Showing results by author "Ajit Singh" in All Categories

"Developing LangChain Apps From Scratch" is conceptualized to be the definitive, practical guide for this new era of application development. This book is founded on a simple principle: the best way to learn is by doing. I intentionally move away from dense theoretical discussions and focus relentlessly on the practical, step-by-step process of building functional applications. Every chapter is designed to impart a specific, tangible skill, culminating in the ability to design, develop, and deploy sophisticated LangChain-powered solutions. Philosophy The core philosophy of this book is "...

This textbook serves as both a theoretical primer and a hands-on workbook. It systematically breaks down the core tenets of multimodal learning, from the basics of processing individual data types to the sophisticated techniques used to fuse them into a cohesive understanding. The book's structure is intentionally designed to be accessible, starting with first principles and progressively building towards the state-of-the-art, making it suitable for students with a general background in programming and mathematics but without prior expertise in AI. Who This Book Is For: 1. B.Tech Students: ...

"Edge AI" stands at the confluence of two of the most transformative technologies of our era: Artificial Intelligence (AI) and Edge Computing. As the digital world expands, generating vast amounts of data at its periphery, the need to process this data intelligently, swiftly, and securely at its source has become paramount. This book is meticulously crafted to serve as a comprehensive, contemporary, and practical guide for B.Tech and M.Tech students, as well as researchers and industry professionals, seeking to master the principles, techniques, and applications of Edge AI. Key Features of ...

"The LLM Stack: Systems Engineering for Generative AI at Scale" provides a comprehensive, end-to-end exploration of the infrastructure, tools, and techniques required to build, deploy, and operate large language model applications in the real world. Philosophy: The core philosophy of this book is that Large Language Models are complex, distributed computing problems disguised as mative, focusing on performance, reliability, scalability, and cost-efficiency. My goal is to demystify the entire stack, from the GPU kernel level to the application API, providing readers with a holistic and deep ...

This book, "Prompt Engineering," is conceived as a foundational text for the engineers and innovators of tomorrow. For too long, the art of instructing AI has been treated as a mystical craft, a collection of tricks and tips shared in online forums. Our mission is to elevate it to its rightful place as a formal engineering discipline—one with principles, methodologies, and a structured approach to achieving predictable, reliable, and optimal results from AI models. Key Features: 1. Foundations First Approach: Begins with an intuitive explanation of LLMs, tokens, and transformers, ensuring...

"Deep Defense: AI-Powered Threat Intelligence and Behavioral Malware Detection" is a comprehensive and practical guide designed to equip the next generation of cybersecurity professionals with the skills to build intelligent, proactive, and adaptive defense systems. The book operates on a simple yet powerful philosophy: the most effective way to combat the complexity of modern cyber threats is not with more complex rules, but with systems that can learn, adapt, and predict. This book ensures that students move beyond passive learning to active skill acquisition, preparing them for the ...

"From Object-Oriented to Agent-Oriented Design" is a comprehensive textbook and practical guide designed for the new era of computing. It serves as a bridge, carefully guiding learners from the well-established principles of Object-Oriented Design (OOD) to the powerful, emerging paradigm of Agent-Oriented Design (AOD). This book is meticulously aligned and structured to meet the rigorous standards of international university courses in Computer Science and Engineering. Philosophy: The core philosophy of this book is that AOD is not merely an extension of OOD but a fundamental shift in ...

"Software Security" is an intensive, practical, and modern guide engineered for the next generation of software developers, architects, and engineers. It serves as a definitive textbook for undergraduate and graduate computer science courses, meticulously aligned with the curricula of leading universities in the USA and worldwide. This book moves beyond abstract theory to provide a direct, hands-on methodology for building secure and resilient software systems from the ground up. It serves as a core text for courses on software security, secure coding, and application security, adhering ...

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 ...

About the Book This book provides a comprehensive, hands-on, and application-centric guide to designing and implementing automated workflows augmented by Artificial Intelligence. It is engineered to take a student from the foundational concepts of automation to the deployment of sophisticated, scalable, and intelligent systems. Philosophy The core philosophy of this book is "learning by doing." I operate on the principle that true understanding in the field of AI automation comes not from memorizing theories, but from building functional systems that solve real-world problems. Every concept...

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 ...

"Generative Software Engineering" is a comprehensive textbook and practical guide designed for the new era of software development. It systematically demystifies the process of building, deploying, and maintaining software systems powered by generative artificial intelligence. This book serves as a bridge between the abstract concepts of AI and the concrete discipline of software engineering, providing a unified methodology for creating "Software 3.0." Philosophy The core philosophy of this book is that generative AI is not merely a new feature to be added to existing software, but a ...

This textbook, "Statistical Techniques for Machine Learning," is born from a desire to bridge this gap. It is crafted specifically for the next generation of technologists—the B.Tech and M.Tech students who will build the future. Our philosophy is simple: to demystify the statistical principles that are the lifeblood of machine learning. We eschew overly dense mathematical notation in favor of intuitive explanations, practical examples, and a clear line of sight from statistical theory to real-world ML application. Key Features of This Book: 1. NEP 2020 & AICTE Compliant: The structure ...

"Software Engineer with Generative AI" is a comprehensive, practical, and accessible guide designed to equip the modern software engineer with the skills and knowledge required to build the next generation of intelligent applications. This book serves as a bridge between traditional software development and the cutting-edge field of Generative AI, providing a structured pathway from fundamental concepts to advanced, real-world implementation. Key Features: 1. Beginner to Advanced Progression: The book starts with the absolute basics, assuming no prior AI knowledge, and gradually builds up ...

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 ...

This book is not about building your first chatbot. It's about taking that chatbot and making it reliable, scalable, and observable for millions of users. It's the definitive guide to MLOps for Language Models (LLMOps), covering the entire production lifecycle. Why It's a Market Gap: Most books stop at the response = chain.invoke() step. The immense complexity of logging, monitoring, CI/CD, A/B testing, and managing regressions in LLM systems is a huge pain point with almost no consolidated literature. Key Features: 1. End-to-End Lifecycle Coverage: From initial system design and prompt ...

"Meta Learning: Building the Next Generation of AI" is a comprehensive and practical guide designed to navigate the reader from the fundamental principles to the advanced applications of meta-learning. It serves as both a textbook for students and a handbook for practitioners, meticulously crafted to be a one-stop resource for mastering the art and science of "learning to learn." Philosophy: The core philosophy of this book is built on two pillars: demystification and empowerment. Meta-learning is often perceived as an abstract and mathematically dense field, accessible only to a select few...

"Knowledge Graph" is a comprehensive, practical, and student-centric guide designed to navigate the dynamic and powerful world of connected data. This book serves as a one-stop resource for B.Tech and M.Tech students, bridging the gap between foundational theory and cutting-edge, industry-relevant application. It systematically demystifies how to model, build, query, and leverage Knowledge Graphs to create truly intelligent systems. Key Features of This Book: 1. Beginner to Advanced Trajectory: The 10-chapter structure provides a smooth learning curve, starting from the absolute basics of ...

About the Book "Analog Computing: Moving Beyond Classical Logic" is a comprehensive and accessible textbook designed to introduce undergraduate (B.Tech) and postgraduate (M.Tech) students of Computer Science and related engineering disciplines to the fascinating world of analog computing. As the limits of traditional digital computing become more apparent, especially in the context of energy-intensive AI applications, analog computing has re-emerged as a critical area of innovation. This book serves as a bridge between the historical foundations of the field and its cutting-edge, modern ...

"Understanding Mixture of Experts" is a comprehensive and accessible guide to one of the most transformative architectural paradigms in modern Artificial Intelligence. As AI models grow to unprecedented sizes, the Mixture of Experts (MoE) approach has emerged as the key to unlocking scalable, efficient, and powerful intelligence. This book demystifies MoE, guiding readers from foundational principles to the practical implementation of state-of-the-art systems. It is designed to be the definitive resource for students, researchers, and professionals eager to master this critical technology. ...