Showing results by author "Ajit Singh" in All Categories

"Wetware Computing: The Convergence of Synthetic biology and AI" is a comprehensive and practical guide designed to introduce computer science students and professionals to the cutting-edge field of biological computation. This book serves as both a textbook and a hands-on manual, systematically bridging the gap between digital computing and the molecular world of synthetic biology. It is written with the core belief that the future of advanced computation lies in harnessing the unparalleled efficiency and complexity of living systems. Philosophy The guiding philosophy of this book is "...

Large Language Models is an in-depth, academically grounded exploration of one of the most transformative developments in Artificial Intelligence: the emergence and evolution of large language models (LLMs). Authored by Ajit Singh—an experienced educator, researcher, and technologist—the book offers a balanced fusion of theoretical clarity and real-world relevance, serving as both a foundational textbook and a practical guide for students, educators, and AI enthusiasts. The book is designed with an academic audience in mind, particularly B.Tech, M.Tech, MCA, and other undergraduate and ...

This book, "Phenomenal Engineering: Beyond AI," serves as a comprehensive, university-level textbook designed to introduce and codify the emerging discipline of engineering subjective, conscious experience. It is structured for B.Tech and M.Tech Computer Science curricula and is built on a philosophy of practical application and implementation over abstract theory. Philosophy The core philosophy of this book is that subjective experience, or "qualia," can be treated as a formal, engineerable system. For decades, Artificial Intelligence has focused on replicating the outputs of intelligence:...

"Hands-on Large Language Models from Scratch" is a practical guide designed to transition the reader from a theoretical understanding of AI to a functional capability in building and deploying Large Language Models. This book is engineered to be a comprehensive, step-by-step manual for students and developers. Philosophy The core philosophy of this book is learning by doing. I believe that true comprehension in a technical field is achieved not by passive reading but by active implementation. Every chapter is structured around a practical outcome, where theoretical concepts are introduced ...

"IT Project Management" is a comprehensive, university-level textbook meticulously crafted for the next generation of technology leaders. It is designed for computer science and information technology curricula, providing a rigorous and uniquely practical exploration of IT project management principles by placing software—its design, architecture, and development—at the very heart of the discipline. This text fundamentally repositions the subject from a business process to a software engineering challenge. It provides a rigorous and practical exploration of IT project management ...

"The Internet of Bio-Things" is a comprehensive, practical, and implementation-oriented textbook designed to guide students and professionals through the fascinating and rapidly evolving world of IoBT. It serves as both a foundational learning resource and a hands-on manual for designing and building real-world IoBT applications. Philosophy The core philosophy of this book is that the most profound way to understand a technology is to build with it. The Internet of Bio-Things represents the ultimate convergence of the digital, physical, and biological realms. It is not merely an extension ...

This book provides a comprehensive, practical, and principles-driven guide to implementing Site Reliability Engineering (SRE) for applications powered by Generative AI and Large Language Models (LLMs). It is designed to serve as a core textbook for university courses and a vital handbook for industry professionals. Philosophy: The core philosophy of this book is "Reliability by Design for the AI Era." We posit that the non-deterministic, complex, and often opaque nature of GenAI systems demands a new, integrated approach to reliability. It is not enough to simply "bolt on" monitoring to a ...

This textbook, "Reinforcement Learning," is conceived with the vision of providing a comprehensive, accessible, and contemporary introduction to this fascinating field. It is meticulously designed to cater to the learning needs of undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Artificial Intelligence, Data Science, and related engineering disciplines. Recognizing the evolving landscape of technical education, this book is strictly aligned with the ethos of the National Education Policy (NEP) 2020 and the guidelines set forth by the All India Council for ...

"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 ...

This book, "Agentic RAG," is crafted to serve as a comprehensive guide to this transformative domain. Recognizing the critical need for an educational resource that bridges theoretical foundations with practical applications, we have meticulously structured this text to cater to both beginners taking their first steps into the world of LLMs and advanced learners seeking to master the intricacies of agentic systems. Key Features: 1. Comprehensive Coverage, Simplified Explanations: This book covers foundational concepts of LLMs and RAG, progressing to advanced topics in Agentic RAG, including...

"Mastering LLM Application Development from Scratch" is a comprehensive, hands-on guide designed to take you from foundational concepts to the successful deployment of a fully functional, scalable, and reliable application powered by Large Language Models. This book is engineered to be a practical toolkit rather than a theoretical treatise. It is an intensely practical, hands-on guide engineered for the modern builder: the student, developer, and architect who seeks to move beyond the theoretical and master the end-to-end craft of creating real-world applications with Large Language Models....

The book begins with a gentle introduction to SQL, assuming no prior knowledge, and builds a strong foundation through practical, real-world examples drawn from e-commerce, finance, and logistics. You won’t just learn syntax; you will learn how to solve realistic problems. From there, the book seamlessly transitions into the core focus: the powerful synergy between SQL and AI. You will learn how to leverage your SQL skills to prepare data for machine learning models and, more importantly, how to use AI to make your interaction with databases faster, more intuitive, and infinitely more ...

This book provides a structured and comprehensive exploration of Edge Computing, a pivotal technology shaping the future of digital infrastructure. It is designed from the ground up to serve as a primary textbook for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, and related engineering disciplines. Philosophy The core philosophy of this book is "learning by building." We believe that a deep and lasting understanding of a complex technology like edge computing comes not just from reading about it, but from actively engaging with its ...

Mastering GraphRAG: From Theory to Production with Neo4j" is a comprehensive, hands-on guide designed to take you from a novice to an expert in building sophisticated AI applications that leverage the power of knowledge graphs. The core premise of this book is that the future of AI lies in its ability to understand and reason over connected data. I methodically deconstruct every component of a GraphRAG system—from data modeling and ingestion to advanced retrieval and production deployment—ensuring a deep conceptual understanding backed by immediate practical application. Using Neo4j, ...

This book, "Vector Databases: The Engine of the AI Revolution," is born from the necessity to bridge this gap. It is written for the next generation of engineers, data scientists, and innovators—the students of today who will build the intelligent systems of tomorrow. The focus is no longer just on theoretical knowledge, but on practical application, critical thinking, and multidisciplinary problem-solving. This book embodies that spirit. Who is this book for? 1. B.Tech and M.Tech Students in Computer Science, IT, and AI/ML specializations 2. Aspiring AI/ML Engineers and Data Scientists ...

In an era defined by the fusion of Artificial Intelligence and Cloud Computing, a new technological paradigm has emerged: Cloud 3.0. This is an ecosystem where the infrastructure is no longer just a passive host for applications but an active, intelligent, and autonomous participant in them. While many resources explain the theory behind these concepts, a critical gap remains: the practical knowledge of how to build real-world AI solutions from the ground up on this modern infrastructure. Cloud 3.0 and AI Infrastructure: Design, Build, and Scale is written to fill that gap. This book moves ...

"True Quantum AI: Solving Intractable Problems" is a comprehensive, practical-oriented guide designed for undergraduate and postgraduate students of Computer Science, as well as for software developers and researchers aspiring to master the synergy between quantum computing and artificial intelligence. My approach deliberately avoids overly dense mathematical formalism, instead presenting quantum mechanics from a computer scientist's perspective. Concepts like superposition and entanglement are not treated as abstract physical phenomena but as powerful computational resources that can be ...

"The NoSQL Design & Modeling Solution" is a comprehensive, practical-oriented guide designed for students and professionals of computer science and information technology. It provides a thorough exploration of non-relational databases, focusing on the critical skills of data modeling, system design, and real-world implementation. Philosophy The core philosophy of this book is "learning by doing." We operate on the principle that true understanding of NoSQL databases comes not from memorizing definitions, but from grappling with design trade-offs and implementing practical solutions. The ...

"Red Teaming: AI for Cybersecurity" serves as a comprehensive, hands-on guide to the revolutionary intersection of offensive security and artificial intelligence. This textbook is designed to bridge the critical knowledge gap between theoretical AI concepts and their practical application in simulating and executing sophisticated cyber-attacks for defensive purposes. It methodically walks the reader through the entire red teaming lifecycle, demonstrating at each stage how AI and Machine Learning can be leveraged to enhance speed, scale, and stealth. Key Features of the Book: 1. Progressive ...

"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 ...