Designing & Modeling Generative AI Applications

By: Ajit Singh

Narrated by: Virtual Voice

"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 models and architectures and immediately connect that theory to practical implementation. I aim to demystify complex topics, breaking them down into digestible, first-principle components, and empowering the reader to think like a Generative AI engineer—capable of designing, modeling, and deploying solutions to real-world problems.



Key Features

1. Globally Relevant: The content is designed to be compatible with undergraduate (B.Tech) and postgraduate (M.Tech) computer science courses at universities worldwide.
2. Full Lifecycle Coverage: Addresses every stage of a Generative AI project: Ideation -> Design -> Modeling -> Fine-Tuning -> Deployment -> Monitoring.
3. Focus on Design and Architecture: Goes beyond just models to teach how to design robust, scalable, and efficient application architectures.
4. Ethical AI Integration: A dedicated chapter on Responsible AI, covering fairness, bias, transparency, and the societal impact of Generative AI technologies.



To Whom This Book Is For

1. B.Tech/M.Tech Computer Science Students: As a primary textbook for courses on Artificial Intelligence, Machine Learning, and specialized Generative AI electives.
2. Aspiring AI/ML Engineers: As a practical guide to gain the in-demand skills required for a career in Generative AI.
3. Software Developers and Architects: Who wish to integrate Generative AI capabilities into their products and services.
4. Researchers and Academics: As a foundational text covering the latest models, techniques, and future research directions.
5. Technology Enthusiasts and Hobbyists: Who are eager to learn and experiment with building their own Generative AI projects.