Showing results by author "Ajit Singh" in All Categories

"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...

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 ...

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...

"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....

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 ...

"Developing Video Chatbot" is a comprehensive, hands-on guide designed to navigate this exciting frontier. This book demystifies the complex technologies behind creating lifelike, interactive video-based AI assistants. It is meticulously crafted to serve as both a foundational textbook for undergraduate (B.Tech) and a detailed reference for postgraduate (M.Tech) students, as well as for developers and AI enthusiasts keen on mastering this cutting-edge domain. Key Features: 1. Beginner to Advanced Trajectory: The book is structured to cater to all levels. Early chapters build a strong ...

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 ...

"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 ...

"Embedded System & Internet of Things" is written from the ground up to address a fundamental challenge in modern technology education: the gap between knowing the components and knowing how to build a complete, functional system. This book provides a comprehensive, practical, and application-oriented guide to designing and building solutions that merge the physical and digital worlds. It is meticulously crafted to serve as a primary textbook for undergraduate and postgraduate students in computer science and related engineering disciplines. Many resources excel at explaining what a ...

"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 ...

This book provides a comprehensive, hands-on, and application-centric guide to understanding, designing, and implementing solutions with multimodal databases. It is structured as a step-by-step manual for students and developers to gain practical mastery over this cutting-edge technology. Philosophy The core philosophy of this book is "Learn by Building." I believe that the most effective way to learn complex computer science concepts is by applying them to solve real-world problems. Theoretical knowledge is essential, but it becomes truly valuable only when it is translated into functional...

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, ...

Philosophy: From Consumer to Creator The guiding philosophy of Embedding Computing is "learning by doing." The book is founded on the belief that the most effective way to understand embedded systems is to build them. While theory provides the "why," practical application provides the "how"—and it is the "how" that transforms a student into an engineer. Every chapter is structured to take you from concept to code, from schematic to a functioning circuit. It intentionally prioritizes application, treating theoretical discussions as the essential scaffolding needed to support hands-on ...

This text of this book "The Transformer Architecture : AI Revolution" is structured to cater to a wide audience, from undergraduate (B.Tech) students taking their first steps into deep learning to postgraduate (M.Tech) scholars and professionals seeking to master the state-of-the-art. We start with the foundational building blocks, assuming only a basic knowledge of programming and machine learning, and progressively build up to advanced concepts like BERT, GPT, and Vision Transformers. Every chapter is a stepping stone, designed to build your confidence and competence. Key Features of This...

Industrial Internet of Things 4.0 is a comprehensive and timely resource designed to navigate the exciting and transformative landscape of the Fourth Industrial Revolution, commonly known as Industry 4.0. At the heart of this revolution lies the seamless integration of physical and digital systems, powered by the Industrial Internet of Things (IIoT). This book posits IIoT not merely as a collection of connected devices, but as a complex ecosystem enabling unprecedented levels of automation, optimization, and predictive capabilities across diverse industrial sectors including manufacturing, ...

"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 ...

"GPU Computing" is a definitive, hands-on guide designed to transform you from a novice into a proficient practitioner of parallel programming on modern Graphics Processing Units (GPUs). This book is built on a direct and pragmatic philosophy, meticulously structured to provide the skills required by top-tier academic institutions and the high-performance computing industry worldwide. Philosophy: From Theory to Implementation The core philosophy of GPU Computing is "learning by doing." The field of parallel programming is inherently practical. While understanding the theory of parallel ...

"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 ...

"Quantum Communication & Cryptography: The Future of Secure Data" is a comprehensive and accessible textbook designed to introduce students, educators, and professionals to the revolutionary world of quantum-powered secure communications. As quantum computers threaten to break today's cryptographic standards, this book provides a vital, forward-looking guide to the next generation of security solutions. Key Features of This Book: 1. Conceptual Clarity: Complex topics like superposition, entanglement, and quantum measurement are explained using simple analogies, real-life examples, and step-...

About the Book This book provides a direct, practical path to understanding and implementing game theory principles for creating intelligent game mechanics. It is engineered for builders, coders, and creators who learn best by doing. Philosophy The core philosophy is "Constructive Learning." I believe that abstract theories become concrete and intuitive only when they are used to build a tangible system. Instead of asking you to memorize formulas, this book asks you to write functions. Every theoretical concept is introduced as a solution to a practical programming challenge, ensuring that ...