Updated in May 2025.
This course now 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'll master Terraform Cloud to automate infrastructure, manage AWS resources, and integrate with cloud environments for seamless deployment. By the end of the course, you'll be able to import AWS Lambda resources, manage AWS RDS instances, create and manage Terraform Cloud workspaces, and integrate Terraform with GitHub for version-controlled deployments. This course will guide you through key Terraform concepts and ensure you gain hands-on experience with real-world scenarios.
You'll start by learning the basics of importing and managing AWS Lambda resources and move on to more complex projects, such as creating RDS modules and validating configuration settings. You'll explore Terraform Cloud workspaces, gain proficiency in managing resources across environments, and learn how to use version control systems for automated infrastructure deployment. Practical examples and demos will help reinforce your understanding.
This course is ideal for cloud engineers, DevOps professionals, and infrastructure developers with some experience in Terraform. You should have a basic understanding of cloud computing, AWS services, and infrastructure as code (IaC). By the end, you will have the skills to manage cloud resources effectively and automate workflows with Terraform Cloud.
In this module, we will walk through the steps of importing AWS Lambda resources into Terraform. You'll learn how to import Lambda functions, roles, and associated policies into your Terraform configurations. Additionally, we will cover how to manage Lambda code and CloudWatch logs to ensure compre…
In this module, we will guide you through creating an RDS module in Terraform, focusing on flexibility and security. You'll learn to define and validate variables, implement security group rules, and manage RDS instance settings. The section concludes with deploying an RDS instance and cleaning up…
In this module, we will cover the creation and management of Terraform workspaces to support multiple environments. You'll learn how to configure workspace-specific settings using .tfvars files and best practices for managing resources across various workspaces. The module will also include a demon…
In this module, we will dive into the features and benefits of Terraform Cloud for remote management of your infrastructure. You will explore workspace creation, integration with GitHub, and how to manage resources using Terraform Cloud’s capabilities. The section will also cover module publishing…
In this module, we will walk you through integrating Terraform Cloud with AWS using the OIDC provider. You will learn how to set up roles, attach policies, and import these configurations into Terraform for programmatic management. The project concludes by extending the OIDC provider to additional…
In this final section, we will recap the essential concepts covered throughout the course and ensure you’re ready to apply them in real-world scenarios. You'll also perform a final cleanup of all AWS resources to leave your environment organized and efficient. This marks the end of your journey in…
Some points apply to every course of this kind; see how we rank.
Packt is in Tier 5: mass-produced or unclear of our institution ranking (40/100). Thousands of courses turned out quickly; check reviews first.
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
