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

"Designing & Modeling Generative AI Applications" is a comprehensive textbook and practical guide for students and professionals seeking to master the rapidly evolving field of Generative AI. This book provides a structured pathway from foundational theory to the hands-on development of sophisticated AI applications. Philosophy The core philosophy of this book is "principled practice." I believe that a robust understanding of Generative AI cannot be achieved through theory alone, nor through simply copying and pasting code. Instead, I foster a deep conceptual understanding of the underlying...

"Cybercrime and Pattern Analysis Using Gen AI" is a comprehensive textbook and practical guide designed for the modern era of cybersecurity. It systematically explores the application of cutting-edge Generative AI techniques to detect, analyze, and proactively defend against a wide spectrum of cyber threats. Philosophy The core philosophy of this book is that cybersecurity must evolve from a reactive posture to a proactive and intelligent one. Traditional security measures are failing because they are designed to recognize known threats. Modern adversaries, however, create unknown threats. ...

This book provides a structured and comprehensive exploration of Edge Computing, a pivotal technology shaping the future of digital infrastructure. It is designed from the ground up to serve as a primary textbook for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, and related engineering disciplines. Philosophy The core philosophy of this book is "learning by building." We believe that a deep and lasting understanding of a complex technology like edge computing comes not just from reading about it, but from actively engaging with its ...

This book, "Generative Data APIs," is a comprehensive guide to a groundbreaking architectural pattern that merges the power of natural language processing with the robustness of modern API design. It serves as both a textbook for undergraduate and postgraduate students and a practical handbook for industry professionals. Philosophy The core philosophy of this book is that data access should be democratized and simplified. For decades, interacting with complex datasets has required specialized knowledge of query languages (like SQL), programming logic, and intricate API documentation. We ...

"Zero Trust Architecture" is a definitive academic and practical guide to the most critical security paradigm of our time. It systematically deconstructs the traditional "castle-and-moat" security model and builds, from the ground up, a robust understanding of the Zero Trust principle: Never Trust, Always Verify. In an era defined by cloud computing, remote workforces, and the Internet of Things (IoT), the network perimeter has vanished. This book provides the essential knowledge to secure organizations where trust is no longer assumed based on location, but is continuously earned through ...

"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 ...

What is this Book About? "Agentic Search" is a comprehensive guide to the next generation of artificial intelligence, where AI systems move beyond simply answering queries to autonomously performing complex tasks and achieving goals on your behalf. This book demystifies the technology behind AI agents—intelligent systems that can perceive their environment, reason, plan, and act. We explore how the power of Large Language Models (LLMs) is being harnessed to create sophisticated agents that can browse the web, use software tools, write code, and collaborate with each other to solve ...

"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 ...

"LLM.dev : The Next Generation of Coding" is a comprehensive, practical, and beginner-to-advanced guide designed to equip the next generation of software engineers with the essential skills to leverage Large Language Models (LLMs) in modern software development. This textbook systematically demystifies the world of LLM-powered applications, transforming complex AI concepts into accessible, actionable knowledge. Key Features: 1. Hands-on Practicals: Every chapter includes practical labs and code examples to reinforce theoretical concepts and build real skills. 2. Simple and Explanatory ...

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 ...

"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. ...

"Essential of GPT-5: Architecture, Design, Implementation, and Application" is a pioneering textbook meticulously crafted for the next generation of engineers, data scientists, and technology leaders. In an age defined by the rapid advancements of Artificial Intelligence, this book serves as your comprehensive guide to understanding and mastering the most anticipated language model to date. Key Features: 1. Progressive Learning Curve: Starts with the fundamentals of NLP and Transformers and gradually builds up to the advanced, forward-looking concepts of GPT-5. 2. Hands-On Practicals: Every...

This book provides a comprehensive, practical, and principles-driven guide to implementing Site Reliability Engineering (SRE) for applications powered by Generative AI and Large Language Models (LLMs). It is designed to serve as a core textbook for university courses and a vital handbook for industry professionals. Philosophy: The core philosophy of this book is "Reliability by Design for the AI Era." We posit that the non-deterministic, complex, and often opaque nature of GenAI systems demands a new, integrated approach to reliability. It is not enough to simply "bolt on" monitoring to a ...

A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. But a lake, if left unattended, can quickly turn into a swamp—a chaotic and unusable mess of data. The true power of a data lake is unlocked only when it is integrated with powerful, transformative technologies that can navigate its depths, process its contents, and extract profound insights. This book, "Data Lake Integration with Emerging Technologies," is born from the necessity to bridge this critical gap. Key Features of This Book: 1. Beginner to Advanced ...

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...

"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 ...

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, ...

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 ...

The core philosophy of this book is "Intuition First, Theory Second, Practice Always." State Space Models (SSM) emerge from the intersection of advanced mathematics (linear algebra, differential equations) and cutting-edge deep learning. A purely theoretical approach can be intimidating, while a purely code-based approach can leave the learner without a deep understanding. This book carefully balances the two. We will start by building an intuitive understanding of why a new model is needed, then introduce the necessary mathematical theory in a digestible manner, and immediately solidify ...

This book provides a comprehensive, practical, and implementation-oriented guide to the Digital Personal Data Protection Act, 2023. It is specifically crafted for students of Computer Science and engineering disciplines, aiming to translate legal principles into tangible engineering practices. Philosophy The core philosophy of this book is "Privacy Engineering in Practice." I believe that data protection is not just a legal or compliance hurdle but a fundamental aspect of quality software engineering. In an era where technology is deeply intertwined with human lives, engineers and ...