Tiny but Mighty. Edge AI Engineering: Quantization, Pruning, and On-Device ML for Embedded Systems (en Inglés) - RICHARD BOOZMAN

Powerful AI does not have to live in the cloud.

From smart cameras to wearable devices and industrial sensors, intelligent systems are moving closer to the edge. The challenge is making models smaller, faster, and efficient enough to run on limited hardware.

"Tiny but Mighty" is a practical, engineering focused guide to building optimized AI systems for edge devices using Python and modern machine learning frameworks.

This book teaches you how to compress, optimize, and deploy models that perform efficiently in real world embedded environments.

Cloud based AI has limitations:

Edge AI solves these challenges by running models directly on devices.

With the right techniques, you can:

Throughout the book, you will learn how to:

Each chapter focuses on practical optimization workflows.

These examples reflect real world deployments.

If you want to deploy AI models outside the cloud and into real devices, this book provides the roadmap.

Optimize aggressively.
Deploy efficiently.
Build AI at the edge.