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

This course is part of DevOps and AI on AWS Specialization

Instructors: Morgan Willis +2 more

What you'll learn

  •   Implement DevOps practices including automated builds, testing, and continuous integration pipelines.
  •   
  •   Design and execute automatic deployments using Amazon CodeDeploy in a CI/CD pipeline.
  •   Demonstrate how DevOps and AIOps practices improve continuous releases, time to market, and reduce human error in app development and operations.
  •   Apply AI-enhanced monitoring and observability techniques using Amazon CloudWatch Anomaly Detection and AWS X-Ray Insights.
  • Skills you'll gain

  •   Generative AI
  •   System Monitoring
  •   Amazon Web Services
  •   AWS CloudFormation
  •   Continuous Deployment
  •   Amazon CloudWatch
  •   Continuous Monitoring
  •   Automation
  •   Continuous Integration
  •   DevOps
  •   Infrastructure as Code (IaC)
  •   Application Deployment
  •   CI/CD
  •   Cloud Applications
  •   Release Management
  • There are 3 modules in this course

    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.

    Release and Deploy

    Monitor and Operate

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