AI DevOps: Automate AWS with Terraform & Claude Code

About this course

This course is designed for DevOps engineers, cloud engineers, and architects who want to build modern AI-powered infrastructure workflows using Terraform, AWS, GitHub and Claude Code.

Today, infrastructure is no longer just written manually. The industry is shifting toward AI-assisted development, where engineers generate, review, and manage infrastructure using intelligent tools, while still keeping full control and safety.

In this course, you will learn how to combine Terraform, AWS, and AI (Claude Code) to build real-world DevOps workflows that are faster, safer, and more scalable.

This course follows a practical, step-by-step approach, from environment setup to advanced automation patterns. Every concept is implemented hands-on, not just explained.

What you’ll learn in this course

How to use AI (Claude Code) to generate and improve Terraform code

How to structure and control AI output using configuration files

Terraform fundamentals and real-world infrastructure patternsAWS basics: IAM, S3, EC2, networking, and security groups

Setting up Terraform remote state and safe deployment workflowsMCP (Model Context Protocol) for integrating AI with Terraform and AWSBuilding reusable AI workflows using hooks and skills

Designing subagents for Terraform implementation and review

Applying guardrails to prevent unsafe infrastructure changes

Automating infrastructure checks (security, cost, best practices)Integrating AI into GitHub Actions for automated PR reviews and deployments

What makes this course different

This course focuses on how AI is actually used in real DevOps workflows, not just demos or simple prompt exam

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