Packt

Data-Driven Apps with Core Data, ML, and App Architecture

Packt

Data-Driven Apps with Core Data, ML, and App Architecture

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Gain hands-on experience building data-driven apps using Core Data and Swift Data.

  • Implement machine learning models in iOS apps with Core ML and Create ML.

  • Learn how to structure apps for better maintainability and scalability.

  • Master techniques for working with app localization, UI enhancements, and notifications.

Details to know

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Recently updated!

February 2026

Assessments

6 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Deep Dive into iOS & SwiftUI: 80-Hour Project Course Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

In this module, we will explore how to build a fully functional math game using Core Data. You will learn to implement high score management, design the game logic, and refine the UI with dynamic assets and localization. By the end, you'll have the skills to create an engaging data-driven game app with smooth user interactions.

What's included

28 videos2 readings1 assignment

In this module, we will focus on migrating from Core Data to Swift Data to take advantage of its modern features. You'll learn how to refactor models and views, simplify data operations, and improve the overall architecture of the game for better performance and scalability.

What's included

8 videos1 assignment

In this module, we will guide you through creating a Titanic survival prediction app using CoreML and CreateML. You will learn to train a model, integrate it into your app, and build an intuitive UI for collecting data and displaying predictions. This will be a hands-on experience with machine learning integration in a real-world application.

What's included

6 videos1 assignment

In this module, we will walk you through the process of building a comprehensive alarm app, from the ground up. You'll work on everything from project setup and custom icon creation to building advanced features like time selection, sound management, and push notifications. By the end, you'll be ready to deploy an engaging, fully functional alarm app.

What's included

74 videos1 reading3 assignments

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Instructor

Packt - Course Instructors
Packt
1,395 Courses 375,627 learners

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