Showing results by author "Ajit Singh" in All Categories

This book "AI Systems: Design, Modeling, and Implementation" provides a comprehensive, hands-on, and implementation-oriented guide to building complete Artificial Intelligence systems. It is meticulously structured to follow the real-world workflow of an AI project: from the initial design and problem formulation, through data management and model development, to final implementation and deployment. Philosophy The core philosophy of this book is "learning by doing." In the field of AI, theoretical knowledge is essential, but it is insufficient for creating functional applications. The true ...

"Document Database: Design, Modeling & Implementation" is a comprehensive, practical-oriented guide created for students and professionals in the field of computer science and software development. It provides a structured, step-by-step approach to understanding, designing, and implementing systems using document-oriented databases, a cornerstone of modern application development. Philosophy The guiding philosophy of this book is "Implementation-First." While theoretical knowledge is crucial, the true test of understanding in computer science is the ability to build. This book bridges the ...

"Copilot in Excel from Scratch" is a comprehensive, practical, and implementation-oriented guide designed to empower users of all levels to master the capabilities of Microsoft's AI-powered assistant within the Excel environment. This book demystifies the technology and focuses squarely on its real-world application, transforming you from a passive user into an active developer of solutions. Philosophy The core philosophy of this book is "Application over Abstraction." While a conceptual understanding of AI is useful, true mastery comes from practical application. I believe the most ...

"Build Real AI Systems" is a comprehensive, practical-first guide for students and aspiring developers aiming to master the end-to-end process of creating and deploying artificial intelligence applications. This book is engineered to serve as a direct, hands-on manual, emphasizing implementation over abstract theory. It is meticulously structured to align with the computer science curriculum of international universities, making it an ideal resource for B.Tech and M.Tech students, as well as for professionals seeking to acquire practical AI skills. Philosophy The core philosophy of this ...

"Agentic System and Design" is a comprehensive, practical guide designed to equip students and developers with the skills needed to build modern, AI-powered agentic systems. This book cuts through the hype and theory to provide a direct, hands-on path to mastering the design and implementation of intelligent agents using the LangChain framework. Philosophy The philosophy of this book is rooted in a simple but powerful idea: understanding comes from doing. I believe that complex topics like AI agent design are best learned not by reading abstract descriptions but by actively building and ...

"Model Context Protocol" is a definitive, hands-on guide for students, developers, and researchers looking to master the next evolution of Artificial Intelligence. In an era dominated by Large Language Models (LLMs), the true differentiator for creating powerful, reliable, and valuable AI applications lies in the ability to provide them with accurate, relevant, and timely context. This book systematically demystifies this process, introducing the "Model Context Protocol" (MCP)—a comprehensive framework for building context-aware AI systems. Why This Book? While many books focus on the ...

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 ...

"Mastering Claude AI" is a comprehensive, one-stop guide meticulously designed for students of B.Tech and M.Tech, as well as aspiring AI developers and tech enthusiasts. In an era where understanding and leveraging Large Language Models (LLMs) is becoming a crucial skill, this book provides a structured, practical, and easy-to-follow pathway to mastering Anthropic's Claude AI. Key Features of This Book: 1. Beginner to Advanced Trajectory: The 10-chapter structure ensures a smooth learning curve, starting with "What is Claude?" and culminating in building a complete software application. 2. ...

This book provides a comprehensive, hands-on journey through the entire NVIDIA ecosystem, designed to take you from a novice in parallel programming to a proficient architect of cloud-native, GPU-accelerated AI services. It is meticulously crafted for students and professionals in the field of Computer Science and Engineering. Philosophy The core philosophy of this book is to present the NVIDIA platform as a cohesive, end-to-end "full stack." Traditional resources often treat CUDA programming, AI frameworks, and model deployment as separate disciplines. This book dismantles those silos. I ...

This book, "Robotics Programming and Control," is born from a recognition of a critical need in engineering education. For too long, the study of robotics has been bifurcated. On one side stand the dense, theoretical texts, rich in mathematical formalism but often disconnected from practical application. On the other lie the code-heavy tutorials that, while useful, often neglect the foundational principles of why the code works. This book aims to bridge that chasm. My core philosophy is that a truly competent robotics engineer must be a "full-stack" developer in the physical world, ...

"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 ...

"Healthcare Informatics and AI: The New Frontier" is a comprehensive and accessible guide designed to navigate the exciting intersection of healthcare, data science, and artificial intelligence. The book provides a structured, start-to-finish roadmap for students and aspiring professionals to understand, design, and build intelligent systems for the healthcare domain. Moving seamlessly from foundational principles to advanced applications, this text equips readers with the theoretical knowledge and practical skills needed to thrive in this rapidly evolving field. Key Features: 1. Beginner ...

This book, "Quantum AI," is born out of a desire to demystify this convergence. It is designed to be a clear and accessible gateway for the next generation of engineers, scientists, and innovators—the B.Tech and M.Tech students who will build the future. My primary objective is to bridge the gap between the abstract principles of quantum physics and the practical, data-driven world of artificial intelligence, without demanding a prerequisite mastery of either. Key Features of This Book: 1. NEP 2020 & AICTE Compliant: Embraces a multidisciplinary, skill-based, and outcome-oriented approach...

"Quantum Machine Learning: From Theory to Near-Term Application" is a comprehensive, hands-on textbook designed to guide students and professionals from the fundamentals of classical machine learning and quantum computing to the practical implementation of cutting-edge hybrid quantum-classical algorithms. This book is meticulously structured to serve as both a university-level textbook and a professional's guide to this transformative field. Philosophy The core philosophy of this book is to bridge the gap between abstract theory and tangible application. We operate on the principle that the...

"Theoretical Concept of Operating System: Design, Develop, and Deploy Your Own Operating System" is a comprehensive, hands-on guide designed to transform the abstract principles of operating systems into concrete, practical skills. This book escorts the reader from foundational concepts to the final deployment of a self-developed, functional operating system. Philosophy The core philosophy of this book is "constructionism"—the idea that people learn most effectively when they are actively engaged in constructing a personally meaningful artifact. Instead of merely presenting theories, this...

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 ...

About the Book "Agentic AI: A Hands-on Practical Approach" is a comprehensive, step-by-step guide designed to take you from a beginner to a competent builder of autonomous AI agents. This book is meticulously crafted to be a practical companion for students, developers, and enthusiasts who want to move beyond theory and start creating functional AI systems. Philosophy The core philosophy of this book is "Learning by Doing." I believe that true understanding in an engineering discipline comes from implementation. Every concept is introduced with the immediate goal of applying it. The text ...

About the Book "How To Build AI Agents: From Scratch" is a comprehensive, hands-on guide designed to take you from the fundamental concepts of agent-based AI to the practical implementation of sophisticated autonomous systems. It is engineered to serve as a primary textbook for students and a practical handbook for professionals. Philosophy The core philosophy of this book is "Learn by Building." I believe that true understanding in a field as practical as AI engineering comes from direct experience. Theoretical knowledge is essential, but it is only when you write the code, debug the logic...

"AI Agents: From Prompting to Deploying" is conceptualized to bridge the critical gap between understanding the theoretical underpinnings of Large Language Models (LLMs) and building practical, goal-oriented autonomous agents. Philosophy The core philosophy of this book is "Learning by Building." We believe that the most effective way to master the complexities of AI agents is to build them. The text intentionally minimizes abstract theory in favor of applied knowledge. It treats the reader as an active participant—an engineer-in-training—rather than a passive observer. Every concept is...

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, ...