The 8 best Terraform courses in 2026

Scaling a CloudStack environment starts with building automation that can provision, validate, and evolve infrastructure reliably as demand grows. In this advanced, hands-on course, you will learn how to move beyond manual setup by automating a full CloudStack zone using infrastructure as code. You will begin by provisioning core components with Ansible or Terraform, focusing on modular design and repeatable deployments. As you progress, you will add CI checks that help validate changes and prepare automation for staging and production use. You will then extend the environment by introducing a

What is this course about? This course is an engaging and comprehensive introduction to Terraform, one of the most popular tools for implementing Infrastructure as Code (IaC). It covers the fundamentals of Terraform, including its configuration and operations, to efficiently manage infrastructure. This course enables learners to automate the setup and maintenance of their infrastructure, making it a vital skill in cloud computing and DevOps. Who is the Target Audience? This course is ideal for: - Developers interested in automating infrastructure management. - DevOps professionals looking to

Code and apply your first Terraform configuration without installing anything! This course is designed for learners with limited knowledge of cloud computing, providing a solid foundation of cloud infrastructure provisioning and management, using Terraform, an open-source IaaS (Infrastructure as a service) tool. The modules in this course cover Terraform's basic architecture and syntax, managing resources, and other related topics. A review of AWS EC2 instances is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short

Updated in May 2025. This course now features Coursera Coach — your interactive learning companion that helps you test your knowledge, challenge assumptions, and deepen your understanding as you progress. Build a strong foundation in Infrastructure as Code (IaC) with this hands-on introduction to managing cloud environments using Terraform. Designed for beginners, this course guides you step by step through automating infrastructure provisioning, writing configurations in HashiCorp Configuration Language (HCL), and deploying real resources on AWS. You’ll begin by setting up your environment

This course builds a strong foundation in infrastructure automation using Ansible, equipping you with the skills to replace manual server provisioning with consistent, repeatable, and scalable automation workflows. You’ll begin by understanding why infrastructure automation is essential in modern IT environments. Instead of relying on manual configuration and repetitive setup processes, you’ll learn how Infrastructure as Code (IaC) brings structure, reliability, and version control to server management. You’ll explore Ansible’s agentless architecture, core components such as inventories, modu

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a Terraform configuration with a module to automate the deployment of a custom network with resources.

This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building and managing Google Cloud resources using Terraform.

In this course, you will explore various types of source systems, learn how they generate and update data, and troubleshoot common issues you might encounter when trying to connect to these systems in the real world. You’ll dive into the details of common ingestion patterns and implement batch and streaming pipelines. You’ll automate and orchestrate your data pipelines using infrastructure as code and pipelines as code tools. You’ll also explore AWS and open source tools for monitoring your data systems and data quality.