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Updated in [May 25th, 2023]

Learning Terraform for Azure provides learners with the skills and knowledge to deploy and manage infrastructure as code on the Azure cloud platform. Learners will gain an understanding of the Terraform language and how to use it to authenticate with Azure, deploy Infrastructure as a Service (IaaS) virtual machines, and configure Azure SQL (Platform as a Service). Additionally, learners will learn how to download, install, and configure Terraform on Azure. This course is ideal for those who are new to Terraform and want to get up and running quickly.

By the end of this course, learners will have a solid understanding of Terraform and how to use it to deploy and manage infrastructure on Azure. They will be able to confidently create and manage Azure resources, such as virtual machines, databases, and storage accounts, using Terraform. Additionally, they will be able to use Terraform to automate the deployment of their Azure resources. Finally, learners will be able to use Terraform to manage their Azure resources in a secure and cost-effective manner.

[Applications]
After completing this course, users should be able to apply the knowledge they have gained to create and manage their own Azure infrastructure using Terraform. They should be able to authenticate Terraform with Azure, deploy IaaS VM and Azure SQL (PaaS) for Terraform, and download, install, and configure Terraform on Azure. Additionally, users should be able to use Terraform to manage their Azure resources, such as virtual machines, storage accounts, and databases.

[Career Paths]
1. Cloud Infrastructure Engineer: Cloud Infrastructure Engineers are responsible for designing, deploying, and managing cloud-based infrastructure solutions. They must have a deep understanding of cloud technologies, such as Azure, and be able to develop and maintain cloud-based solutions. As cloud computing continues to grow in popularity, the demand for Cloud Infrastructure Engineers is expected to increase.

2. DevOps Engineer: DevOps Engineers are responsible for automating the development, deployment, and management of cloud-based applications. They must have a deep understanding of cloud technologies, such as Azure, and be able to develop and maintain cloud-based solutions. As cloud computing continues to grow in popularity, 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 solutions. They must have a deep understanding of cloud technologies, such as Azure, and be able to develop and maintain cloud-based security solutions. As cloud computing continues to grow in popularity, 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 have a deep understanding of cloud technologies, such as Azure, and be able to develop and maintain cloud-based architectures. As cloud computing continues to grow in popularity, 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 database systems. Students will also learn about the latest trends in cloud computing, artificial intelligence, and machine learning. This degree path is ideal for those looking to pursue a career in software engineering, data science, or cloud computing.

2. Bachelor of Science in Information Technology: This degree path provides students with a comprehensive understanding of information technology principles and technologies, including programming, software engineering, computer networks, and database systems. Students will also learn about the latest trends in cloud computing, artificial intelligence, and machine learning. This degree path is ideal for those looking to pursue a career in software engineering, data science, or cloud computing.

3. Master of Science in Cloud Computing: This degree path provides students with a comprehensive understanding of cloud computing principles and technologies, including cloud architecture, cloud security, and cloud storage. Students will also learn about the latest trends in cloud computing, such as serverless computing, containerization, and DevOps. This degree path is ideal for those looking to pursue a career in cloud engineering, cloud security, or cloud architecture.

4. Master of Science in Artificial Intelligence: This degree path provides students with a comprehensive understanding of artificial intelligence principles and technologies, including machine learning, natural language processing, and computer vision. Students will also learn about the latest trends in artificial intelligence, such as deep learning, reinforcement learning, and generative adversarial networks. This degree path is ideal for those looking to pursue a career in artificial intelligence, machine learning, or data science.