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URL: https://www.coursera.org/learn/packt-ai-driven-infrastructure-as-code-iac-and-cloud-automation-jnn5p

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

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

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

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Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Use AI-driven tools to automate infrastructure provisioning and management.

  • Build scalable cloud systems with Terraform and AWS using AI-based code generation.

  • Apply the Vibe Coding methodology to create high-quality, iterative code.

  • Integrate spec-driven AI coding in Kiro IDE to streamline cloud development workflows.

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Recently updated!

February 2026

Assessments

5 assignments

Taught in English

There are 3 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain hands-on experience in integrating AI into Infrastructure as Code (IaC) and cloud automation processes. By leveraging AI-powered tools like GitHub Copilot, Kiro IDE, and Terraform, you will learn how to automate and enhance the development and provisioning of cloud infrastructure. You'll understand how Vibe Coding, a unique methodology, helps you iteratively improve code by collaborating with AI. This course empowers you to create scalable, efficient cloud systems through AI-driven automation. Throughout the course, you will build a Terraform module using AI agents, applying this knowledge in real-world scenarios such as configuring MySQL databases and provisioning EC2 instances. You'll also dive into Kiro IDE for spec-driven AI coding, where you will automate tasks based on precise specifications, enhancing your development efficiency. Each module focuses on applying the power of AI to traditional DevOps workflows, improving your coding productivity and infrastructure management. This course is perfect for DevOps engineers, cloud developers, and IT professionals interested in expanding their skill set by integrating AI into their workflows. No prior AI experience is required, but a basic understanding of cloud computing and infrastructure as code will help you get the most from this course. By the end of the course, you will have mastered the key concepts of AI-driven Infrastructure as Code and cloud automation, making you proficient in using Terraform, AWS, and AI tools to automate cloud deployments and infrastructure management. This course will leave you with a strong understanding of the integration between AI and DevOps tools, ready to apply your skills in real-world environments.

In this module, we will introduce you to the fundamentals of AI-driven Infrastructure as Code (IaC) and Vibe Coding. You'll gain hands-on experience with setting up essential tools like VSCode, Terraform, and GitHub Copilot. Through this series of lessons, we’ll guide you in creating AI-augmented, scalable infrastructure code that evolves iteratively to match your intended outcomes.

What's included

9 videos1 assignment

9 videos•Total 85 minutes
  • Module Intro•2 minutes
  • What is AI-Driven IaC and Why Should You Care?•9 minutes
  • What is Vibe Coding? Getting Started with the Concepts•11 minutes
  • Emergence of the AI-Augmented Bionic DevOps Engineer•11 minutes
  • Setting Up VSCode, Terraform, AWS, GitHub Copilot•9 minutes
  • Project Spec and Tools Overview•14 minutes
  • Vibe Code Principle 1 - Starting with the Intent•10 minutes
  • Vibe Code Step 2 - Iterative Refinement•9 minutes
  • Project Wrap-Up, Key Takeaways, and Cleaning Up•9 minutes
1 assignment•Total 15 minutes
  • IaC Code Generation with AI - From Zero to Vibe Coding - Assessment•15 minutes

In this module, we will focus on creating a Terraform module with AI agents to automate the provisioning of a 3-tier infrastructure. You’ll learn the key Terraform concepts and how to utilize AI-driven code generation for deploying services like VPC, MySQL RDS, and EC2 instances, all while optimizing your workflow with GitHub Copilot.

What's included

11 videos1 assignment

11 videos•Total 105 minutes
  • Module Intro•2 minutes
  • Vibe Coding Recap and Using Copilot Agentic Capabilities•10 minutes
  • Project Spec Deep Dive - 3-Tier Infra Provisioning with Terraform•11 minutes
  • Quick Overview of Terraform Concepts•9 minutes
  • Why Do You Need an MCP Server for Terraform?•8 minutes
  • Connecting Copilot with Terraform Documentation Using MCP•13 minutes
  • Generating Terraform Code for VPC with AI•11 minutes
  • Setting Up MySQL RDS with Prompts•17 minutes
  • Provisioning EC2 Instance with User Data Using Copilot•12 minutes
  • Adding Database Configurations with AI•10 minutes
  • Summary•2 minutes
1 assignment•Total 15 minutes
  • Build a Terraform Module Using Code Agents - Assessment•15 minutes

In this module, we will explore the power of spec-driven AI coding using Kiro IDE. We will guide you through the process of analyzing user stories, generating specifications, and using AI agents to automate the coding and validation tasks. You’ll also refine and troubleshoot your project with AI assistance to ensure high-quality, scalable infrastructure code.

What's included

15 videos3 assignments

15 videos•Total 148 minutes
  • Module Intro•1 minute
  • Understanding Concepts Related to Spec-Based AI Coding•10 minutes
  • Introduction to Kiro - Spec Native AI Idea by Amazon•5 minutes
  • Overview of the Project You Will Build in This Module•6 minutes
  • Exploring Kiro IDE Interface and Components•10 minutes
  • Step 1 - Analyzing User Stories and Requirements•9 minutes
  • Step 2 - Analyzing Design Spec Created by Kiro•12 minutes
  • Step 3 - Reviewing Implementation Plan and Tasks List•5 minutes
  • Configuring Agent Settings and Agent Hooks•11 minutes
  • Analyzing the First Task Execution•8 minutes
  • Generating Terraform Validation Code with Tasks•17 minutes
  • Applying Terraform Code and Troubleshooting Issues with AI Agent•19 minutes
  • Refining and Iterating with Code Agent to Fix AMI and Health Checks•18 minutes
  • Running Validation and Final Verdict with Spec-Driven AI Coding•13 minutes
  • Summary•3 minutes
3 assignments•Total 90 minutes
  • AI-Agent Augmented, Spec-Driven Coding with Kiro IDE - Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

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Frequently asked questions

AI-Driven Infrastructure as Code (IaC) refers to the use of artificial intelligence to automate the process of writing, managing, and provisioning infrastructure through code. This approach makes infrastructure management more efficient, scalable, and less error-prone, which is particularly relevant in the modern cloud environment where speed, automation, and precision are essential. By leveraging AI, developers and DevOps engineers can streamline complex infrastructure tasks, improve productivity, and reduce manual intervention.

This course focuses on teaching how to use AI to enhance the development and management of infrastructure using Infrastructure as Code (IaC) tools, particularly Terraform. It introduces innovative concepts like "Vibe Coding" and explores how AI agents, such as GitHub Copilot and Kiro IDE, can augment the development process. Through hands-on projects, you will learn how to automate the creation of cloud infrastructures, such as Virtual Private Clouds (VPCs) and MySQL databases, by utilizing AI-driven techniques.

After completing this course, you will have the skills to generate IaC using AI tools, automate the creation and management of cloud resources, and use AI-driven coding methodologies to improve your DevOps processes. You will also be proficient in using platforms like Terraform, AWS, and GitHub Copilot to build, deploy, and manage infrastructure efficiently. Additionally, you will have experience with the emerging field of AI-Augmented DevOps, applying AI to both speed up and refine the process of infrastructure provisioning.

To get the most out of this course, a foundational understanding of DevOps principles and cloud computing is recommended. Familiarity with Terraform and basic cloud infrastructure concepts (like VPCs and EC2 instances) would be helpful but is not required, as the course will introduce these tools. Having some experience with coding, particularly in languages like Python or JavaScript, will also be beneficial, as the course involves coding and automation.

This course is ideal for developers, DevOps engineers, and IT professionals who are interested in leveraging AI to automate and streamline infrastructure management. If you're looking to enhance your cloud automation skills and dive into the intersection of AI and infrastructure as code, this course will be highly relevant to you. Whether you're looking to increase your efficiency or stay ahead of industry trends, this course is designed to meet the needs of both beginners and experienced professionals.

The course contains 5 hours of video content, which can be completed at your own pace. Depending on your prior experience and the time you dedicate to practice and projects, it may take anywhere from a few days to a couple of weeks to finish. You can take breaks as needed to absorb the material and work on hands-on exercises to reinforce your learning.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,