AI DevOps: Automate AWS with Terraform & Claude Code

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Claude AI · Online Course

AI DevOps: Automate AWS with Terraform & Claude Code Reviews & Product Details

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.

Best For

DevOps engineers looking to accelerate their Infrastructure as Code development workflows. Cloud architects interested in integrating AI assistants into AWS deployment lifecycles. SREs aiming to implement automated guardrails and security scans in CI/CD pipelines. Developers who want to move beyond basic AI prompts to build autonomous infrastructure agents.

Not For

Complete beginners with zero prior experience in AWS or infrastructure management. Engineers looking for a theoretical overview of AI without hands-on coding or implementation. Professionals who strictly follow manual deployment processes and avoid automated IaC.

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About the Creator

Kostiantyn Skrypnyk

Kostiantyn Skrypnyk is a dedicated DevOps professional and cloud architect who specializes in modernizing infrastructure delivery through automation and artificial intelligence. With a deep technical background in managing cloud services, particularly Amazon Web Services (AWS), Kostiantyn has spent years mastering infrastructure as code (IaC) with Terraform. As generative AI has evolved, he has successfully integrated cutting-edge AI systems like Claude Code into the standard DevOps lifecycle to accelerate software delivery and minimize configuration errors. His teaching philosophy focuses on practical, project-based learning. Kostiantyn believes that the best way to master complex cloud systems is by building, breaking, and fixing real-world deployments. He structures his courses to bridge the gap between theoretical cloud concepts and actual on-the-job execution. Students learning under his guidance gain a rigorous understanding of how to orchestrate scalable cloud infrastructure while leveraging emerging AI agents to write cleaner, faster automation scripts safely, efficiently, and with industry-standard best practices.

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