Showing results by author "Ajit Singh" in All Categories

This textbook, "Neuromorphic Computing," has been meticulously crafted to serve as a comprehensive guide for undergraduate (B.Tech) and postgraduate (M.Tech) students, as well as researchers and professionals eager to delve into this revolutionary domain. Recognizing the global and rapidly evolving nature of this field, the content herein is designed to be strictly compatible with the forward-looking National Education Policy (NEP) 2020 of India, the All India Council for Technical Education (AICTE) model syllabus, and the core curricula of leading universities worldwide. My goal is to ...

"Data Governance for AI" is a comprehensive textbook and practical guide designed for university students and aspiring professionals. It systematically addresses the critical discipline of governing data assets for the successful and responsible development of Artificial Intelligence systems. Philosophy The core philosophy of this book is that effective data governance is an enabler, not a constraint, for innovation in AI. We treat data governance not as a bureaucratic overhead but as a strategic imperative that builds trust, mitigates risk, and directly enhances the performance and ...

"Cybercrime and Pattern Analysis Using Gen AI" is a comprehensive textbook and practical guide designed for the modern era of cybersecurity. It systematically explores the application of cutting-edge Generative AI techniques to detect, analyze, and proactively defend against a wide spectrum of cyber threats. Philosophy The core philosophy of this book is that cybersecurity must evolve from a reactive posture to a proactive and intelligent one. Traditional security measures are failing because they are designed to recognize known threats. Modern adversaries, however, create unknown threats. ...

Software is the backbone of the modern world, yet its construction often relies more on craft and convention than on rigorous engineering. While traditional software development lifecycles incorporate extensive testing and quality assurance, these practices are fundamentally reactive—they are designed to find bugs that have already been written into the code. This book, "Formal Methods in Software Engineering," introduces a proactive, engineering-driven approach to building software that is correct by design. It is built to bridge the long-standing gap between the immense power of formal ...

This book is designed to be a direct and practical guide to designing, building, and deploying cloud-native applications. It bridges the critical gap between theoretical computer science concepts and the hands-on, tool-centric skills demanded by the modern technology industry. You will synthesize every skill you have acquired—from microservice design and containerization to CI/CD and observability—to execute a complete, end-to-end monolith-to-microservices transformation. You will deconstruct the limitations of monolithic design and internalize the core principles of microservices and ...

This book is written from the ground up to serve as a comprehensive, implementation-driven guide to the worlds of DevOps & Site Reliability Engineering (SRE). It is designed to bridge the critical gap between academic computer science theory and the practical, in-demand skills required to build, deploy, and maintain modern, scalable software systems. Philosophy: Competence Through Implementation The guiding philosophy of this book is "competence through implementation." DevOps & Site Reliability Engineering are not spectator sports. They are hands-on disciplines where value is created by ...

"Architecting Intelligence: The New Blueprint for Application Development" is a comprehensive, practical, and forward-looking guide designed to equip the next generation of software engineers, architects, and technology leaders with the skills to build intelligent applications in the AI-driven era. This book systematically deconstructs the entire lifecycle of a modern, AI-native application, from conceptualization and design to deployment and future-proofing. Philosophy The core philosophy of this book is that "intelligence" is no longer a bolt-on feature but an architectural first ...

This book, "Artificial Intelligence in Civil Engineering," is born out of the pressing need to equip the next generation of civil engineers—and indeed, practicing professionals—with the knowledge and skills to navigate and lead this transformation. "Artificial Intelligence in Civil Engineering: Bridging Bytes and Beams for a Smarter, Sustainable Future" is a comprehensive textbook designed to introduce undergraduate (B.Tech) and postgraduate (M.Tech) students, as well as practicing civil engineers and researchers, to the transformative potential of Artificial Intelligence (AI) in the ...

This book is crafted to be a comprehensive, single-point resource for B.Tech and M.Tech students in India and across the globe. We recognize that the principles of building scalable, efficient, and reliable data systems are universal. Therefore, while grounding our examples in a context that is relatable and accessible, we have aligned the curriculum with the syllabi of leading international universities. The technologies discussed—from Apache Spark and Kafka to cloud platforms like AWS, Azure, and GCP—are the global industry standard. Key Features: 1. Practical-First Approach: Every ...

"Optical Computing" provides a comprehensive and accessible pathway into the next generation of high-performance computing. This book demystifies the intricate world of photonics, presenting a clear and structured exploration of how light (photons) can be used to perform computations at speeds and efficiencies unattainable by traditional electronics. Moving beyond pure theory, this text is designed as a practical guide for students and professionals to understand, design, and simulate fundamental optical computing systems. Key Features: 1. Comprehensive Coverage: Ten logically structured ...

The Co-Pilot Engineering: Building the Digital Second Brain" is a comprehensive, hands-on guide designed to equip students and professionals with the end-to-end skills required to design, build, and deploy sophisticated AI-powered Co-Pilots. In an era where generative AI is reshaping industries, this book provides the essential engineering roadmap to harness its power effectively. It bridges the critical gap between understanding AI theory and applying it to create practical, value-driven applications. Philosophy The core philosophy of this book is "Learning by Building." We believe that ...

"Artificial Intelligence for Excel: Architecture, Models, and Implementation" is a comprehensive textbook designed to revolutionize the way Computer Science students and professionals approach Data Science. In an era where Artificial Intelligence (AI) is redefining industries, this book serves as a crucial bridge, connecting the theoretical rigor of academic computer science with the practical, ubiquitous utility of Microsoft Excel. Why This Book? While many books teach AI using complex IDEs like PyCharm or Jupyter Notebooks, they often alienate beginners. Conversely, Excel books rarely ...

"Quantum AI: Beyond the Bit" is a comprehensive, application-focused textbook designed to equip computer science students and developers with the practical skills needed to build applications at the intersection of quantum computing and artificial intelligence. This book demystifies Quantum AI by treating it as an engineering discipline. It eschews dense theoretical physics in favor of a clear, step-by-step methodology for designing, coding, and implementing quantum-enhanced machine learning models. We start with a simple question—"How can we use a quantum computer to solve an AI problem?...

"Temporal AI: Mastering Time-Series with Foundation Models" is a comprehensive, practical-first guide designed to equip readers with the knowledge and skills to leverage cutting-edge AI techniques for time-series analysis and forecasting. The ability to understand and predict the future based on the past is one of the most critical challenges in data science. From forecasting energy demand to prevent blackouts, to predicting stock prices for financial stability, time-series data is the lifeblood of intelligent decision-making. This book is not merely a theoretical overview; it is a ...

"The Data Lakehouse" provides a comprehensive, principles-first, and hands-on guide to the most significant architectural shift in the data industry in the last decade. This textbook demystifies the Data Lakehouse paradigm, which unifies the capabilities of data lakes and data warehouses to create a single, simplified, and powerful platform for all data, analytics, and AI workloads. Key Features: 1. Globally Relevant: The content, technologies (Apache Spark, Delta Lake), and architectural patterns are universally applicable, making it compatible with the syllabus of international ...

"MLOps and Infrastructure Technologies" is a comprehensive, practical, and accessible guide designed to demystify the complex process of taking machine learning models from concept to production. In an era where AI is redefining industries, the ability to build, deploy, and manage ML systems at scale is no longer a niche skill but a fundamental requirement for technology professionals. This book serves as a definitive resource for students and aspiring engineers, providing the foundational knowledge and hands-on skills needed to excel in the dynamic field of MLOps. Key Features: 1. Beginner...

This book serves as a comprehensive and practical guide to the fascinating intersection of Artificial Intelligence (AI) and Web3 technologies. It is designed to bridge the gap between the theoretical potential of autonomous, decentralized agents and the practical skills required to design, build, and deploy them. Philosophy: The core philosophy of this book is that the next evolution of the internet will be defined by autonomous agency. I believe that by combining the cognitive power of AI with the trustless, transparent, and sovereign foundation of Web3, we can create a new class of ...

This book, "AI-Driven Development," is written from the necessity to bridge the gap between traditional software engineering principles and this exciting new frontier. As educators and practitioners, I observed a burgeoning demand for a structured, accessible, and practical guide that could demystify AI's role in the software development lifecycle (SDLC). I wanted to create a resource that empowers the next generation of developers not to fear automation, but to harness it; to see AI not as a competitor, but as the most powerful collaborator they will ever have. Key Features of This Book: 1...

About the Book "Xenobot: The Living Machine" is a comprehensive, practical-first textbook designed to introduce B.Tech and M.Tech students of Computer Science to the cutting-edge field of AI-designed living organisms. It bridges the gap between biology and computation, presenting Xenobots as an engineering discipline that can be understood, modeled, and designed using core computer science principles. Philosophy The core philosophy of this book is "From Theory to Application." I believe that a complex, interdisciplinary subject like Xenobots is best understood not through abstract theory, ...

This book, "Design and Modeling Vector Database," provides a comprehensive, hands-on, and academically rigorous introduction to the world of vector databases. It is designed to serve as the primary textbook for undergraduate and postgraduate courses on modern database systems, AI/ML engineering, and data science. Philosophy: My core philosophy is "Learn by Building." I believe that the most profound understanding comes from bridging the gap between theory and practice. This book demystifies the magic behind AI-powered search and retrieval by breaking down complex systems into their ...