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

Name: AI-Driven Infrastructure as Code (IaC) and Cloud Automation
Availability: InStock
Rating: 4.5 (155 reviews)
Author: Gourav J. Shah

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

4.5

 4.5/5

(155) Ratings

11,714 students

IT & Software

Created by Gourav J. Shah

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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

This course includes:

5.5 total hours on-demand video

1 articles

0 downloadable resources

36 lessons

Full lifetime access

Access on mobile and TV

Certificate of completion

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Course content

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

Post Views: 442

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.

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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