This course delves deep into the advanced features of Terraform, exploring essential concepts such as variables, modules, and logging. You will gain hands-on experience with multiple cloud providers like AWS, Azure, and Google. Through interactive labs and real-world scenarios, you'll master the art of building robust, scalable infrastructure. Whether you're preparing for certification or aiming to elevate your career, this course provides the knowledge and practical skills you need to succeed in the dynamic field of cloud computing.



Terraform in AWS from Basics to Guru: Unit 3
This course is part of Terraform in AWS from Basics to Guru Specialization

Instructor: Pearson
Access provided by GC University Lahore
Recommended experience
What you'll learn
Master the use of Terraform variables and modules for efficient infrastructure management.
Gain proficiency in Terraform logging and troubleshooting techniques.
Develop skills to work with multiple cloud providers, including AWS, Azure, and Google.
Understand advanced Terraform concepts like expressions, functions, and meta-arguments.
Skills you'll gain
Details to know

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July 2025
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There is 1 module in this course
This module provides you with advanced knowledge of the Terraform Core or CLI program. It covers variables in Terraform, which allow you to reuse code while changing only necessary key values. It also covers how to work with Terraform modules, entire reusable code bases that can be configured to automatically set up an infrastructure. It also covers how to log what happens when you issue commands such as Terraform init or Terraform apply, as well as how to work with additional providers such as Google and Azure. The module then moves on to in-depth Terraform language, such as expressions, functions, and meta arguments, and finally, advanced Terraform concepts, including locals, dynamic blocks, data blocks, how to use multiple workspaces, and much more. Follow along with labs using step-by-step lab files downloadable from github.com/daveprowse/tac-course. This module is primarily made up of hands-on demonstrations, so be ready to work and have your system ready to go. A Linux-based virtual machine is highly recommended for this module.
What's included
66 videos6 assignments
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