In this course, you'll discover how to work with the different data access patterns. You'll learn about repositories, unit of work, lazy loading, and understand why these patterns exist and how to implement them in a C# application.

Are you finding that creating instances of your complex objects clutter your code? In this course, you will learn how to leverage the Factory and Abstract Factory patterns to reduce the noise and make your code easier to maintain and navigate.

Discover how to work with the mediator pattern. You will understand why this pattern exists and how to implement this in a C# application.

In this course, you'll discover how to work with the strategy pattern, one of the most common patterns. You will understand why this pattern exists and how to implement this in a C# application.

This course will teach you how C# interfaces can help add flexibility to your applications.

Generics allow you to write type-safe, reusable, and performant C# code. This course will teach you how to build generic classes, generic interfaces, and generic methods, and how to use them in your .NET applications.

This course teaches you how to use the LINQ syntax to select, filter, extract, partition, identify, union, join, group, and aggregate data contained within collections.

Learn how to best use the advanced language features of C#. This course will teach you how to apply each of them in a real application, as well as where they are best suited.

Maintaining code is not easy, especially when it is poorly written and hard to understand. This course will teach you how to create clean code, that is easy to maintain and extend, by following the C# best practices and coding conventions.

This course covers best practices for using C# collections and generics, guiding you on the path from apprentice, to skilled C# software developer.

This course covers best practices for using basic C# features, guiding you on the path from apprentice to skilled C# software developer.

Learn to use concurrent collections effectively to store data in a multithreaded environment, keeping the code efficient and avoiding data corruption and race conditions.