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

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

    Explore more from Cloud Computing

    ©2025  ementorhub.com. All rights reserved