The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP

The Self-Taught Cloud Computing Engineer by Dr. Logan Song is one of the most comprehensive and practical cloud learning resources I’ve ever used. The book takes you from foundational computing concepts all the way through advanced topics across AWS, Azure, and Google Cloud. What impressed me most is how clearly Dr. Song breaks down even the most complex technologies- compute, storage, networking, security, big data, and AI-into simple, actionable steps. Whether you’re a beginner or already working in tech, this book gives you both the clarity and confidence to grow. Each chapter includes real-world explanations, hands-on exercises, diagrams, and certification-style practice questions. The structured, multi-cloud approach is incredibly valuable. Instead of focusing on just one platform, Dr. Song teaches you how the major cloud providers compare, where they differ, and how to navigate all three with ease. This makes the book not just a study guide, but a true roadmap for becoming a well-rounded cloud professional. As someone who had the privilege of being Dr. Logan Song’s student at UT Dallas, I can say that this book captures his teaching style perfectly-clear, encouraging, and deeply knowledgeable. In class, he always emphasized practical understanding, hands-on learning, and building a strong foundation. Reading this book felt like being right back in his lectures. His passion for helping students succeed shines through every page, especially in the career advice and personal journey he shares in the final section. Overall, this is an exceptional resource for anyone pursuing a cloud career. It’s not just a technical manual-it’s guidance, mentorship, and inspiration wrapped into one. I highly recommend it to students, self-learners, and professionals at any stage of their cloud journey.

As someone venturing into the realm of cloud computing, "The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP" has been an absolute game-changer for me. Authored by Dr. Logan Song, with a foreword by Yu Meng, this book offers a comprehensive and detailed exploration of the core concepts and practical applications of cloud computing across three major platforms: AWS, Azure, and GCP. One of the standout features of this book is its structure. Dr. Song has meticulously organized the content in a logical progression, starting from the fundamentals and gradually delving into more advanced topics. Whether you're a beginner looking to grasp the basics or a seasoned professional aiming to deepen your expertise, this book caters to a wide range of skill levels. The clarity of explanation is another aspect that deserves commendation. Complex concepts are broken down into digestible chunks, accompanied by real-world examples and hands-on exercises. Dr. Song's writing style is both engaging and accessible, making even the most intricate topics easily understandable. Moreover, the inclusion of practical exercises and case studies sets this book apart from others in the field. By providing opportunities for hands-on practice, Dr. Song ensures that readers not only grasp theoretical concepts but also develop the practical skills necessary to thrive in a real-world cloud computing environment. Additionally, the inclusion of case studies offers valuable insights into how cloud computing is applied in different industries, further enhancing the book's practical relevance. Overall, I wholeheartedly recommend this book to anyone looking to embark on a journey into cloud computing or enhance their existing skills in the field. Dr. Logan Song has crafted a masterpiece that combines comprehensive coverage, clear explanations, practical exercises, and real-world insights, making it an invaluable resource for aspiring cloud engineers.

As a graduate student in an MS in Information Technology and Management (ITM) program, I found Dr. Logan Song's The Self-Taught Cloud Computing Engineer to be the single most effective resource for bridging cloud theory with professional application. If you are looking to move beyond single-vendor certifications and truly understand the multi-cloud reality of the enterprise world, this book is essential. Key Strengths that Set This Book Apart: The book's comprehensive, three-part structure is its greatest asset, offering a systematic path to expertise: Deep Dive into AWS: It starts with a strong foundation in AWS, meticulously covering core services (EC2, S3, VPC) before moving into advanced domains like Big Data (Glue, EMR), Database management, and critically, a robust exploration of security and networking. This provides a deep understanding of the market leader. GCP Services: It efficiently maps AWS concepts to their GCP equivalents (Compute Engine, Cloud Storage), highlighting Google’s unique strengths in data analytics and state-of-the-art AI services (Vertex AI). Azure Integration: The final section applies this comparative methodology to Azure, ensuring you can recognize common cloud patterns while mastering Azure’s unique features and strong enterprise integration capabilities. High Practical and Pedagogical Value: Unlike many dry study guides, this book is designed for practical skill development. Each chapter includes practice questions and focuses heavily on industrial projects, business use cases, and career development guidance. It doesn't just teach you what the services are; it teaches you the why and how of cloud architecture and strategy, a crucial perspective for anyone moving into management or senior engineering roles. Conclusion: Dr. Song and his team have created a clear, comprehensive, and highly practical roadmap for cloud mastery. Whether you are a beginner with basic computing knowledge or an experienced practitioner aiming to deepen your multi-cloud proficiency and secure certifications, this book is mandatory reading. It is truly the best single guide for transitioning into a certificate-equipped, cloud-savvy professional.

As I ventured into the world of cloud computing with Dr. Logan Song's "The Self-Taught Cloud Computing Engineer," I immersed myself in a detailed and comprehensive AWS Content Synopsis that skillfully demystified Amazon Web Services. The book begins by laying a solid foundation of cloud concepts before advancing to the vast landscape of AWS services. The straightforward, systematic approach in these initial chapters makes it accessible for beginners and a structured refresher for the experts. The Takeaways from the Book are manifold. Dr. Song's straightforward explanation of complex cloud services, especially AWS, struck me as educational and practical. The book goes beyond theory, integrating real-world applications that bring to life the functionalities of AWS in varied industrial contexts. The exploration of AWS’s advanced features showcases the platform's robustness and solidifies the reader's understanding of data management and cloud infrastructure security. In Authorial Personal Additions, I would focus on enhancing the reader’s awareness of the cost implications associated with cloud services. A dedicated section on AWS cost optimization and management would be precious. Additionally, the cloud landscape is perpetually evolving; thus, a chapter dedicated to upcoming trends and future projections for AWS would be beneficial. Lastly, supplementing the book with an appendix featuring diverse case studies could showcase AWS's adaptability in multiple industries, serving as a rich source of inspiration and practical guidance. Reflecting on the book, I see that it serves not just as an educational resource but as a mentorship experience in written form. It builds your knowledge base and then pushes you to apply what you’ve learned to real-world scenarios, which is crucial for understanding the full potential of AWS. This book is a valuable asset for anyone looking to enter the realm of cloud computing or enhance their AWS expertise. It has earned its place on my shelf and in my professional toolkit. It warrants a 5-star review for its thorough and approachable content and the confidence it instills in its readers to become proficient cloud computing engineers. - Mounika Addula

Dr. Logan Song’s "The Self-Taught Cloud Computing Engineer" is an exceptional resource that delivers a comprehensive, structured approach to mastering cloud computing across the three leading platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. The book’s syllabus reveals a well-thought-out progression of topics, ensuring a strong foundation while seamlessly transitioning to advanced cloud concepts. Key Strengths: Comprehensive Coverage of AWS: The book begins with AWS, offering an in-depth exploration of its key services. Starting with EC2 and compute services, readers are guided through practical setups such as launching EC2 instances via CloudShell and configuring load balancers (ELB) and auto-scaling groups (ASG). The chapters effectively demystify complex topics like virtual private clouds (VPC), CIDR blocks, and advanced networking with security groups and firewalls. Additionally, AWS storage solutions (EBS, S3, and EFS) and container services (ECS and EKS) are explained in detail, making the content practical for real-world applications. Deep Dive into GCP: The GCP section provides insights into foundational services like Google Kubernetes Engine (GKE), Cloud Storage, and its database solutions. The chapters highlight advanced big data capabilities through tools like BigQuery, Pub/Sub, and Dataflow, which are pivotal for modern data analytics. This section bridges technical knowledge with applied use cases, ensuring readers are well-prepared to leverage GCP’s scalable and cost-effective infrastructure. Exhaustive Azure Insights: The Azure chapters stand out for their comprehensive coverage of Microsoft’s ecosystem. The syllabus outlines key areas such as Azure’s cloud storage options, data analytics tools (HDInsight, Databricks, and ADF), and AI services like Azure OpenAI and ML workspaces. Security is thoroughly addressed, covering IAM, SIEM, SOAR, and hybrid cloud implementations, making this section a valuable guide for Azure practitioners. Machine Learning and Security Focus: A dedicated section on machine learning walks readers through ML pipelines, data preparation, and deployment. It also delves into SageMaker, GCP AI tools, and Azure ML workspaces, providing readers with a competitive edge in integrating AI solutions into their projects. Security chapters across all platforms—spanning IAM, encryption, threat detection, and monitoring—equip readers with essential knowledge to safeguard cloud environments. Practical Learning Approach: Each chapter incorporates practice questions, case studies, and quizzes, enabling readers to reinforce their learning. This interactive methodology ensures mastery of the concepts and prepares readers for real-world challenges and certification exams. Career Development Guidance: The final section on certifications and career-building strategies is a highlight, offering roadmaps for AWS, Azure, and GCP certifications alongside tips for breaking into the cloud computing job market. The book also includes a case study, making it particularly relevant for aspiring professionals. Why This Book Stands Out: Dr. Logan Song achieves a remarkable balance between theoretical explanations and practical applications. The neutral treatment of AWS, GCP, and Azure ensures a well-rounded perspective, empowering readers to evaluate the strengths and best-use cases of each platform. This makes the book suitable for cloud engineers, IT professionals, and students alike. In conclusion, "The Self-Taught Cloud Computing Engineer" is a masterfully crafted guide that serves as a one-stop resource for anyone looking to thrive in the cloud computing field. From foundational concepts to advanced services, this book prepares readers not just to understand cloud technologies but to excel in leveraging them for impactful solutions.

Many beginners often feel overwhelmed and confused by AWS jargon, but this book does an excellent job of breaking everything down and building strong, clear foundations from the very beginning. It explains complex cloud concepts in a way that is easy to understand, helping readers avoid costly mistakes that usually happen due to lack of clarity. The content is completely up to date, covers a wide range of essential cloud computing topics, and is structured in a very simple, step-by-step, and beginner-friendly manner. What makes this book truly special is how readable and well-organized it is, making it feel less like a technical textbook and more like a guided learning journey. Because of this, it stands out as one of the best self-taught cloud computing books available today. I genuinely loved reading it and would highly recommend it to anyone starting their cloud journey.

The Self-Taught Cloud Computing Engineer by Logan Song is one of the most practical and beginner-friendly books I have read about cloud computing. As a student learning cloud concepts for the first time, I appreciated how clearly the author introduces the fundamentals without assuming deep technical knowledge. The writing style is simple, direct, and focused on real examples instead of abstract theory. The book explains core topics like virtualization, IaaS vs PaaS vs SaaS, cloud security basics, cloud architecture, and networking in a way that feels natural for beginners. I especially liked the hands-on focus. Instead of only discussing AWS services, Logan Song guides readers step-by-step through how EC2, S3, IAM, and VPC work together in real scenarios. The book also highlights DevOps tools such as Docker, CI/CD, and Linux skills, which helped me understand how cloud engineering and DevOps connect in modern companies. My favorite part of the book is the career roadmap. The author gives honest advice about certifications, building a portfolio, and preparing for entry-level jobs. It feels like getting guidance from someone who started with no experience and succeeded through self-learning. I strongly recommend this book to students and anyone entering cloud engineering from a non-technical background.

Dr. Logan Song's *The Self-Taught Cloud Computing Engineer* is an indispensable resource for those looking to navigate the dynamic world of cloud computing. This well-organized guide provides both novices and seasoned professionals with a thorough understanding of the major cloud platforms—AWS, Azure, and GCP. Dr. Song excels in translating complex theories into easily understandable concepts, supported by real-world examples that help solidify the reader's understanding. His practical approach is further enhanced by quizzes and exercises at the end of each chapter, which reinforce the concepts covered. The book is structured to cater to all levels of expertise, beginning with foundational topics that set a solid base for beginners. It gradually transitions to more advanced subjects, such as databases, machine learning, and security, offering valuable insights for more experienced professionals. One of the book’s most notable features is its impartial treatment of the three leading cloud platforms. Dr. Song avoids promoting one platform over another, instead offering a balanced comparison that outlines the strengths and ideal use cases of AWS, Azure, and GCP. This allows readers to make informed choices tailored to their specific needs, whether for personal projects or career advancement. When delving into Amazon's cloud services, Dr. Song takes a hands-on approach using the AWS console and CloudShell, providing practical guidance on key concepts like high availability through Elastic Load Balancers and Auto Scaling Groups. The book covers everything from virtual machines (EC2) to containers and serverless computing, introducing AWS services such as ECS, EKS, and Lambda. Readers also gain a comprehensive understanding of cloud infrastructure essentials, including Availability Zones, instance types, storage options (EBS, EFS, S3), security groups, CIDR blocks, VPC peering, and security best practices. In conclusion, *The Self-Taught Cloud Computing Engineer* by Dr. Logan Song is a stellar resource for anyone beginning their cloud computing journey. Its clear explanations, hands-on exercises, and unbiased platform comparisons make it an invaluable guide for both beginners and seasoned professionals eager to expand their expertise in this rapidly evolving field.

Dr. Logan Song's "The Self-Taught Cloud Computing Engineer" is an exceptional guide for anyone seeking to enter the rapidly expanding field of cloud computing. This comprehensive book covers the fundamentals of cloud computing, providing a thorough understanding of the three major cloud platforms – Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Song's expertise shines through in his clear and concise explanations of complex concepts. He breaks down each topic into manageable chunks, making it easy for even beginners to grasp the intricacies of cloud computing. The book is filled with practical examples and hands-on exercises, allowing readers to apply the knowledge they gain and gain valuable experience. What truly sets this book apart is its focus on self-paced learning. Song encourages readers to take ownership of their learning journey, providing them with the tools and resources they need to succeed. He includes chapter summaries, self-assessment quizzes, and links to additional learning materials to ensure that readers have a strong foundation in cloud computing. Whether you're a complete novice or an aspiring cloud professional, "The Self-Taught Cloud Computing Engineer" is an invaluable resource. Song's expert guidance and practical approach will equip you with the knowledge and skills you need to navigate the ever-evolving landscape of cloud computing. Here are some of the key features that make this book so effective: Comprehensive coverage of cloud computing fundamentals Clear and concise explanations of complex concepts Practical examples and hands-on exercises Self-paced learning approach with chapter summaries, self-assessment quizzes, and additional learning resources Focus on the three major cloud platforms – AWS, Azure, and GCP If you're looking to gain a solid understanding of cloud computing and launch a successful career in this field, "The Self-Taught Cloud Computing Engineer" is the perfect guide for you.

The book is full of very well designed practice exercises, but they may sound a bit cryptic if you have zero knowledge of the Cloud: it is best to learn a few fundamentals first.

This book serves as a comprehensive guide for IT professionals aiming to master cloud computing concepts. It facilitates the development of a broad and deep understanding of cloud computing by offering practical insights and hands-on skills. If you're a beginner with basic computer hardware and software knowledge, this book offers a pathway to transition into a cloud computing career. Beginning with a focus on the Amazon cloud, the book delves into advanced AWS cloud services in areas such as data, machine learning, and security. It then guides readers through the exploration of Microsoft Azure cloud and Google Cloud Platform (GCP), highlighting commonalities, differentiating features, and real-life project implementations on these platforms. Throughout the book, the author, L. Song, provides a step-by-step discussion of Amazon EC2 instances using the AWS cloud console and CloudShell command lines. Concepts like the "cattle in a herd" analogy are elucidated through practical implementation using ELBs and ASGs. The book extends its coverage from EC2 (VM) to container and serverless concepts, briefly discussing Amazon's ECS, EKS, and Lambda services. Clear understanding is fostered in topics such as Availability Zones, AWS cloud compute spectrum, EC2, Container (ECS), Kubernetes (EKS), Lambda (Serverless), AWS Storage (Elastic Block Storage, Elastic File Storage, Simple Storage Service - S3), SG, CIDR, VPC Peering, VPC Security, and GCML. Nevertheless, there are opportunities for improvement in specific areas. The inclusion of practical examples and real-world case studies could elevate engagement and applicability. Furthermore, integrating advanced topics, tips, and best practices would offer readers aspiring to gain a profound understanding of AWS valuable insights. Enhancing these elements would significantly contribute to the overall effectiveness of the book.

This book is like a step by step instruction manual to work with AWS. I am not sure how it justifies even remotely its title. I am new to cloud engineering and I gave up after 5 pages. Plenty of environment images with steps and no effort to provide an understanding of what is cloud engineering. I don’t recommend it…

As a student in the world of Information Technology and Management, I can confidently say that Dr. Logan Song's 'The Self-Taught Cloud Computing Engineer' is an indispensable asset in navigating the complexities of cloud platforms. What sets this book apart is its holistic approach, covering not just AWS, but also Azure and GCP with equal depth. What resonated with me most was Song's emphasis on practical applications. Each concept is not just explained theoretically but also accompanied by real-world examples and hands-on exercises, which greatly enhances comprehension and retention. This hands-on approach mirrors the learning style prevalent in today's tech industry, making it an ideal companion for aspiring cloud engineers. Moreover, Dr. Logan Song's insights into career development are invaluable. From understanding the nuances of each platform to mastering essential skills like automation and security, Additionally, the book also covers important recent trends like machine learning and AI, providing a comprehensive understanding of cutting-edge technologies, this book equips readers with the tools necessary to thrive in a rapidly evolving field. Whether you're a seasoned IT professional looking to upskill or a student like myself preparing to enter the workforce, 'The Self-Taught Cloud Computing Engineer' is a definitive guide that promises to not only deepen your understanding of cloud computing but also pave the way for a successful career in the IT industry.