Showing results by author "Ajit Singh" in All Categories

"Enterprise Agentic AI" is a comprehensive, practical, and implementation-oriented guide designed to equip students and professionals with the skills required to build and deploy autonomous AI agents in real-world business environments. This book demystifies the process of creating intelligent systems that can perceive, reason, plan, and act, moving beyond traditional machine learning models into the realm of goal-oriented, autonomous action. The landscape of Artificial Intelligence is undergoing its most significant transformation since the advent of deep learning. We are moving from an ...

The world of software development is undergoing its most significant transformation since the dawn of the internet. Artificial Intelligence is no longer a futuristic concept but a present-day reality, fundamentally reshaping how we design, build, test, and deploy software. This book, "AI-Augmented Software Development Lifecycle," serves as your definitive, hands-on guide to navigating this new frontier. It bridges the gap between the abstract potential of AI and the concrete, day-to-day work of a software developer, providing the practical skills necessary to thrive in the next era of ...

The advent of powerful Generative AI (GenAI) models, particularly Large Language Models (LLMs), has created an inflection point in the technology industry. The conversation is rapidly shifting from the theoretical capabilities of AI models to the practical engineering of AI systems. A brilliant model is only potential; a well-designed system is a solution. "Mastering AI System Design With GenAI & RAG" is a direct response to this industry-wide shift. It is architected from the ground up to be a definitive, hands-on guide for building the robust, reliable, and intelligent applications that ...

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 ...

"Generative Agentic AI" is a comprehensive textbook and practical guide designed to navigate the exciting confluence of generative AI and autonomous agent technology. It systematically demystifies how we can empower Large Language Models (LLMs) and other foundation models to not only generate content but to actively reason, plan, and execute complex tasks in both digital and physical environments. This book bridges the gap between theoretical knowledge and practical implementation, making it an essential resource for the next generation of AI engineers and developers. Key Features: 1. ...

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 ...

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 ...

"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 ...

"IIoT 5.0: Human-Centric Industrial Transformation" provides a comprehensive, accessible, and practical exploration of the next wave of industrial transformation, where the Industrial Internet of Things (IIoT) converges with the human-centric principles of Industry 5.0. This book is meticulously designed to serve as a definitive guide for students, educators, and professionals, bridging the critical gap between theoretical knowledge and real-world application. It navigates the journey from the fundamental building blocks of IIoT to the design and deployment of sophisticated, collaborative ...

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 ...

Federated Learning (FL) emerges as a powerful and elegant solution to this modern predicament. It is a distributed machine learning approach that allows models to be trained on decentralized data residing on local devices or servers, without requiring the raw data to be shared or moved. Instead, only the model updates (or gradients) are exchanged and aggregated on a central server. This preserves data privacy by design, reduces communication costs compared to transferring raw data, and enables AI to be deployed closer to the source of data – the edge. Federated Learning is not merely an ...

"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 ...

"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....

"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 ...

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 ...

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 ...

"Temporal AI: Mastering Time-Series with Foundation Models" is a comprehensive, practical-first guide designed to equip readers with the knowledge and skills to leverage cutting-edge AI techniques for time-series analysis and forecasting. The ability to understand and predict the future based on the past is one of the most critical challenges in data science. From forecasting energy demand to prevent blackouts, to predicting stock prices for financial stability, time-series data is the lifeblood of intelligent decision-making. This book is not merely a theoretical overview; it is a ...

"Software Architecture and Design Patterns" is an intensely practical, hands-on guide written for the modern software developer to understanding and applying the core concepts of software architecture and design patterns. In a world where technology evolves at a breakneck pace, the principles of good design and robust architecture remain the timeless foundation of all successful software. This book is dedicated to teaching those principles not as abstract theory, but as a tangible craft. It is built to bridge the critical gap between writing lines of code and architecting resilient, ...

This book, "Superintelligence: The Promise and Peril of Advanced AI," is born out of a critical need for a new kind of textbook. For too long, the study of AI has been bifurcated. On one side lie the deeply technical manuals, dense with mathematics and code, accessible only to specialists. On the other, the speculative, often sensationalist, narratives that discuss the future of AI without a firm grounding in its underlying principles. This book serves as a bridge. It is designed for the next generation of engineers, thinkers, and leaders—the B.Tech and M.Tech students who will not just ...