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Updated in [May 25th, 2023]

This course provides an introduction to Terraform and how to use it to provision resources on AWS. It covers topics such as Terraform in 16 minutes, provisioning EC2 on AWS, Terraform remote state on Amazon S3, multiple Terraform configuration (.tf) files, AWS CloudFormation vs Terraform, and launching Amazon EC2 using variables. By the end of the course, learners will have a better understanding of how to use Terraform to provision resources on AWS.

[Applications]
After completing this course, students should be able to apply their knowledge of Terraform to provision resources on AWS. They should be able to create multiple Terraform configuration files, use Terraform Remote State on Amazon S3, and launch Amazon EC2 using variables. Additionally, they should be able to compare and contrast AWS CloudFormation and Terraform.

[Career Paths]
1. Cloud Infrastructure Engineer: Cloud Infrastructure Engineers are responsible for designing, deploying, and managing cloud-based systems. They must be knowledgeable in cloud technologies such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). They must also be familiar with automation tools such as Terraform, Ansible, and Chef. As cloud computing continues to grow, the demand for Cloud Infrastructure Engineers is expected to increase.

2. DevOps Engineer: DevOps Engineers are responsible for automating the development and deployment of applications. They must be knowledgeable in scripting languages such as Python, Ruby, and Bash. They must also be familiar with automation tools such as Terraform, Ansible, and Chef. As organizations continue to adopt DevOps practices, the demand for DevOps Engineers is expected to increase.

3. Cloud Security Engineer: Cloud Security Engineers are responsible for designing, deploying, and managing cloud-based security systems. They must be knowledgeable in cloud security technologies such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). They must also be familiar with automation tools such as Terraform, Ansible, and Chef. As cloud computing continues to grow, the demand for Cloud Security Engineers is expected to increase.

4. Cloud Architect: Cloud Architects are responsible for designing, deploying, and managing cloud-based architectures. They must be knowledgeable in cloud technologies such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). They must also be familiar with automation tools such as Terraform, Ansible, and Chef. As cloud computing continues to grow, the demand for Cloud Architects is expected to increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science principles and technologies, including programming, software engineering, computer networks, and operating systems. Students will also learn about developing trends in the field, such as cloud computing, artificial intelligence, and machine learning.

2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. Students will learn about the design, development, and implementation of information systems, as well as the management of data and networks. They will also gain an understanding of developing trends in the field, such as cloud computing, big data, and cybersecurity.

3. Master of Science in Cloud Computing: This degree path provides students with an in-depth understanding of cloud computing technologies and their applications. Students will learn about cloud architecture, cloud security, and cloud services, as well as developing trends in the field, such as serverless computing, containerization, and DevOps.

4. Master of Science in Artificial Intelligence: This degree path provides students with an understanding of artificial intelligence principles and technologies, including machine learning, natural language processing, and computer vision. Students will also learn about developing trends in the field, such as deep learning, reinforcement learning, and robotics.