IT & SoftwareAdded Sep 24, 2026

AI-Driven Infrastructure as Code (IaC) and Cloud Automation

Build 5 AIOps Projects to learn how to build IaC with GenAI, Vibe Coding, Prompt Engineering and Specs writing.

4.6 / 5.0
155 ratings
5h 38m 3s
On-demand
English
Audio
Gourav J. Shah, School of Devops
Instructor
AI-Driven Infrastructure as Code (IaC) and Cloud Automation100% OFF
  • 5h 38m 3s on-demand video
  • Certificate of Completion
  • Mobile, TV & Desktop Access
  • Full Lifetime Access

What you'll learn

Use AI-assisted coding workflows to write and manage Infrastructure as Code (IaC)
Provision cloud infrastructure using Terraform, Pulumi, CloudFormation, and Ansible
Leverage AI developer tools like GitHub Copilot, Cursor, and Kiro IDE in vibe and spec modes
Use agentic workflows and MCP Servers to enhance IaC security, compliance, and best practices
Create GitOps-style pipelines with AI-powered PR reviews and automated IaC delivery
Secure and validate IaC with tools like Checkov, tfsec, and OPA/Conftest
Complete a capstone project to provision secure, production-grade cloud environments with AI assistance

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.

Who this course is for:

  • DevOps Engineers looking to modernize their IaC workflows
  • Platform Engineers interested in automating infrastructure provisioning
  • Site Reliability Engineers (SREs) seeking secure and scalable infra delivery pipelines
  • Cloud Engineers aiming to use AI-powered tools for faster, safer deployments
  • Professionals preparing for AI-integrated DevOps and IaC interviews
  • Anyone building a GitHub portfolio of AI-enhanced infrastructure projects

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