Showing results by author "Ajit Singh" in All Categories

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 ...

"The Deepfake Dilemma: Ethics, Technology, and Society" is a comprehensive and accessible textbook designed for B.Tech and M.Tech students of computer science, information technology, and related engineering disciplines. It confronts one of the most pressing socio-technical challenges of the 21st century: the rise of hyper-realistic, AI-generated synthetic media, or "deepfakes." Key Features: 1. Accessible Technical Explanations: Complex topics like Generative Adversarial Networks (GANs) are broken down using simple analogies and clear, practical examples, making them understandable without...

"Building AI Agents" is a comprehensive, practical, and modern guide designed to empower the next generation of AI developers. This book demystifies the complex world of Artificial Intelligence by focusing on a single, compelling goal: teaching you how to build intelligent agents from the ground up. It provides a structured path from foundational principles to the cutting-edge technologies that are defining our future. Key Features: 1. Real-World Capstone Project: A final chapter guides students step-by-step through building a practical AI agent (a customer service chatbot), providing ...

"Developing Apps with GPT-4 and ChatGPT" is a comprehensive, practical, and beginner-friendly guide designed to take you from zero knowledge to a confident AI application developer. In an era where Large Language Models (LLMs) are reshaping industries, this book serves as your essential roadmap to understanding and leveraging the power of GPT-4 and the ChatGPT API. Key Features of This Book: 1. Project-Based Learning: Every chapter contains practical exercises and mini-projects, ensuring you learn by building. The book concludes with a comprehensive capstone project to solidify your skills....

"Machine Learning for Engineers" is a foundational textbook meticulously crafted to introduce B.Tech and M.Tech engineering students to the principles and practices of Machine Learning (ML). This book serves as a bridge, connecting the theoretical underpinnings of ML algorithms with their practical application in solving complex engineering problems. Recognizing that the engineers of tomorrow must be adept at leveraging data, this book demystifies ML, making it accessible, intuitive, and directly relevant to their discipline. Key Features: 1. NEP 2020 and AICTE Compliant: The structure and ...

This book, "AI in Education," was born out of a necessity to bridge the gap between the theoretical constructs of Artificial Intelligence and their practical, impactful application within the educational ecosystem. While numerous texts delve into the depths of machine learning algorithms or the philosophies of pedagogy, there exists a critical need for a unified resource that speaks to both domains. This book is designed to be that bridge. It is crafted for the aspiring B.Tech and M.Tech students who will build the future of educational technology, for the educators who will wield these new...

Agentic AI: Architectures, Intelligence, and the Future of Autonomous Systems is conceived as a comprehensive exploration of this exciting frontier. This book endeavors to dissect the multifaceted nature of Agentic AI. We will begin by establishing a clear definition and historical context, distinguishing agentic systems from their predecessors. We will then delve into the foundational pillars—the core technologies like LLMs, reinforcement learning, and knowledge representation that empower these agents. A significant portion of the text is dedicated to the architectures that bring these ...

This book, "Prompt Engineering," is conceived as a foundational text for the engineers and innovators of tomorrow. For too long, the art of instructing AI has been treated as a mystical craft, a collection of tricks and tips shared in online forums. Our mission is to elevate it to its rightful place as a formal engineering discipline—one with principles, methodologies, and a structured approach to achieving predictable, reliable, and optimal results from AI models. Key Features: 1. Foundations First Approach: Begins with an intuitive explanation of LLMs, tokens, and transformers, ensuring...

This textbook, "Statistical Techniques for Machine Learning," is born from a desire to bridge this gap. It is crafted specifically for the next generation of technologists—the B.Tech and M.Tech students who will build the future. Our philosophy is simple: to demystify the statistical principles that are the lifeblood of machine learning. We eschew overly dense mathematical notation in favor of intuitive explanations, practical examples, and a clear line of sight from statistical theory to real-world ML application. Key Features of This Book: 1. NEP 2020 & AICTE Compliant: The structure ...

"Data Analytics (GenAI Infused Curriculum)" is a pioneering textbook designed for the next generation of data professionals. It systematically demystifies the world of data analytics while seamlessly integrating the revolutionary power of Generative AI as a practical, hands-on tool. This book provides a comprehensive, one-stop resource for B.Tech and M.Tech students, bridging the gap between foundational academic theory and the cutting-edge skills demanded by the global technology industry. Key Features: 1. GenAI Infused Curriculum: A unique, integrated approach that teaches students how to...

Generative Artificial Intelligence (Generative AI) is not just a frontier of technology—it's a paradigm shift in how we think about creativity, automation, and intelligence itself. When I first encountered the idea that a machine could write poetry, compose music, or even generate original research, it felt like science fiction. Today, it's an undeniable reality, transforming industries and inspiring new forms of human expression. This book is the culmination of my academic journey, research, and reflective exploration into this fascinating and sometimes controversial domain. I have ...

"AI Engineering" is a comprehensive, practical, and modern textbook designed for undergraduate (B.Tech) and postgraduate (M.Tech) students of computer science, information technology, and related engineering disciplines. In an era where Artificial Intelligence is reshaping industries, this book aims to equip students with the end-to-end skills required to not just understand AI, but to build, deploy, and manage real-world AI systems. Key Features of the Book: 1. Practical-First Approach: Saturated with the simplest and easiest practical examples, code walkthroughs, and real-world datasets ...

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 ...

"The AI Revolution: How Machines Are Changing the World" is a comprehensive yet exceptionally accessible guide designed for the undergraduate (B.Tech) and postgraduate (M.Tech) students of computer science, information technology, and other engineering disciplines. The book serves as a one-stop resource that systematically covers the entire spectrum of Artificial Intelligence, from its foundational concepts to the most advanced, cutting-edge topics like Generative AI. Key Features: 1. Lucid and Simple Language: Complex jargon and mathematical notations are broken down and explained using ...

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 ...

"Essentials of CHATBOT" is a comprehensive, hands-on guide designed to empower students, developers, and researchers to master the development of modern conversational AI. This book navigates the entire lifecycle of chatbot creation, from the foundational principles of Natural Language Processing (NLP) to the deployment of sophisticated agents powered by cutting-edge Large Language Models (LLMs). Key Features: 1. Foundational Clarity: Complex NLP and machine learning concepts are broken down into simple, digestible explanations with intuitive analogies. 2. Hands-On Code Examples: Every ...

The conception of this book, "Neo4J: Graph Database", is rooted in a clear educational need. As educators and professionals, we observed a gap between the rapidly growing industry demand for graph database skills and the availability of academic resources that are both comprehensive and accessible. This book is our answer. It is meticulously crafted to serve as a primary textbook for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, and related disciplines. Key Features of This Book: 1. Simplest Practical Examples: Theory is minimized in ...

This book, "Graph Database Modeling," is born out of the necessity to equip the next generation of technologists, engineers, and data scientists with the mindset and skills required to navigate this new paradigm. It is designed to be more than just a technical manual; it is a guide to mastering the art and science of modeling the world as it truly is—a network of interconnected entities. Key Features: 1. NEP 2020 Aligned Pedagogy: Focuses on conceptual understanding and practical skill development over rote learning. 2. Lucid and Simple Language: Complex topics are broken down into easy-...

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 ...

As we stand on the precipice of a new age, the integration of generative AI and large language models (LLMs) into our daily lives is not merely a trend; it is a paradigm shift. These technologies are not just tools; they are catalysts for innovation, enabling us to tackle some of the most pressing challenges of our time. From enhancing patient care in healthcare systems to personalizing learning experiences in education, from optimizing crop yields in agriculture to revolutionizing energy management, the applications of generative AI are as diverse as they are impactful.In the realm of ...