Overwhelmed by the explosion of generative AI tools—and unsure how to actually build something useful with Python? You’re not alone. The AI landscape moves fast, models evolve monthly, and most tutorials only teach you to copy code you’ll outgrow in a week. This book cuts through the noise and teaches you future-proof generative AI skills that will still matter as the ecosystem keeps shifting.

You’ll learn the fundamentals that don’t go out of style (tokenization, embeddings, prompt engineering, transformers, diffusion, and fine-tuning) and see exactly how they translate into practical Python workflows. Build text, image, and code generators using modern libraries like PyTorch, Hugging Face, and LangChain. Understand not only how to use these tools, but why they work, so you can adapt your code as models and frameworks continue to evolve.

From building RAG applications with your own data to evaluating model outputs and deploying them responsibly, you’ll gain the skills to design real, production-ready AI systems instead of relying on black-box APIs. Whether you're a Python developer, data scientist, or ML engineer expanding into generative AI, this book gives you the foundation and flexibility to stay ahead in a rapidly changing field.

What You’ll Learn

Core concepts behind LLMs, transformers, embeddings, and diffusion models
How to generate text, images, and code using modern Python libraries
Prompt engineering techniques that dramatically improve output quality
How to fine-tune models for your use case, including instruction tuning
Build retrieval-augmented generation (RAG) apps with your own data
Evaluation techniques to measure and improve AI output
Deployment strategies for scalable and secure AI applications
How to design AI workflows that remain adaptable as models and tools evolve

About the Author

Bert Gollnick is a senior data scientist who specializes in renewable energies. For many years, he has taught courses about data science and machine learning, and more recently, about generative AI and natural language processing. Bert studied aeronautics at the Technical University of Berlin and economics at the University of Hagen. His main areas of interest are machine learning and data science.

"About this title" may belong to another edition of this title.

Store Description

Visit Seller's Storefront

Seller's business information

RAREWAVES.COM LIMITED
Elsley Court, 20-22 Great Titchfield Street, London, W1W 8BE, United Kingdom

Sale & Shipping Terms

Terms of Sale

Shipping Terms

Please note that we do not offer Priority shipping to any country.

We currently do not ship to the below countries:

Russia
Belarus
Ukraine
Israel

Please do not attempt to place orders with any of these countries as a ship to address - they will be cancelled.

Shipping rates from United Kingdom to U.S.A.

Shipping rates from United Kingdom to U.S.A.
Order quantity	12 to 17 business days	12 to 17 business days
First item	US$ 0.00	US$ 0.00

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.