data in Digital Transformation 7. Chapter 5: Google Cloud Solutions for Data Management 8. Chapter 6: Machine Learning and Artificial Intelligence on Google Cloud 9. Part 3:Infrastructure and Platform Modernization
10. Chapter 7: Modernizing IT Infrastructure with Google Cloud 11. Chapter 8: Modernizing Applications with Google Cloud 12. Chapter 9: The Value of APIs 13. Part 4:Understanding Google Cloud Security and Operations
14. Chapter 10: Google Cloud’s Approach to Security 15. Chapter 11: IT Operations in the Cloud 16. Chapter 12: Resource Monitoring and Application Performance Management on Google Cloud 17. Part 5:Practice Exam Questions
18. Chapter 13: Sample Questions: Exam Preparation 19. Index 20. Other Books You May Enjoy

Google Cloud solutions for ML and AI

Google Cloud provides a broad range of solutions to help folks leverage AI regardless of where they are in their data maturity journey. If you are a business user who wants to have a model autocomplete your words and sentences, Gmail or Google Docs may be very valuable. If, however, you are building applications and want to embed AI capabilities within your application, that’s where the Vertex AI platform truly shines.

There are essentially three ways to use ML models on Google Cloud: leverage off-the-shelf models, customize off-the-shelf models with your data and use case, or build models from scratch.

Pre-built models include models for natural language processing, image processing, and structured data processing such as clustering and linear regression. Google also provides the ability to tailor these pretrained models to your use case by training them on your data and classifiers. This is great when one of the pretrained models...

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