AI and Cloud Native Software Engineering by Pethuru Raj Chelliah(.PDF)
File Size: 10 MB
AI and Cloud Native Software Engineering: Building enterprise-scale cloud-native applications with AI-integrated software engineering workflows by Pethuru Raj Chelliah, Kavita Saini, Rani Kumari
Requirements: .ePUB, .PDF reader, 10 MB | True EPUB, PDF (conv)
Overview: Artificial Intelligence (AI) is the driving force behind the next generation of software, transforming how we build, deploy, and manage cloud-native applications. This book explores the powerful convergence of Artificial Intelligence, Machine Learning, and cloud-native software engineering, offering readers a practical understanding of how modern technologies are transforming software development. It highlights how AI-driven approaches are enhancing productivity, improving decision-making, and enabling smarter, scalable systems. Readers will gain insights into how Artificial Intelligence empowers software engineering practices, including intelligent automation, predictive analytics, and improved software quality. The book also covers emerging areas such as Generative AI for source code creation and advanced AI tools that assist developers in writing, optimizing, and maintaining code efficiently. By the end of this book, readers will possess a comprehensive roadmap for upgrading their technical skills and adapting to the rapid evolution of industry demands. Readers will be equipped to enhance their professional impact by strategically leveraging AI-enabled tools, accelerating development lifecycles, and building innovative, cloud-native applications with confidence. This book is for students, software developers, data scientists, cloud engineers, and IT professionals who want to integrate AI and ML into modern software development practices. It is also valuable for tech leads, researchers, and architects aiming to build scalable, intelligent, and cloud-native applications in evolving industry environments.
Genre: Non-Fiction > Tech & Devices

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