The smartphone in your pocket is more powerful than the computers that sent humans to the moon, and until recently its most impressive capability was locked behind a network connection. Every translation, plant identification, and photo enhancement traveled to a distant server and back. That model came with hidden costs in latency, privacy, and reliability. A shift is underway that moves intelligence onto the device itself, and it is creating a new category of software development. This book is the practical bridge for developers who want to build AI powered iOS and Android apps using on device machine learning with Core ML and TensorFlow Lite.
The book moves from foundations to production in 14 chapters. You will understand why on device intelligence matters, build your cross platform toolchain, learn how on device ML actually works, and master Core ML and TensorFlow Lite in depth. You will convert and optimize models without the pain, build computer vision and NLP apps, run language models on device, and use Claude Code to accelerate every stage of the process.
Later chapters cover performance profiling and battery optimization, privacy preserving mobile AI, and shipping to production. The book pairs practical workflows with the reasoning behind them, so the skills survive the inevitable churn of frameworks and model releases. The convergence of powerful hardware, mature frameworks, and AI assisted development tools means a single developer can now do what once required a team of specialists. This book hands you that capability, starting from the first chapter.
