4118 Computing courses delivered On Demand

This course delves into the rudiments of unit testing, including the red-green-refactor cycle, and provides in-depth knowledge on testing and implementing business logic in a .NET Core application, Develop the ability to design, write, and execute unit tests using xUnit and Moq for robust and scalable .NET Core applications.

Swagger is one of the most popular tools used in API development as it has simplified the process of API design, documentation, and testing. Level up your API development skills by adding Swagger to your skillset. This course will provide significant knowledge on understanding and using Swagger tools. Gain the confidence to instantly apply Swagger Tools tips covered in the course in your next OpenAPI project.

Create 3 useful desktop applications with web technologies using Electron

This is a fun project-based course to learn how to create awesome layouts using the Tailwind CSS framework and to get comfortable using utility classes over something like Bootstrap, which uses component-based classes. Experiment and learn all about certain aspects of Tailwind with the help of this course.

Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.

This beginner to the intermediate-level course on .NET MAUI mobile application development enables you to advance your Visual Studio coding skills and implement interfaces using XAML. Learn to develop and publish Minimal API with .NET Core using event driven development while understanding logic and syntax when working on the .NET environment.

Welcome to the Bootcamp course. You will obtain a firm understanding of machine learning with this course. By doing so, you will be able to develop machine learning solutions for various challenges you might encounter and be prepared to start using machine learning at work or in technical interviews.

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