The Self-Taught Cloud Computing Engineer: A Comprehensive Professional Study Guide to AWS, Azure, and GCP

Logan Song

Language: English

Publisher: Packt Publishing

Published: Sep 22, 2023


Begin your exploration into cloud computing by developing deep knowledge of cloud technologies, enhancing hands-on skills, and achieving proficiency in cloud

Key Features

  • Teach yourself all about cloud computing with this easy-to-follow guide
  • Develop a well-rounded skillset-from fundamentals to data, machine learning, and security
  • Work on real life industrial projects, business use cases, and personal cloud career development
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

This book is an all-inclusive guide for IT professionals to master cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. If you're a beginner with basic computer hardware and software understanding, this book provides the means to transitions into a cloud computing career.

Starting with a focus on the Amazon cloud, you'll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you'll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Finally, you'll get guidance on cloud certifications and career development.

Walking through this cloud computing book, you'll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.

What you will learn

  • Develop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCP
  • Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments
  • Integrate cloud databases, big data, and machine learning services in multi-cloud environments
  • Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds
  • Implement machine learning pipelines in multi-cloud environment
  • Secure cloud infrastructure ecosystems with advanced cloud security services

Who this book is for

Whether you're a beginner in cloud computing or an experienced professional seeking to expand your skills, this meticulously designed study book is for anyone in the information technology domain aiming to thrive in the realm of cloud computing. With this comprehensive roadmap, you'll have the tools to build a successful cloud computing career.

Table of Contents

  1. Amazon EC2 and Cloud Compute Services
  2. Amazon Cloud Storage Services
  3. Amazon Cloud Networking Services
  4. Amazon Cloud Database Services
  5. Amazon Cloud Big Data Services
  6. Amazon Cloud Machine Learning Services
  7. Amazon Cloud Security Services
  8. Google Cloud Foundation Services
  9. Google Cloud Data Services
  10. Google Cloud AI Services
  11. Google Cloud Security Services
  12. Azure Cloud Foundation Services
  13. Azure Cloud Data Services
  14. Azure Cloud AI Services
  15. Azure Cloud Security Services
  16. Achieving Cloud Certifications
  17. Building a Successful Cloud Computing Career


“This handy book covers the three major public clouds (GCP, Azure, and AWS), along with a wide variety of their services including AI. Each chapter has excellent explanations with practical commands to try out the services too, ending with self-administered exams to make sure your comprehension of each chapter is thorough.”


Kevin A. McGrail, Cloud Fellow at Dito

“This book transcends mere technical jargon and dives deep into the essence of cloud computing. Logan begins by laying a solid foundation of cloud computing concepts and services, ensuring readers comprehend the fundamentals before embarking on their transformative journey. The exploration commences with an immersive experience within the AWS cloud. The journey continues to Google Cloud, where Logan expertly highlights its similarities and differences from AWS. No comprehensive cloud education would be complete without an examination of Microsoft Azure, and Logan seamlessly integrates Azure into the learning journey. By collating the knowledge acquired about the previous two clouds, readers gain a holistic understanding of cloud computing. But this book goes beyond technical instruction. In its final part, Logan shares his personal cloud journey, where he underwent a profound transformation from a traditional advisory IT infrastructure architect to a chief cloud architect and professor. Through his captivating narrative, he imparts the secret ingredients of his success: a perpetually grateful disposition and an unwavering commitment to lifelong learning.”


Yu Meng | Ph.D, IEEE Senior Member

About the Author

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.