TinyML Made Easy: Machine Learning on Micro controllers: Practical IoT projects that bring AI to Arduino-class devices for beginners Hardcover – August 28, 2025

Tiny ML Made Easy is your hands-on guide to building real-world machine learning applications on ultra-low-power microcontrollers like the Arduino Nano 33 BLE Sense, ESP32, and Raspberry Pi Pico. Designed for curious beginners, hobbyists, and IoT enthusiasts, this project-driven book makes embedded AI accessible, practical, and fun—no prior experience with ML or embedded systems required.Inside, you’ll build practical, end-to-end TinyML projects that include:Motion detection with accelerometers and gesture recognitionVoice-controlled assistants and keyword spottingEnvironmental monitoring using sound, temperature, and light sensorsOn-device anomaly detection for predictive maintenanceReal-time inferencing on ultra-low-power devices without internetThrough clear explanations and step-by-step instructions, you’ll learn how to collect and preprocess sensor data, train simple machine learning models using TensorFlow Lite for Microcontrollers, and deploy them directly to hardware—all while working within the extreme constraints of memory, power, and compute.What You'll Learn:The basics of machine learning tailored for microcontrollersSetting up your TinyML development environment quicklyHow to use Arduino, TensorFlow Lite, and Edge Impulse togetherBest practices for efficient model deployment on embedded devicesTechniques to optimize performance and battery life for edge AI applicationsWhether you're an educator, a maker, or an aspiring AI developer, Tiny ML Made Easy is your gateway to bringing intelligence to the edge—one small project at a time. Read more