Graphical User Interface | Udemy Coupons 2025

This course explores the principles and practices behind building modern, responsive, and maintainable user interfaces. Participants will gain a deep understanding of how information and data flow through interactive and reactive user interfaces, emphasizing the importance of data binding, external data integration, and event handling.

The course introduces the Model-View-ViewModel (MVVM) design pattern as a foundation for layered design and separation of concerns, enabling scalable and testable presentation layer implementation of a computer program. Attendees will learn how to shape user interface behavior and appearance through effective rendering strategies, while mastering techniques for exposing and entering data seamlessly.

Key topics include:

1. Structuring the user interface with layered design patterns
2. Implementation of the Model-View-ViewModel (MVVM) design pattern
3. Implementing inter-layer communication
4. Designing for reactivity and data-driven rendering
5. Managing UI events and user interactions
6. Best practices for data exposure and input handling

Structuring a user interface with layered design patterns means organizing the program text of a user interface into distinct, logical layers, each as a set of custom types. Each layer has a well-defined role and communicates only with adjacent layers. This approach improves the separation of concerns,  maintainability, testability, and scalability of the application. In user interface development, this often aligns with patterns like MVVM (Model-View-ViewModel).

Implementation of the Model-View-ViewModel (MVVM) design pattern refers to applying a structured approach to building a program presentation layer by separating concerns into three distinct layers: Model, View, and ViewModel. This pattern is especially popular in modern libraries.

By the end of the course, developers will be equipped to build a robust, maintainable user interface that responds fluidly to both user input and dynamic data sources. All topic examinations are backed by examples gathered in a GitHub public repository.