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Starts 4 June 2026 08:17

Ends 4 June 2026

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Intelligent Features & Architecture in iOS Development

Explore advanced iOS development by integrating Apple ML, Siri via App Intents, Swift testing techniques, and scalable app architectures to build intelligent, high-performing applications.
Packt via Coursera

Packt

2868 Courses


3 hours

Optional upgrade avallable

Intermediate

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

This course delves into advanced iOS development, focusing on integrating intelligent features like Apple ML and app architecture best practices. You'll learn to enhance app functionality and user experience with AI-driven features such as Siri integration and advanced Swift testing techniques.

Through hands-on learning, you'll implement machine learning models, use App Intents to make your apps smarter, and boost app quality with advanced testing methods. The course also explores essential iOS architectures, ensuring your app is robust and scalable.

What sets this course apart is its combination of real-world examples and theory, enabling learners to apply cutting-edge technologies in their app development workflows. It is designed to empower developers with both the technical skills and architectural knowledge needed to build high-performing, intelligent iOS applications.

Ideal for intermediate to advanced iOS developers looking to integrate machine learning, Siri functionality, and implement best practices in app architecture. Basic knowledge of Swift and iOS app development is recommended.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Syllabus

  • Being Smart with Apple Intelligence and ML
  • This module introduces learners to the integration of machine learning and artificial intelligence within Apple's ecosystem. You will explore practical applications such as word tagging, face detection, semantic search, and custom model integration using CoreML. The module also covers the fundamentals of training ML models and their real-world use cases in iOS.
  • Exposing Your App to Siri with App Intents
  • This module introduces you to integrating your app with Siri using App Intents, covering the creation and customization of intents, handling user input and confirmations, and leveraging Apple Intelligence for natural language interactions. You'll gain hands-on experience in building and chaining app intents to enhance your app's voice-driven capabilities.
  • Improving the App Quality with Swift Testing
  • This module introduces the fundamentals of testing in Swift, emphasizing its role in the development cycle for iOS apps. Learners will explore techniques for enabling, disabling, and managing tests, as well as strategies for writing testable code and utilizing Xcode test plans. By the end, you'll be equipped to improve app quality through effective testing practices.
  • Exploring Architectures for iOS
  • This module introduces key architectural patterns for iOS development, focusing on layering, code organization, and the concept of ports and adapters. Learners will explore strategies for structuring projects to enhance maintainability and scalability, and practice connecting architectural components in a real-world app context.

Taught by

Packt - Course Instructors


Subjects

Programming