Learners will apply machine learning models, design intuitive interfaces, and implement real-time image and text classification to build intelligent iOS applications. By completing this course, learners will gain hands-on experience integrating Core ML 3 and Vision into practical workflows, enabling them to develop apps that recognize images, classify text, and interact seamlessly with device cameras.

This course provides a guided, end-to-end learning path—from setting up an Xcode project and managing permissions to processing images, handling orientation metadata, and executing predictions using pre-trained and custom models. Learners also explore creating their own text classification datasets and integrating model outputs into user-friendly UI components. What makes this course unique is its practical, project-based approach, using real Core ML models, real device capabilities, and real examples that mirror professional iOS development scenarios. Instead of focusing on theory alone, learners build functioning ML-powered features step by step, gaining confidence to deploy intelligent apps on Apple platforms. By the end, they will have a complete workflow for adding machine learning to any iOS app.