Building Generative AI for Enterprise

Generative AI is transforming the corporate world, and understanding its core architecture is now essential for every tech professional. This book serves as a complete roadmap, guiding you from the theoretical foundations of transformer models to the successful deployment of production-ready AI systems.

This book systematically covers the AI lifecycle, moving from transformer foundations and SOTA models like GPT-4o to advanced prompt engineering and fine-tuning with LoRA on Google Colab. You will progress through building RAG systems and Knowledge Graphs with LangChain, eventually developing autonomous agents using ReAct and LlamaIndex. Finally, the book details deploying scalable systems via FastAPI and Kubernetes while ensuring security through AI governance and Microsoft’s Responsible AI Toolbox.

By the end of this book, you will have built real-world projects in healthcare and finance. This book equips practitioners with the skills and confidence needed to build, deploy, and enhance generative AI systems that are enterprise-ready and future-proof.

WHAT YOU WILL LEARN
● Build end-to-end generative AI systems for enterprises.
● Apply practical approaches to real-world AI projects.
● Develop a strong understanding of AI models.
● Master in-demand skills like advanced prompt engineering.
● Implement retrieval-augmented generation for business data.
● Solve concrete business problems using AI techniques.

WHO THIS BOOK IS FOR
This book is for IT professionals, students, and enterprise data science teams aspiring to build AI systems. It requires basic Python programming knowledge, but no prior experience with machine learning is necessary, making it ideal for software engineers and aspiring architects.

1. Introduction to Transformer Models
2. The SOTA GenAI Models
3. GenAI in Industry
4. Prompt Engineering
5. Fine-tuning Generative Models
6. Enhancing GenAI with RAG
7. Advanced RAG in Action
8. Agentic Workflows
9. Deploying GenAI Systems
10. AI Governance and Ethics
11. Future of Generative AI

Devesh Rajadhyax is a successful entrepreneur and thought leader in software technology. He has co-founded three technology companies in his career spanning more than 25 years. Currently, he is the co-founder and CEO of Cere Labs, a company focused on developing enterprise AI solutions. Devesh has developed AI solutions for domains ranging from healthcare, manufacturing, pharmaceuticals and engineering. He has multiple patents to his name. This is his second book about generative AI. His first book on decoding GPT was enthusiastically received by both students and professionals.

Devesh is a post-graduate in control system engineering. He has written extensively on topics in ML and AI and has spoken on numerous platforms. He also serves as an industry expert on the board of many engineering and management institutions.