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Clean Architecture: Patterns, Practices, and Principles

In this course, you will learn about Clean Architecture, a set of modern patterns, practices, and principles for creating software architecture that is simple, understandable, flexible, testable, and maintainable.

Matthew Renze - Pluralsight course - Clean Architecture: Patterns, Practices, and Principles
by Matthew Renze

What you'll learn

Hello, and welcome to Pluralsight! My name is Matthew Renze, and I want to give you a quick overview of my course, Clean Architecture: Patterns, Practices, and Principles. It’s designed to help you learn how software experts keep their architecture clean using a modern approach to software architecture called Clean Architecture, and covers things like domain-centric architecture, application layers, CQRS (Command-Query Responsibility Separation), event sourcing, functional cohesion, bounded contexts, and more. In addition, you'll use these practices to replace the outdated three-layer database-centric architecture that has been used for decades. Most important though, you'll see how these practices, when combined, create an architecture that is simple, understandable, flexible, testable, and maintainable. When you’re done, you’ll have the skills necessary to understand and implement these clean architecture practices on your own software projects.

As an introductory course, there are no prerequisites for this course. However, having basic experience with at least one C like programming language, and basic knowledge of software architecture will be beneficial.

I look forward to working with you on Clean Architecture: Patterns, Practices, and Principles, here at Pluralsight.

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About the author

Matthew Renze - Pluralsight course - Clean Architecture: Patterns, Practices, and Principles
Matthew Renze

Matthew Renze is an AI researcher, consultant, and author. As the founder of Renze Consulting, he has trained over 500,000 software developers and IT professionals. As the president of the Renze AI Research Institute, he researches cognitive architectures for agentic AI systems. Matthew has a Master's degree in Artificial Intelligence from Johns Hopkins University. He is a Microsoft MVP in AI, a Microsoft Regional Director, and an author for Pluralsight. You can learn more at https://matthewrenze.com/

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