Master Core ML tasks for iOS including Image Classification, Object Detection, and Regression. Learn how to choose the right machine learning approach for your Swift apps using Apple's Vision and Natural Language frameworks.

Stop treating Core ML models like black boxes. Learn the mechanics of weights, biases, and loss functions through the lens of an iOS developer to build more predictable AI features.

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.