DevOps and AI on AWS: CI/CD for Generative AI Applications

In this course, we focus on the DevOps practices of building, deploying, and managing applications enhanced with generative AI features. You’ll learn how to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines, explore strategies for reliable automation, and improve monitoring and observability for your applications. The course emphasizes practical skills to streamline releases, reduce potential errors, and maintain high-quality, scalable systems in dynamic cloud environments. With dedicated modules for *Automatic deployments * , Infrastructure as Code, Monitoring, and Operations, you’ll improve your understanding and ability to execute as a Developer or DevOps Engineer. Get comfortable with AWS services by learning how to use Amazon CodeDeploy in a CI/CD pipeline and using the AWS Cloud Development Kit. You’ll then use AWS Services to help with observability and monitoring (Amazon CloudWatch Anomaly detection and AWS X-Ray insights) - both services with AI features to help with more effective monitoring and alarms. By the end of this course, you’ll have built a robust application that supports continuous releases, improves time to market for new features and fixes, and reduce potential for human error. 3b:Ta0c,

• Implement DevOps practices including automated builds, testing, and continuous integration pipelines.
• Design and execute automatic deployments using Amazon CodeDeploy in a CI/CD pipeline.
• Develop Infrastructure as Code using AWS CloudFormation and AWS Cloud Development Kit.
• Apply AI-enhanced monitoring and observability techniques using Amazon CloudWatch Anomaly Detection and AWS X-Ray Insights.
• Demonstrate how DevOps and AIOps practices improve continuous releases, time to market, and reduce human error in application development and operations.