25 Hands-On Projects
Every chapter includes complete, buildable projects with parts lists, wiring diagrams, and tested source code. Topics span machine learning on microcontrollers, sensor fusion, real-time audio processing, anomaly detection, and a full hardware AI MIDI synthesizer with custom PCB design.
Companion Code Repository
All example code, trained models, and project files are available on GitHub under an MIT licence. Clone the repository, connect your hardware, and build. Code releases are timed to each early access chapter drop.
Written for Engineers, Makers, and Students
Whether you are an embedded engineer adding AI to your skill set, an ML practitioner deploying to constrained devices, or a student grounding theory in real hardware, this book provides a clear path forward.