AI-Driven Infrastructure as Code (IaC) and Cloud Automation
AI-Driven Infrastructure as Code (IaC) and Cloud Automation
Published 7/2025
Duration: 5h 38m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.27 GB
Genre: eLearning | Language: English
Published 7/2025
Duration: 5h 38m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 3.27 GB
Genre: eLearning | Language: English
Build 5 AIOps Projects to learn how to build IaC with GenAI, Vibe Coding, Prompt Engineering and Specs writing.
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
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 withvibe modeAI coding in VSCode and gradually transition tospec modewith 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
Acapstone projectthat delivers a production-grade cloud environment using Terraform, Ansible, GitHub Actions, and AI remediation
Bonus content onPrompt 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
More Info