Cloud vs On-device AI: Choose the right architecture for your iOS app. We break down the trade-offs between API-driven intelligence and Core ML to help you avoid massive server bills and latency bottlenecks.

Machine learning for iOS developers: what “ML” actually is, how Core ML runs models on-device, and what a neural network really means in practice.

We’ll build a clean mental model for training vs inference, why data matters more than architecture, and how to think about ML like a shippable feature—not a research project.