This book is a comprehensive guide to TinyML, focusing on its foundations and practical applications using Arduino microcontrollers and MATLAB. It will empower readers with the knowledge and skills to implement machine learning models on resource-constrained devices, bridging the gap between cutting-edge technology and real-world applications. With an emphasis on innovation, efficiency, and accessibility, the book provides a roadmap for leveraging TinyML to solve complex problems in areas such as IoT, robotics, and embedded systems. The content is structured to offer a seamless learning experience, starting with the fundamentals of TinyML and progressing to advanced techniques for deploying models on Arduino microcontrollers. Readers will explore topics such as data preprocessing, feature extraction, and model optimization, all within the MATLAB environment. Practical examples and hands-on projects are included to demonstrate key concepts, from building predictive models to implementing real-time applications. Each chapter is designed to provide actionable insights, ensuring readers can apply their knowledge to diverse scenarios. With its accessible language and practical focus, this book is a valuable tool for professionals and educators in IoT, automation, and smart systems, offering a dependable guide for learning or teaching TinyML concepts.