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

Name: AI-Driven Infrastructure as Code (IaC) and Cloud Automation
Rating: 4.5 (120 reviews)

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

Created byGourav J. Shah, School of Devops

Last updated 7/2025

English

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 content

3 sections • 35 lectures • 5h 37m total length

Module Intro2:19
What is AI Driven IaC as why should you care ?9:15
What is Vibe Coding Afterall - Getting started with the Concepts11:27
Emergence of AI-Augmented Bionic Devops Engineer10:37
Discover AI-augmented DevOps engineering, a bionic blend of human intuition and AI that shifts responsibilities toward intent over syntax and strategic outcomes.
Setting up VSCode, Terraform, AWS, GitHub Copilot8:57
Project Spec and Tools Overview13:37
Vibe Code Principle 1 - Starting with the Intent10:20
Vibe Code Step 2 - Iterative Refinement9:06
In this vibe code session, explore ai-driven infrastructure as code by iteratively refining terraform code across models, adding key pairs, security groups, and tags.
Project wrap up, Key takeaways and Cleaning up9:06

Module Intro1:55
Vibe Coding Recap and using Copilot Agentic Capabilities10:05
Build a production-ready three-tier PHP app using AI-driven Terraform workflows and GitHub Copilot’s agentic capabilities in VS Code.
Project Spec Deep Dive - 3 Tier Infra Provisioning with Terraform11:22
Quick Overview of Terraform Concepts9:22
Why do you need MCP Server for Terraform ?7:41
Connecting Copilot with Terraform Documentation using MCP12:51
Generating Terraform code for VPC with AI10:30
Setting up MySQL RDS with Prompts17:25
Provisioning EC2 Instance with User Data using Copilot11:47
Adding Database Configurations with AI10:08
Learn how AI assists configuring databases in Terraform deployments, generating config.ini with hostname, username, password, and applying the SQL schema via provisioners and remote execution on the web server.
Summary2:11

Module Intro1:27
Understanding Concepts related to Spec Based AI Coding9:38
Introduction to Kiro - Spec Native AI Idea by Amazon5:09
Overview of the Project you will build in this Module6:01
Exploring Kiro IDE Intrface and Components10:11
Step 1 - Analysing User Stories and Requirements9:29
Explore defining high-availability and scalable web applications with auto scaling and load balancing, guided by user stories, acceptance criteria, and a design-to-implementation workflow in AI-assisted IaC.
Step 2 - Analying Design Spec created by Kiro12:27
Step 3 - Reviewing Implementation Plan and Tasks List5:22
Configuring Agent Steeing and Agent Hooks11:03
Analysing the first Task Execution7:47
Generating Terraform Validation Code with Tasks16:48
Demonstrates end-to-end terraform validation code generation from spec to execution, including agent steering, task execution, hooks, documentation updates, and automated testing of a load balancer, target groups, and autoscaling.
Applying Terraform Code and Troubleshooting Issues with AI Agent18:53
Refining and Iterating with Code Agent to fix AMI and Health Checks17:57
Running Validation and Final Verdict with Spec driven AI Coding12:33
Validate infrastructure as code with a spec-driven AI coding workflow that checks Terraform state against AWS resources, including VPC, subnets, and auto scaling.
Summary2:47

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)

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

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

What you'll learn

Explore related topics

Course content

Iac Code Generation with AI - From Zero to Vibe Coding9 lectures • 1hr 25min

Build a Terraform Module using Code Agents11 lectures • 1hr 45min

AI Agent Augmented, Spec Driven Coding with Kiro IDE15 lectures • 2hr 28min

Requirements

Description

Who this course is for: