AI-Driven DevOps: Hands-on with AWS,Claude and Gitlab

About this course

Unlock the future of cloud security and automation. As cloud environments grow, managing AWS Identity and Access Management (IAM) manually becomes a bottleneck and a security risk.

This hands-on course bridges the gap between traditional DevOps and modern AI assistance, teaching you how to build, secure, and deploy AWS IAM infrastructure at scale.

You will start with the fundamentals of AWS IAM before quickly diving into Claude Code, leveraging next-generation AI to accelerate your development workflow. From there, you will transition into practical Infrastructure as Code (IaC), using Claude Code to co-pilot the creation of robust Terraform configurations for IAM users, groups, and precise, least-privilege policies.

Finally, you will bring it all into a production-ready GitLab CI/CD pipeline. You won't just automate deployments—you will learn how to embed rigorous automated security gates directly into your pipeline to catch misconfigurations before they hit production.

What You Will Learn:

• AI-Assisted IaC: Use Claude Code to write, refactor, and optimize Terraform.
• AWS IAM Mastery: Design secure, scalable access controls.
• DevSecOps Pipelines: Build GitLab CI/CD workflows with integrated security gates.

Ready to revolutionize your workflow? Bridge the gap between AI innovation and cloud security, and build pipelines that are fast, automated, and secure by design.

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