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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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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 Vertex AI

Vertex AI is an integrated set of products, features, and a management interface that simplifies the management of Google Cloud ML services. Vertex AI lets users build, train, and deploy ML models. As shown in Figure 10.1, Vertex AI unifies a set of disparate features and has a user interface that makes it easy to develop and integrate ML-related applications:

Figure 10.1 – Google Vertex AI suite

Figure 10.1 – Google Vertex AI suite

In this section, we will briefly discuss the following Vertex AI concepts first and then spotlight Vertex AI AutoML with a lab to train a simple ML model:

  • Vertex AI datasets
  • Vertex AI dataset labeling
  • Vertex AI Feature Store
  • Vertex AI Workbench and notebooks
  • Vertex AI custom models
  • Vertex Explainable AI
  • Vertex AI prediction
  • Vertex AI model monitoring
  • Vertex AI Pipelines
  • Vertex AI TensorBoard
  • Vertex AI Metadata
  • Vertex AI AutoML

Let us start looking at Vertex AI by looking at...

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