AI DevOps: Automate AWS with Terraform & Claude Code

In the rapidly evolving landscape of cloud engineering, "AI DevOps: Automate AWS with Terraform & Claude Code" serves as an essential guide for modern specialists aiming to fuse Infrastructure as Code (IaC) with cutting-edge artificial intelligence. Created by Kostiantyn Skrypnyk, this comprehensive course bridges the gap between traditional AWS administration and automated AI assistance. Learners dive deep into utilizing Claude Code and the Model Context Protocol (MCP) to draft, optimize, and refactor Terraform configurations with unprecedented speed. Throughout the curriculum, students explore practical strategies for setting up robust CI/CD pipelines via GitHub Actions, integrating AI-driven code reviews, cost analysis, and security scanning directly into their deployment workflows. Rather than treating AI as a simple autocomplete tool, the course emphasizes safe automation, teaching developers how to construct reliable guardrails, validation steps, and subagent hooks that protect live environments. Whether you are an experienced DevOps professional looking to optimize your daily pipelines or a cloud architect seeking to implement AI-powered guardrails, this course equips you with the hands-on skills needed to deploy secure, cost-effective, and highly automated AWS infrastructures.