Hands-On Edge AI: End-to-End Deployment with TensorFlow Lite, ONNX, and Core ML - Softcover

Koele, Haider

Softcover

ISBN 13: 9798297400054

Publisher: Independently published, 2025

Synopsis

Bring AI to the palm of your hand—literally.
If you’ve ever wondered how to run powerful machine learning models directly on a phone, a Raspberry Pi, or any other edge device—but felt overwhelmed by the complexity—this book is your friendly, step-by-step guide to making it happen. No PhD required, no intimidating jargon, just clear explanations, practical examples, and a confidence-building path from your very first model to full, real-world deployment.

Hands-On Edge AI demystifies the entire process of deploying AI on-device, walking you through TensorFlow Lite, ONNX, and Core ML—three of the most important tools for bringing intelligence to mobile, embedded, and cross-platform systems. You’ll learn not just the “how,” but the “why” behind each step, so you can adapt your skills to any project or platform.

Inside, you’ll discover how to:

• Train, optimize, and convert models for different environments without losing accuracy.

• Deploy AI to Android, iOS, and Raspberry Pi using platform-specific workflows.

• Use quantization, pruning, and other optimization techniques to run models efficiently on limited hardware.

• Debug common deployment issues and benchmark your model’s performance in the real world.

• Protect user data with privacy-first design and on-device inference.

Whether you’re a curious beginner, a mobile app developer, or an embedded systems enthusiast, this book gives you everything you need to build practical, working AI applications that run anywhere.

Why you’ll love this book:

• Beginner-friendly: Assumes no prior experience with AI deployment; every concept is broken down into digestible steps.

• Hands-on learning: Complete, working code examples you can adapt immediately.

• Real-world relevance: Focus on deployable solutions, not just theory.

• Encouraging tone: Mistakes are part of the process—and every challenge is an opportunity to learn.

By the end, you won’t just understand how Edge AI works—you’ll have the confidence and skills to bring your own intelligent applications to life, anywhere and on any device.

If you’re ready to stop reading about AI and start building it, your journey begins here. Turn the page, fire up your code editor, and let’s deploy something amazing—together.

Edition details

• Publisher: Independently published
• Publication date: 2025
• Language: English
• ISBN 13: 9798297400054
• Binding: Paperback
• Number of pages: 157