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The Self-Taught Cloud Computing Engineer

You're reading from   The Self-Taught Cloud Computing Engineer A comprehensive professional study guide to AWS, Azure, and GCP

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781805123705
Length 472 pages
Edition 1st Edition
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Author (1):
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Dr. Logan Song Dr. Logan Song
Author Profile Icon Dr. Logan Song
Dr. Logan Song
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Toc

Table of Contents (24) Chapters Close

Preface 1. Part 1: Learning about the Amazon Cloud
2. Chapter 1: Amazon EC2 and Compute Services FREE CHAPTER 3. Chapter 2: Amazon Cloud Storage Services 4. Chapter 3: Amazon Networking Services 5. Chapter 4: Amazon Database Services 6. Chapter 5: Amazon Data Analytics Services 7. Chapter 6: Amazon Machine Learning Services 8. Chapter 7: Amazon Cloud Security Services 9. Part 2:Comprehending GCP Cloud Services
10. Chapter 8: Google Cloud Foundation Services 11. Chapter 9: Google Cloud’s Database and Big Data Services 12. Chapter 10: Google Cloud AI Services 13. Chapter 11: Google Cloud Security Services 14. Part 3:Mastering Azure Cloud Services
15. Chapter 12: Microsoft Azure Cloud Foundation Services 16. Chapter 13: Azure Cloud Database and Big Data Services 17. Chapter 14: Azure Cloud AI Services 18. Chapter 15: Azure Cloud Security Services 19. Part 4:Developing a Successful Cloud Career
20. Chapter 16: Achieving Cloud Certifications 21. Chapter 17: Building a Successful Cloud Computing Career 22. Index 23. Other Books You May Enjoy

Google Cloud AI Services

Google Cloud provides a set of AI tools and services for developers to build, train, and deploy ML models at scale. Google Cloud AI services provide the ability to build custom machine learning (ML) models using Vertex AI, which is a fully managed machine learning platform that allows developers and data scientists to build, train, and deploy machine learning models from end to end. Google Cloud AI also offers services based on pre-trained models and APIs for common ML tasks, such as image and speech recognition, natural language processing (NLP), and other predictive analytics. Google Cloud AI services integrate seamlessly with other GCP services and tools for data preprocessing, training, monitoring, and evaluation. In this chapter, we will cover the following topics:

  • Google Vertex AI: This is a suite of services for users to develop ML models, including data collection, labeling, training, deploying automated machine learning (AutoML), and other...
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