Mostrando resultados por autor "Ajit Singh" en Todas las categorías

"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 ...

"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...

"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 ...

"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 ...

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 ...

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 ...

"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 ...

"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...

"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 ...

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...

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 ...

"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 ...

"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 ...

"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 ...

"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, "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...

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 ...

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 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...