Swift + Python ML Project: Data Structures, Protocol-Oriented Programming, Error Handling, Concurrency, SwiftUI, and ML Model Integration
Build robust iOS applications with integrated Python ML models, mastering Swift fundamentals and advanced techniques for a seamless user experience.
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Swift Fundamentals and UI Development
Unit 1: Swift Data Structures
Arrays: The Basics
Arrays: Performance
Dictionaries: Key-Value
Unit 2: Protocol-Oriented Programming
Protocols: The Basics
Protocol Extensions
Unit 3: Error Handling and Concurrency
Error Handling: Do-Catch
Error Handling: Result
Concurrency: Async/Await
Unit 4: SwiftUI Basics
SwiftUI: Hello World
SwiftUI: Layout Basics
ML Model Integration and Optimization
Unit 1: Introduction to ML Model Integration
ML in iOS: An Overview
Core ML: A Quick Look
Unit 2: Preparing Python Models for Swift
Exporting Models to ONNX
Converting ONNX to Core ML
Unit 3: Integrating Core ML in Swift
Adding Core ML to Xcode
Making Predictions
Handling Model Errors
Unit 4: Advanced Integration and Optimization
Async Predictions
Optimizing Model Size
Unit 5: UI for ML Results
Displaying ML Results