AWS VPC GPC in Terraform Beginner to Expert

Course Overview

This course provides an overview of AWS VPC GPC in Terraform from beginner to expert level. It covers topics such as Terraform CICD Tutorial - Continuous Deployment Continuous Integrations, Hashicorp Packer Tutorial - Create AWS AMI Using Packer, HashiCorp Terraform Tutorial - Learn Terraform in 10 Minutes, and Create VPC in Google Cloud Platform using AWS Terraform. Participants will gain an understanding of the fundamentals of Terraform and how to use it to create and manage cloud infrastructure. They will also learn how to use Hashicorp Packer to create AWS AMIs and how to use Terraform to create VPCs in Google Cloud Platform. By the end of the course, participants will have the skills and knowledge to confidently use Terraform to create and manage cloud infrastructure.

[Applications]
The application of this course can be seen in the creation of virtual private clouds (VPCs) in AWS and Google Cloud Platform (GCP) using Terraform. It can also be used to create Amazon Machine Images (AMIs) using HashiCorp Packer, and to learn Terraform in 10 minutes. Additionally, the course can be used to create a Continuous Integration/Continuous Deployment (CICD) pipeline for Terraform.

[Career Paths]
1. Cloud Engineer: Cloud Engineers are responsible for designing, deploying, and managing cloud-based systems. They must have a deep understanding of cloud technologies, such as AWS, GCP, and Azure, as well as the ability to develop and maintain cloud-based applications. With the increasing demand for cloud-based solutions, Cloud Engineers are in high demand and the job outlook is expected to remain strong.

2. DevOps Engineer: DevOps Engineers are responsible for automating and streamlining the development and deployment of applications. They must have a deep understanding of cloud technologies, such as AWS, GCP, and Azure, as well as the ability to develop and maintain cloud-based applications. With the increasing demand for cloud-based solutions, DevOps Engineers are in high demand and the job outlook is expected to remain strong.

3. Infrastructure Engineer: Infrastructure Engineers are responsible for designing, deploying, and managing cloud-based systems. They must have a deep understanding of cloud technologies, such as AWS, GCP, and Azure, as well as the ability to develop and maintain cloud-based applications. With the increasing demand for cloud-based solutions, Infrastructure Engineers are in high demand and the job outlook is expected to remain strong.

4. Cloud Architect: Cloud Architects are responsible for designing, deploying, and managing cloud-based systems. They must have a deep understanding of cloud technologies, such as AWS, GCP, and Azure, as well as the ability to develop and maintain cloud-based applications. With the increasing demand for cloud-based solutions, Cloud Architects are in high demand and the job outlook is expected to remain strong.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, computer architecture, and operating systems. Additionally, students will learn about the latest technologies and 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. Additionally, students will gain an understanding of the latest technologies and 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 management. Additionally, students will gain an understanding of the latest technologies and 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 in-depth understanding of artificial intelligence and its applications. Students will learn about machine learning, natural language processing, and computer vision. Additionally, students will gain an understanding of the latest technologies and trends in the field, such as deep learning, reinforcement learning, and robotics.