No results by author "Ajit Singh" in All Categories

"AIOps: Inevitable Future of IT" is a comprehensive and accessible guide to the revolutionary field of Artificial Intelligence for IT Operations. In an era where digital systems are overwhelmingly complex, this book provides a clear roadmap for leveraging AI and machine learning to automate and intelligently manage IT infrastructure. It takes the reader on a structured journey from the fundamental "why" and "what" of AIOps to the advanced "how" of building, deploying, and operating AI-driven systems. This book is not just a theoretical treatise; it is a practical handbook designed to equip ...

Cloud Computing has recently emerged as one of the buzzwords of ICT industry. Numerous IT vendors are promising to offer computation, storage and application hosting services and to provide coverage in several continents, offering service-level agreements backed performance and uptime promises for their services. While these clouds are the natural evolution of traditional data centers, they are distinguished by exposing resources as standards-based Web services and following a utility pricing model where customers are charged based on their utilization of computational resources. This book ...

"Building Small Language Models from Scratch" is a comprehensive, hands-on guide designed for students, developers, and aspiring AI engineers who want to move beyond using pre-built models and learn to create their own. This book demystifies the complex world of language models by breaking it down into understandable, practical steps. Using the popular PyTorch framework, you will journey from the basic building blocks of neural networks to constructing and training a complete, functional Small Language Model (SLM). Key Features of the Book: 1. From-Scratch Approach: Learn by building every ...

"Beyond GPT: Neuro-Symbolic AI" provides a comprehensive and accessible pathway into one of the most promising and critical areas of modern Artificial Intelligence. As the limitations of purely data-driven models like GPT become more apparent, the need for systems that combine learning with reasoning has never been more urgent. This book serves as both a theoretical guide and a practical handbook for understanding, designing, and implementing Neuro-Symbolic AI systems. To Whom This Book Is For: 1. B.Tech/M.Tech Computer Science Students: The book is designed as a primary textbook for ...

"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...

"AI Agents and Autonomous Systems" is a comprehensive, modern, and practical guide designed to navigate the exciting landscape of intelligent systems. This book serves as both a university textbook and a hands-on manual for anyone looking to understand, design, and build the next generation of AI. In an era where AI is moving from a passive tool to an active participant, understanding the principles of autonomy is no longer optional—it is essential. We cut through the hype and provide a clear, structured pathway from foundational theories to the implementation of cutting-edge, LLM-powered...

"Building Applications using AI Agents" is a comprehensive, practical, and hands-on guide designed to take you from a foundational understanding of Artificial Intelligence to a state of proficiency where you can architect, develop, and deploy sophisticated AI agent-based applications. This book is engineered to be your single-stop resource, whether you are a student taking your first steps into AI or a seasoned developer looking to master the next frontier of software development. Philosophy The core philosophy of this book is "Learn by Building." Abstract theory, while important, can only ...

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...

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 ...

About the Book "Agentic System Development" is a comprehensive, practical-oriented textbook designed to guide undergraduate (B.Tech) and postgraduate (M.Tech) computer science students, as well as aspiring AI developers, through the principles, design, and implementation of autonomous agentic systems. Philosophy The core philosophy of this book is "Learning by Doing." I believe that the most profound understanding of complex systems comes from building them from the ground up. This book systematically demystifies agentic AI by breaking it down into manageable, understandable, and ...

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 ...

The era of static Artificial Intelligence is drawing to a close. For years, the standard paradigm has been to train a model on a massive dataset, deploy it, and hope its performance remains stable. However, the real world is not a static dataset. It is a dynamic, ever-changing environment where user preferences shift, new data patterns emerge, and unforeseen events occur. Consequently, deployed AI models often suffer from "concept drift," their accuracy and relevance decaying silently over time, necessitating costly and cumbersome manual retraining cycles. This book, "Self-Improving ...

This book provides a comprehensive, hands-on guide to the art and science of fine-tuning pre-trained artificial intelligence models. It is designed to bridge the critical gap between understanding a concept and being able to implement it effectively to build real-world applications. It meticulously avoids dense theoretical derivations, instead focusing on the intuition and the practical steps required to build, evaluate, and deploy fine-tuned models. Philosophy The core philosophy of this book is "learning by doing." I believe that true mastery in a technical domain like AI is achieved not ...

"Digital Forensics" is a comprehensive, practical, and accessible guide designed for the next generation of cybersecurity professionals. Tailored specifically for B.Tech and M.Tech students, this book demystifies the complex world of digital investigation by seamlessly integrating foundational theory with intensive, hands-on practice. It addresses a critical gap in technical education by moving beyond theoretical concepts to build tangible, in-demand skills using real-world scenarios and industry-standard open-source tools. Key Features: 1. NEP 2020 and AICTE Compliant: The curriculum is ...

Welcome to "Full-Stack AI," a comprehensive guide designed for the next generation of engineers, developers, and technology leaders. In an era where Artificial Intelligence is no longer a siloed discipline but the very fabric of modern software, the demand for professionals who can architect, build, and deploy end-to-end AI-powered solutions has skyrocketed. This book is engineered to create such professionals—the Full-Stack AI Engineers. Key Features of the Book: 1. Holistic Full-Stack Coverage: Uniquely covers the entire AI application lifecycle—from data ingestion and model training ...

"Mastering Cybersecurity using Generative AI" is a comprehensive, practical, and forward-looking textbook designed to bridge the gap between the theoretical concepts of Artificial Intelligence and the practical demands of modern Cybersecurity. It serves as both a university-level textbook and a professional's guide to understanding and leveraging the transformative power of Generative AI in defending our digital assets. Key Features of This Book: 1. Globally Compatible Syllabus: The topics covered are universal and map directly to cybersecurity and AI courses in universities worldwide, ...

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 ...

About the Book This book provides a direct and practical pathway into the world of game theory, specifically tailored for application in game design and artificial intelligence development. It demystifies a powerful academic subject and transforms it into an accessible, hands-on tool for creators. Philosophy The guiding philosophy of this book is "Application over Abstraction." I believe that theoretical knowledge becomes truly valuable when it can be used to build something tangible. Every concept introduced is framed around a central question: "How can I use this to make a game's AI ...

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 ...

"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?...