Deploying code to production can be a manual and difficult process for many software engineers and IT professionals. In this course, Practicing CI/CD with AWS CodePipeline, you’ll learn the best way to promote your code to a built and deployed application in AWS with CodePipeline. First, you’ll explore creating robust and performant pipelines. Next, you’ll discover how to add functionality, such as testing and approvals. Finally, you’ll learn how to invoke Lambda functions and monitor the progress of the pipeline, including receiving notifications. When you’re finished with this course, you’ll have the skills and knowledge of CodePipeline needed to build, test, and deploy all of your software projects.
Course Overview [Autogenerated] Hi, everyone. My name is Ryan Lewis. And welcome to my course practicing C I c d with aws codepipeline. I've been architect ing applications in eight of us for many years in my work for large enterprises as a cloud engineer, and I've used codepipeline for C I, C. D and both large and small projects. Coding and development is just one part of creating software. And figuring out how to get your awesome application to users isn't easy. If you're working in eight of us than Codepipeline is going to be your new best friend for building and deploying your applications. In this course, we're going to create a pipeline in Codepipeline to build and deploy a demo application. Some of the major topics that we will cover include deployment from codepipeline running automated tests, invoking Lambda functions from a pipeline and codepipeline monitoring and notifications. By the end of this course, you'll have all the tools needed to use codepipeline for your C I C. D needs with AWS. Before beginning the course, you should have a good understanding of AWS Service's and have some experience using them. I hope you'll join me on this journey toe learn codepipeline with the practicing C I. C. D with Aws Codepipeline course at plural site