Tinyml for Beginners: A Practical Guide to Building Machine Learning Models on Microcontrollers and Edge Devices

By USHER C. HARMAN

Unlock the world of TinyML with a clear, beginner-friendly guide designed to help anyone build intelligent, low-power AI systems. This book breaks down complex concepts into simple steps, showing you exactly how to run machine-learning models on microcontrollers, sensors, and small edge devices - even with zero prior experience.

Inside, you'll learn how to collect and prepare data, train lightweight models, deploy them on popular boards like Arduino and ESP32, and create real projects you can use in everyday life. Each chapter focuses on practical skills, hands-on examples, and clear explanations to help you understand why things work, not just how.

Whether you're a student, hobbyist, engineer, or someone exploring the future of AI, this guide gives you the confidence to build efficient on-device intelligence without expensive hardware or advanced programming knowledge.

What you'll gain from this book:

A solid foundation in TinyML and embedded AI

Step-by-step training and deployment workflows

Real-world projects you can build immediately

Skills to optimize and run models on low-power devices

Confidence to create smart, efficient systems on your own

Start your journey into the future of AI - one small device at a time.

• Format: Paperback
• Language: English
• ISBN: B0G4ZY469W
• ISBN13: 9798277209851
• Release Date: December 2025
• Publisher: Independently Published
• Length: 158 Pages
• Weight: 0.63 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"