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Mastering SwiftData & SwiftUI for iOS Development
Mastering SwiftData & SwiftUI for iOS Development
Instructor: Packt - Course Instructors
Included with
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
Implement complex data management features using SwiftData in iOS apps.
Design custom SwiftUI components and views to enhance app interaction.
Integrate CloudKit for syncing app data across devices seamlessly.
Use concurrency in SwiftData to optimize app performance and data handling.
Skills you'll gain
Details to know
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Recently updated!
December 2025
Assessments
8 assignments
Taught in English
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There are 7 modules in this course
In this module, we will introduce the course and explain the essential goals of mastering SwiftData and SwiftUI. You'll gain an understanding of the technologies used in iOS development and what you’ll learn in the upcoming sections.
What's included
1 video1 reading
In this module, we will build a Todo app to explore key concepts like queries, fetch descriptors, and CloudKit integration. You'll learn how to manage data and sync it seamlessly across devices while implementing common app functionalities.
What's included
13 videos1 assignment
In this module, we will dive into building a contacts app. You’ll learn how to set up your data model with SwiftData, create a user-friendly interface, and implement key features such as adding, deleting, and searching contacts.
What's included
27 videos1 assignment
In this module, we will build an undo/redo manager using Verba. You'll create a dynamic app where users can easily undo and redo their changes, all while understanding the architecture that supports this functionality.
What's included
14 videos1 assignment
In this module, we will build a Book Library app, focusing on creating relationships between different models and performing migrations. You’ll also learn how to inspect and manage data within a database, crucial for larger apps.
What's included
15 videos1 assignment
In this module, we will build an app called Meshify, which allows you to create advanced mesh gradients. You’ll work through model creation, drag-and-drop interactions, and extend the project to offer more advanced features like color matrix generation.
What's included
40 videos1 assignment
In this module, we will cover the importance of concurrency in SwiftData. Through examples, you’ll see how to handle large datasets efficiently, with practical use cases such as batch loading articles and enhancing app performance with multi-threading.
What's included
11 videos3 assignments
Instructor
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Frequently asked questions
SwiftData and SwiftUI are Apple’s modern frameworks designed to streamline iOS app development. SwiftUI simplifies UI creation through a declarative syntax, while SwiftData provides a native, lightweight data persistence solution integrated with modern Swift features. Together, they enable developers to build powerful, responsive, and data-driven apps efficiently. Their relevance lies in replacing older, more complex frameworks like Core Data and UIKit, making them essential for modern iOS development.
This course offers a deep dive into mastering SwiftData and SwiftUI to build dynamic and efficient iOS applications. It covers key concepts such as data modeling, queries, predicates, CloudKit integration, and concurrency management. Through hands-on projects—including a Todo App, Contacts App, Undo/Redo Manager, Book Library system, and advanced Meshify visual editor—you’ll gain real-world experience in building scalable, feature-rich applications using Apple’s latest frameworks.
After completing this course, you will be able to confidently design, develop, and deploy iOS applications using SwiftData and SwiftUI. You’ll understand how to manage data persistence, implement CRUD operations, handle concurrency, and integrate CloudKit for cloud-based synchronization. Additionally, you’ll learn to create interactive UIs, optimize database performance, and utilize advanced Swift concepts like @ModelActor, lightweight migrations, and dynamic UI updates for production-level apps.
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