Overview What You Will Learn Curriculum Instructor

Course Overview

Understand the core fundamentals of Terraform, and how it is different from Cloud-native tools like cloud formation from AWS, ARM for Azure, or deployment manager from Google. Learn the nuances of Terraform to use it as an infrastructure as Code to provision and manage any cloud, infrastructure, or service. Expand your Terraform knowledge to the next level where we would be starting with the core fundamentals of Terraform and learning some of the advances features like loops, if statements, conditionals, for-each loop, functions, provisioners, data, and imports. 

Over the next few hours, we would be building a production-ready multi-tier application right from scratch using Terraform.

What You Will Learn

  • Learn about the core fundamentals of Terraform
  • Learn about the difference between Terraform and other cloud-native tools
  • Learn how to build multi-tier Terraform infrastructure

Program Curriculum

  • Terraform as an Infrastructure as a Code
  • Install Terraform on Windows, Linux and Mac
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Create Configuration for Azure and Introduction to Variables
  • Remote State
  • Chapter 2 Quiz

  • for, for_each Loop, and Count Expressions
  • Functions and Conditionals: If-else Statement
  • Chapter 3 Quiz

  • Production-ready Terraform Code
  • Provisioners with Terraform
  • Chapter 4 Quiz

  • Terraform Import and Data: Manage Existing Infrastructure
  • Chapter 5 Quiz
Load more modules

Instructor

Shantanu Das

Infrastructure Consultant

Shantanu Das is a seasoned author for many DevOps courses like Puppet, Microservices, Terraform & Azure DevOps. He has a worked as a Site Reliability Engineer with solid hands-on experience in Google Cloud and Microsoft Azure technologies in Cloud/DevOps practice, architecting solutions along with migrating, managing supporting enterprise suite of applications. He has helped fortune 500 companies in automating build and deployments of code which needs to be shipped to different environments. Also, he has experience in hosting and supporting dockerized applications via Kubernetes on GCP, support Google managed Hadoop/data proc clusters along with ETL solutions built on top of Airflow backed by Hive and MySQL DB.

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