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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

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781805123705

Length 480 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Author (1):

Dr. Logan Song

View More author details

Table of Contents (24) Chapters

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

Why subscribe?

23. Other Books You May Enjoy

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Authors (1)

Dr. Logan Song

Dr. Logan Song

Dr. Logan Song is the enterprise cloud director and chief cloud architect at Dito. With 25+ years of professional experience, Dr. Song is highly skilled in enterprise information technologies, specializing in cloud computing and machine learning. He is a Google Cloud-certified professional solution architect and machine learning engineer, an AWS-certified professional solution architect and machine learning specialist, and a Microsoft-certified Azure solution architect expert. Dr. Song holds a Ph.D. in industrial engineering, an MS in computer science, and an ME in management engineering. Currently, he is also an adjunct professor at the University of Texas at Dallas, teaching cloud computing and machine learning courses.

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