About this ebook
This guide walks you through the entire AI product lifecycle, starting with the fundamental mindset shift required to think in AI. You'll then dive into the builder's toolkit, getting a clear, jargon-free understanding of core technical decisions like choosing the right model, implementing Retrieval-Augmented Generation (RAG), and using Fine-Tuning. From there, you'll learn how to ship real products by mastering the new rules of testing, UX design, and building the data flywheel. Finally, the book tackles the hard problems of managing costs, security, ethics, and building an AI-native team. To ensure these concepts stick, every chapter is packed with real-world case studies and concludes with a comprehensive set of exercises—including multiple-choice questions (MCQs), short-answer, and long-answer problems—designed to test your understanding and prepare you for real-world challenges.
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About the author
Atul Sah is a passionate educator and a distinguished faculty member in the Department of Computer Application at B. N. College, Patna University. With a career dedicated to shaping the next generation of technologists, his work is driven by a core mission: to demystify the complex world of computer science and make it accessible and exciting for all. He believes that true mastery in a field like machine learning comes not from memorizing formulas, but from building a deep, intuitive understanding from the ground up. This book is the culmination of his years of experience in the classroom, carefully crafted to be the mentor he wishes he had when he first started his own journey into AI. Atul possesses a unique gift for breaking down the intimidating mathematics behind algorithms into clear, practical concepts that stick. His approach emphasizes hands-on learning and real-world application, a philosophy that forms the very foundation of this book. Through his work at Patna University, he continues to inspire students and practitioners to move beyond simply using algorithms and to become true architects of intelligent systems.
