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

This book is a comprehensive, practical-first guide to the Internet of Things. It is meticulously engineered to serve a single, primary purpose: to equip you with the tangible skills required to design, build, and deploy end-to-end IoT solutions. This is not a theoretical survey of the field; it is a structured, hands-on manual for the modern technologist, student, and creator. Philosophy: From Concept to Code The guiding philosophy of this book is "learning by doing." The Internet of Things is an applied discipline, and true comprehension is achieved not by memorizing definitions but by ...

"The Multimodal Architect: Building the Next Generation of See-and-Speak AI" is a comprehensive, hands-on guide to designing, building, and deploying AI systems that can simultaneously process and generate information across multiple modalities, including text, images, and audio. It is a technical deep-dive that goes beyond using existing tools as black boxes, instead focusing on understanding and implementing the core architectural principles that make these powerful systems possible. This book is engineered to bridge a critical gap in technical literature: while most resources focus on ...

"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 ...

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 ...

"Developing Apps with GPT-4 and ChatGPT" is a comprehensive, practical, and beginner-friendly guide designed to take you from zero knowledge to a confident AI application developer. In an era where Large Language Models (LLMs) are reshaping industries, this book serves as your essential roadmap to understanding and leveraging the power of GPT-4 and the ChatGPT API. Key Features of This Book: 1. Project-Based Learning: Every chapter contains practical exercises and mini-projects, ensuring you learn by building. The book concludes with a comprehensive capstone project to solidify your skills....

This textbook, "Neuromorphic Computing," has been meticulously crafted to serve as a comprehensive guide for undergraduate (B.Tech) and postgraduate (M.Tech) students, as well as researchers and professionals eager to delve into this revolutionary domain. Recognizing the global and rapidly evolving nature of this field, the content herein is designed to be strictly compatible with the forward-looking National Education Policy (NEP) 2020 of India, the All India Council for Technical Education (AICTE) model syllabus, and the core curricula of leading universities worldwide. My goal is to ...

"Data Governance for AI" is a comprehensive textbook and practical guide designed for university students and aspiring professionals. It systematically addresses the critical discipline of governing data assets for the successful and responsible development of Artificial Intelligence systems. Philosophy The core philosophy of this book is that effective data governance is an enabler, not a constraint, for innovation in AI. We treat data governance not as a bureaucratic overhead but as a strategic imperative that builds trust, mitigates risk, and directly enhances the performance and ...

"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...

Software is the backbone of the modern world, yet its construction often relies more on craft and convention than on rigorous engineering. While traditional software development lifecycles incorporate extensive testing and quality assurance, these practices are fundamentally reactive—they are designed to find bugs that have already been written into the code. This book, "Formal Methods in Software Engineering," introduces a proactive, engineering-driven approach to building software that is correct by design. It is built to bridge the long-standing gap between the immense power of formal ...

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 ...

This book is written from the ground up to serve as a comprehensive, implementation-driven guide to the worlds of DevOps & Site Reliability Engineering (SRE). It is designed to bridge the critical gap between academic computer science theory and the practical, in-demand skills required to build, deploy, and maintain modern, scalable software systems. Philosophy: Competence Through Implementation The guiding philosophy of this book is "competence through implementation." DevOps & Site Reliability Engineering are not spectator sports. They are hands-on disciplines where value is created by ...

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 ...

"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. ...

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 ...

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 ...

"The Data Lakehouse" provides a comprehensive, principles-first, and hands-on guide to the most significant architectural shift in the data industry in the last decade. This textbook demystifies the Data Lakehouse paradigm, which unifies the capabilities of data lakes and data warehouses to create a single, simplified, and powerful platform for all data, analytics, and AI workloads. Key Features: 1. Globally Relevant: The content, technologies (Apache Spark, Delta Lake), and architectural patterns are universally applicable, making it compatible with the syllabus of international ...

"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?...

"Artificial Intelligence for Excel: Architecture, Models, and Implementation" is a comprehensive textbook designed to revolutionize the way Computer Science students and professionals approach Data Science. In an era where Artificial Intelligence (AI) is redefining industries, this book serves as a crucial bridge, connecting the theoretical rigor of academic computer science with the practical, ubiquitous utility of Microsoft Excel. Why This Book? While many books teach AI using complex IDEs like PyCharm or Jupyter Notebooks, they often alienate beginners. Conversely, Excel books rarely ...

"Causal AI: Beyond Correlation" is a comprehensive, practical, and accessible guide to the principles and practices of Causal Inference and its application in modern Artificial Intelligence. Designed for B.Tech and M.Tech students in Computer Science, Data Science, and related engineering disciplines, this book serves as both a foundational textbook and a hands-on manual for building more intelligent, robust, and interpretable AI systems. Key Features of This Book: 1. Beginner to Advanced Trajectory: The book follows a logical progression, starting with the fundamental concepts of causality...

"Core Concept of Multi-Model Databases" is a comprehensive, practical, and accessible guide designed to equip students and professionals with the essential knowledge and skills to navigate the next generation of data management. In an era where data is inherently complex and multifaceted, this book demystifies the powerful paradigm of multi-model databases, which provide a unified platform to handle diverse data types like documents, graphs, and key-value pairs within a single, integrated system. Key Features: 1. Beginner to Advanced Trajectory: The book starts with the absolute basics of ...