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AI-Driven Infrastructure as Code (IaC) and Cloud Automation
What you'll learn
Course Description
Unlock the next generation of Infrastructure as Code (IaC) with the power of AI.
In this hands-on, project-driven course, you'll learn how to combine popular IaC tools like Terraform, Pulumi, and Ansible with cutting-edge AI assistants such as GitHub Copilot, Cursor, and Kiro IDE. You'll not only automate cloud provisioning but also secure, validate, and optimize your code using MCP servers, Checkov, and GitHub Actions.
You’ll start with vibe mode AI coding in VSCode and gradually transition to spec mode with Kiro IDE. You’ll build multi-cloud, multi-tool workflows and integrate security-first practices using tfsec and Checkov — all driven by AI.
Whether you’re provisioning an EC2 instance, deploying a multi-tier app, or securing GitOps pipelines, you’ll do it with intelligent, AI-enhanced speed.
This course includes:
Realistic labs and guided projects using AWS Free Tier
End-to-end IaC automation pipelines with AI tools
Deep integration with the AWS Terraform MCP server for best practices and compliance
A capstone project that delivers a production-grade cloud environment using Terraform, Ansible, GitHub Actions, and AI remediation
Bonus content on Prompt Engineering for IaC, DevOps portfolio building, and interview preparation
Perfect for DevOps engineers, SREs, and cloud professionals ready to level up their automation game.
Enroll now to become fluent in the future of IaC and Cloud Automation — powered by AI.
Requirements
- A basic understanding of cloud computing and DevOps concepts
- Prior experience with any scripting or programming language
- Familiarity with version control (e.g., Git and GitHub)
- Access to an AWS Free Tier account (optional: GCP)
- A modern code editor (VSCode recommended)
- Installed Terraform CLI, Python, and Checkov for local labs
- Willingness to explore AI tools (Copilot, Cursor, Kiro IDE)
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