Generative AI with Python: Harness the Power of Python for Building Generative AI Models

Rheinwerk Publishing, Inc · Bert Gollnick

Apr 2026 · Packt Publishing Ltd

Ebook

395

Pages

Tools

About this ebook

Unlock the world of generative AI with Python. Explore the intricacies of deep learning, large language models, and applications in business and consumer tech.Key Features

In-depth coverage of Python's role in generative AI
Hands-on coding exercises using state-of-the-art tools like Hugging Face
Comprehensive understanding of model training, fine-tuning, and deployment

Book DescriptionGenerative AI with Python introduces readers to the fascinating world of AI model development. It begins with essential concepts in AI and deep learning, building a solid foundation for working with generative models. You will explore how to create models that generate text, images, and more, with clear, practical examples. The book provides an in-depth look at large language models and pretrained tools like Hugging Face, demonstrating how they can be leveraged in real-world applications. Each chapter blends theoretical concepts with hands-on coding exercises to ensure you understand both the principles and practical implementation of generative AI. Starting with the basics of natural language processing and deep learning, the book guides you to more advanced applications such as text summarization, image generation, and model fine-tuning. You'll also learn about optimizing AI models and deploying them in various environments. By the end of the book, you’ll be able to confidently build AI-driven applications with Python, capable of transforming business processes and enhancing consumer products.What you will learn

Understand the basics of generative AI and deep learning
Learn how to build generative AI models using Python
Work with large language models and pretrained tools like Hugging Face
Implement real-world applications such as text summarization and image generation
Explore model fine-tuning, optimization, and deployment for various uses
Gain hands-on experience with coding exercises and AI projects

Who this book is for

This book is ideal for Python developers, data scientists, and AI enthusiasts looking to explore generative AI. A basic understanding of Python programming and machine learning concepts is recommended. Prior experience with libraries such as TensorFlow or PyTorch will be helpful but not essential. The book is suitable for those interested in applying generative AI in business, technology, or creative industries.

Unlock the world of generative AI with Python. Explore the intricacies of deep learning, large language models, and applications in business and consumer tech.Key Features In-depth coverage of Python's role in generative AI Hands-on coding exercises using state-of-the-art tools like Hugging Face ...

Discover more

About the author

The Rheinwerk Computing series offers new and established professional comprehensive guidance to enrich the readers' skillsets and enhance their career prospects. Their publications are written by leading experts in the fields of programming, administration, security, analytics, and more. Each book is detailed and hands-on to help readers develop essential, practical skills that they can apply to their daily work.

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.

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and computers

You can listen to audiobooks purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.

Flag as inappropriate