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

Amazon Web Services introduces DevOps before studying how generative applications are released, deployed and operated. Monitoring is part of the final stage. The course connects an AI application with the delivery practices needed to change and maintain it over time.

What you will learn

• Explain DevOps concerns for a generative application.
• Describe a release-and-deployment workflow.
• Identify monitoring and operational checks after deployment.

Who this suits

Beginner-level learners with preparation equivalent to AWS Cloud Technical Essentials, as recommended by the provider.

Before you enroll

Check the tools, account requirements and model access used by the examples. Review generated work against its sources, and account for external service charges beyond enrollment.

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Put it into practice

Design a release checklist for a small generative application. Include a quality evaluation and state what condition should stop a deployment.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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