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Starts 6 July 2025 11:30

Ends 6 July 2025

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How to Make an AI iOS for Personal Use

Unleash the potential of Apple's machine learning technologies in your iOS app development with our comprehensive guide. This tutorial walks you through creating an end-to-end iOS application utilizing Create ML and CoreML. You will learn to implement on-device AI solutions, ensuring user data privacy by eliminating the need for data transmis.
WeAreDevelopers via YouTube

WeAreDevelopers

2825 Courses


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Overview

Unleash the potential of Apple's machine learning technologies in your iOS app development with our comprehensive guide. This tutorial walks you through creating an end-to-end iOS application utilizing Create ML and CoreML.

You will learn to implement on-device AI solutions, ensuring user data privacy by eliminating the need for data transmission over networks. Ideal for developers eager to integrate sophisticated AI directly into apps.

Join us to expand your skills in Artificial Intelligence and harness the power of on-device machine learning.

This course, available on YouTube, belongs to the realms of Artificial Intelligence Courses and Conference Talks. Dive into the future of app development with this essential learning opportunity.

Syllabus

  • Introduction to AI on iOS
  • Overview of AI applications on iOS
    Key considerations for on-device AI
  • Setting Up Your Development Environment
  • Installing Xcode and Swift
    Overview of Create ML and CoreML
  • Understanding Machine Learning Basics
  • Types of machine learning: supervised, unsupervised, reinforcement
    Key terminology and concepts
  • Introduction to Create ML
  • Overview of Create ML capabilities
    Setting up a basic Create ML project
    Training a simple model with Create ML
  • Introduction to CoreML
  • Converting machine learning models to CoreML format
    Integrating CoreML models in an iOS app
  • Building Your First AI iOS App
  • Designing the app interface using SwiftUI
    Implementing CoreML model predictions in the app
    Handling model input and output in real-time
  • Advanced Create ML Features
  • Customizing training with hyperparameter tuning
    Image classification and text analysis
  • Optimizing AI Models for iOS
  • Techniques for reducing model size and improving efficiency
    Tools for evaluating model performance on iOS
  • Privacy and Ethics in On-Device AI
  • Best practices for ensuring user data privacy
    Ethical considerations for AI app development
  • Testing and Deploying Your AI iOS App
  • Strategies for testing AI functionalities
    Preparing the app for the App Store submission
  • Final Project
  • Design and develop a personalized AI-powered iOS application
    Showcase features and model capabilities
  • Course Summary and Next Steps
  • Recap of key learning outcomes
    Resources for continued learning and development in AI and iOS

Subjects

Conference Talks