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Sustainable Computing & Green AI

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Sustainable Computing & Green AI

By: Ajit Singh
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We stand at a critical juncture where the exponential growth of digital technology converges with the urgent global imperative for environmental sustainability. "Sustainable Computing & Green AI" is a comprehensive and timely textbook that confronts this reality head-on. It moves beyond the abstract notion of "going green" to provide a rigorous, practical, and actionable framework for engineering a responsible digital future. This book is crafted not just to educate but to empower the next generation of technologists to become conscious creators, capable of building innovative solutions that are powerful, intelligent, and in harmony with our planet.


What This Book Is


This book serves as a foundational text for undergraduate (B.Tech) and postgraduate (M.Tech) students of Computer Science, Information Technology, AI & Machine Learning, and related engineering disciplines. Meticulously designed to be compliant with India’s NEP 2020 and AICTE syllabi, its modular and comprehensive structure also ensures its compatibility with the curricula of international universities. It bridges the gap between theoretical knowledge and practical application, guiding readers from the fundamental principles of energy-efficient hardware to the advanced implementation of a complete Green AI project.


Key Features:


1. Beginner to Advanced Trajectory: The 10-chapter structure provides a logical and seamless learning curve, starting with "what" and "why" before progressing to complex "how-to" implementations, making it suitable for both novices and advanced learners.
2. Hands-On & Practical Focus: Learning is reinforced through code snippets, design walkthroughs, practical examples, and step-by-step implementation guides in every relevant chapter.
3. Real-World Case Studies: Each chapter is enriched with case studies from leading tech companies and research institutions, showcasing how the principles of sustainable computing are being applied in the real world.
4. Complete Capstone Project: The final chapter is a unique, fully-fledged DIY project that walks the reader through building, optimizing, and deploying an energy-aware AI model, complete with all the necessary code and explanations.
5. Simple Language & Clear Examples: Complex topics are broken down into simple, easy-to-understand concepts, illustrated with relatable analogies and real-life examples to ensure clarity and retention.
6. Global Perspective: While aligned with Indian syllabi, the book addresses global challenges, standards, and technological trends, preparing students for international careers.


Who This Book Is For:


1. This book is an essential resource for:
2. Undergraduate Students (B.Tech/B.E.): Students in Computer Science & Engineering, Information Technology, AI & Data Science, and Electronics & Communication.
3. Postgraduate Students (M.Tech/M.E./M.S.): Students specializing in AI, Data Science, Sustainable Systems, and High-Performance Computing.
4. Faculty and Educators: Teachers looking for a structured, modern, and comprehensive textbook for courses on Sustainable Computing, Green IT, and Responsible AI.
5. Researchers and PhD Scholars: Individuals exploring novel techniques and frameworks in the domain of energy-efficient and environmentally-aware computing.
6. Industry Professionals: Software engineers, data scientists, cloud architects, and IT managers who wish to integrate sustainability into their professional practice and design more efficient and responsible systems.
Computer Science Technology Data Science Machine Learning
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