English | 2025 | ISBN: 9365897076 | 294 pages | PDF
Generative AI is changing the way we think about creativity and problem-solving. This book is your go-to guide for understanding and working with this exciting technology.
This book offers a clear introduction to generative AI, starting with basics like machine learning and deep learning. You will discover how Transformer models like GPT have transformed natural language processing and enabled advancements in language generation. Practical tips for creating your own generative AI models, along with insights into the future of this groundbreaking field, making it an essential resource for AI enthusiasts and professionals.
By the end of this book, you will have a firm grasp of generative AI concepts and practical skills to get you started. You will be well-prepared to use cloud platforms like AWS, Azure, and GCP to build and launch powerful generative AI projects.This book gives you the skills and confidence to explore the limitless potential of generative AI.
Who this book is for
This book is designed for data scientists, machine learning engineers, software developers, cloud professionals, educators, students, and creative professionals.
Table of Contents
1. Introduction to Generative AI
2. Generative Adversarial Networks
3. Variational Autoencoders
4. Transformer Models and Language Generation
5. Image Generation and Style Transfer
6. Text Generation and Language Models with Real-time Examples
7. Generative AI in Art and Creativity
8. Exploring Advanced Concepts
9. Future Direction and Challenges
10. Building Your Own-Generative AI Models
11. Conclusion and Outlook
Appendices
