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

(98 đánh giá)

11,307 học viên

Giảng viên

Gourav J. Shah

Phụ đề Việt chất lượng cao Phụ đề tiếng Anh Bán chạy Đánh giá cao

50.000đ 699.000đ -93%

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5.5 giờ video

35 bài giảng

Truy cập vĩnh viễn

Học trên mọi thiết bị

Cập nhật: 31/05/2026

#Driven #Infrastructure #IT & Software #Other IT & Software

Bạn sẽ học được gì

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

Yêu cầu

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)

Đối tượng phù hợp

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

Nội dung khóa học

3 phần • 35 bài giảng

1 Module Intro

2 What is AI Driven IaC as why should you care ?

3 What is Vibe Coding Afterall - Getting started with the Concepts

4 Emergence of AI-Augmented Bionic Devops Engineer

5 Setting up VSCode, Terraform, AWS, GitHub Copilot

6 Project Spec and Tools Overview

7 Vibe Code Principle 1 - Starting with the Intent

8 Vibe Code Step 2 - Iterative Refinement

9 Project wrap up, Key takeaways and Cleaning up

1 Module Intro

2 Vibe Coding Recap and using Copilot Agentic Capabilities

3 Project Spec Deep Dive - 3 Tier Infra Provisioning with Terraform

4 Quick Overview of Terraform Concepts

5 Why do you need MCP Server for Terraform ?

6 Connecting Copilot with Terraform Documentation using MCP

7 Generating Terraform code for VPC with AI

8 Setting up MySQL RDS with Prompts

9 Provisioning EC2 Instance with User Data using Copilot

10 Adding Database Configurations with AI

11 Summary

1 Module Intro

2 Understanding Concepts related to Spec Based AI Coding

3 Introduction to Kiro - Spec Native AI Idea by Amazon

4 Overview of the Project you will build in this Module

5 Exploring Kiro IDE Intrface and Components

6 Step 1 - Analysing User Stories and Requirements

7 Step 2 - Analying Design Spec created by Kiro

8 Step 3 - Reviewing Implementation Plan and Tasks List

9 Configuring Agent Steeing and Agent Hooks

10 Analysing the first Task Execution

11 Generating Terraform Validation Code with Tasks

12 Applying Terraform Code and Troubleshooting Issues with AI Agent

13 Refining and Iterating with Code Agent to fix AMI and Health Checks

14 Running Validation and Final Verdict with Spec driven AI Coding

15 Summary

Giới thiệu khóa học

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.