Integrate Machine Learning into iOS apps. Master CoreML for on-device vision and text models, and SwiftData for modern persistence.
Smart apps run ML on the edge. This course teaches you to integrate Machine Learning directly into iOS applications using CoreML. You will learn to use pre-trained models for image classification and text analysis, and even train simple models using Create ML. We also dive deep into SwiftData, Apple's modern persistence framework, to store complex model results and user data efficiently. This is the intersection of modern iOS engineering and AI.
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
Focus is on *inference* (using models), simple training.
No, Apple provides tools to convert/train models.
SwiftData is the modern, cleaner replacement.
Mac required; recent iPhones enable better ML.
3 recommended paths based on what you're learning
Your Swift Data & CoreML skills unlock something bigger: Mobile DevOps. Here's the path.
People who combine Swift Data & CoreML with Analytics tend to stand out. Here's how.
Work faster, not harder. Expo + AI Copilot was built to build React Native apps faster.