Cloud Computing Essentials

Cloud computing has become the essential foundation for modern digital transformation, enabling businesses to scale rapidly and innovate through on-demand technology. This book is an all-encompassing guide designed to empower IT professionals and beginners alike with the knowledge and skills needed to master cloud computing.

This book offers a user-friendly approach to learning, covering everything from fundamental concepts to advanced techniques across major cloud platforms like AWS, Azure, and Google Cloud. You will master core infrastructure like EC2 and Kubernetes while exploring advanced security, data management, and automated machine learning pipelines specifically within the Azure ecosystem. It further addresses multi-cloud strategies, hybrid infrastructure, and real-world projects essential for enterprise environments. Every chapter combines technical knowledge with certification guidance, offering a complete roadmap to success in the evolving cloud landscape.

By the end of this book, you will possess a professional-grade understanding of the global cloud market and the technical competence to deploy secure, AI-enhanced solutions. You will be fully prepared to navigate complex cloud architectures and advance your career in this high-growth industry.

WHAT YOU WILL LEARN
● Analyze virtualization layers and architectural components.
● Implement AWS global infrastructure.
● Configure Azure Active Directory.
● Orchestrate containerized applications using Amazon EKS.
● Scale ChatGPT on cloud infrastructure.
● Design hybrid cloud architectures.
● Build an automated machine learning pipeline.

WHO THIS BOOK IS FOR
This book caters to beginners and experienced professionals, including software engineers, data scientists, and system architects. No prior cloud experience is required, though basic technical literacy helps. It is ideal for the existing workforce aiming to master modern cloud-native infrastructures.

1. Introduction to Cloud Computing
2. Fundamentals of Cloud Computing
3. Amazon Web Services Fundamentals
4. Advanced AWS Services
5. Microsoft Azure Fundamentals
6. Advanced Azure Services
7. Google Cloud Platform Fundamentals
8. Advanced Google Cloud Platform Services
9. Cloud Computing Security in Azure
10. Data Management in Azure Cloud
11. Machine Learning in Azure
12. Multi-cloud and Hybrid Cloud Strategies
13. Designing and Developing Data Pipelines in Azure
14. Implementing Machine Learning Pipelines in Azure
15. Cloud Computing Career Pathways
16. Integrating Cloud Computing with ChatGPT

Pradeep Shankar Chintale is a distinguished senior DevOps engineer with over 18 years of experience designing secure, scalable, and highly automated cloud and DevOps ecosystems. He has held senior technical leadership roles at SEI Investments, Microsoft, and Comcast, where he architected mission-critical fintech and enterprise platforms supporting millions of users and major U.S. financial institutions. His expertise spans Kubernetes, cloud-native DevOps, AI/ML-driven automation, infrastructure-as-code, and high-availability architectures across private and public cloud environments.

Pradeep holds multiple global patents in AI-powered cybersecurity, including a Germany- registered utility model cited internationally and licensed to U.S. companies. He serves as a judge and technical reviewer for the international hackathon, AIVA, IEEE, and Springer conferences, having reviewed more than 200 research papers and chaired numerous sessions. An accomplished author, his book DevOps Design Pattern has been featured at international book fairs and accepted by leading universities worldwide. He also serves on multiple advisory boards and mentors global startups in cloud, DevOps, AI, and cybersecurity innovation.