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

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Amazon Web Services

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

Morgan Willis
Russell Sayers
Rafael Lopes

Instructors: Morgan Willis

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Gain insight into a topic and learn the fundamentals.
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Recently updated!

March 2025

Assessments

5 assignments

Taught in English

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This course is part of the DevOps and AI on AWS Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 3 modules in this course

This module introduces the fundamentals of DevOps and its role in modern software development. It covers key principles such as Continuous Integration (CI), Infrastructure as Code (IaC), and automation, providing a foundation for managing infrastructure efficiently. You will explore how DevOps integrates with generative AI workflows, addressing unique challenges like AI model testing and deployment.

What's included

11 videos8 readings2 assignments1 app item2 plugins

This module focuses on deployment strategies and automation in a DevOps pipeline. Learners gain hands-on insights into AWS CodeDeploy, AWS CloudFormation, and AWS CDK, understanding how to automate infrastructure provisioning and application releases. The module also explores best practices for reducing downtime, troubleshooting deployments, and ensuring smooth model rollouts in generative AI applications.

What's included

12 videos4 readings1 assignment1 app item1 discussion prompt

This module explores the importance of monitoring, observability, and operational management in DevOps workflows. Learners discover how to use Amazon CloudWatch, AWS CloudTrail, AWS X-Ray, and AWS Systems Manager to track application performance, detect issues, and ensure infrastructure stability. Special focus is given to observability in generative AI applications, highlighting metrics, logging, and automated response strategies to maintain system reliability.

What's included

11 videos7 readings2 assignments2 app items1 plugin

Instructors

Morgan Willis
Amazon Web Services
26 Courses825,645 learners

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