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Cloud Computing with Linux

Cloud Computing with Linux

Free Practice Test

FREE
  • No. of Questions10
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice
  • TypeExam Format

Practice Exam

$11.99
  • No. of Questions100
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam
  • Last UpdatedMarch 2025

Online Course

$11.99
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No. of Videos13
  • No. of hours06+ hrs
  • Content TypeVideo

Cloud Computing with Linux


Linux plays a crucial role in cloud computing and is widely used to manage virtual machines (VMs), cloud infrastructure, and containerized applications. This course provides a practical approach to Linux virtualization, cloud deployment, and containerization. You will start by learning how to use Linux as a KVM host and guest, allowing you to create and manage virtual machines efficiently. You will then explore Amazon Web Services (AWS) EC2 instances, learning how to set up, configure, and optimize cloud-based virtual machines. The course also covers Microsoft Azure Virtual Machines (VMs), helping you understand key differences between AWS and Azure for cloud deployment. Finally, you will work with Docker on Linux, learning how to host and run applications inside containers. By the end of this course, you will have the skills to manage Linux-based virtualized environments, cloud computing platforms, and containerized applications.


Who Should Take the Exam?

  • IT professionals looking to improve their cloud computing and virtualization skills
  • System administrators managing Linux-based cloud infrastructure
  • Cloud engineers working with AWS, Azure, and virtualization technologies
  • Developers deploying applications on virtual machines or containers
  • Tech professionals interested in Docker, cloud computing, and Linux administration


Skills Required

  • Basic Linux knowledge is recommended but not required
  • Familiarity with cloud computing concepts is helpful
  • Basic understanding of virtualization and containerization (optional)


Enrich and upgrade your skills to start your learning journey with Cloud Computing with Linux Online Course and Study Guide. Become Job Ready Now!

Cloud Computing with Linux FAQs

This course provides a practical introduction to Linux-based virtualization, cloud computing, and containerization. You will learn how to set up virtual machines using KVM, create and manage AWS EC2 instances, deploy and configure Azure Virtual Machines, and use Linux as a host for Docker containers. The course is ideal for IT professionals, cloud engineers, and DevOps specialists who want to gain hands-on experience in managing virtual machines and cloud environments.

This course prepares you for roles in cloud computing, system administration, and DevOps. Some of the key job opportunities include:

  • Linux System Administrator
  • Cloud Engineer (AWS, Azure, GCP)
  • Virtualization Engineer
  • DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Infrastructure Engineer
  • Docker and Kubernetes Administrator

Salaries vary based on experience and location, but here are some general estimates:

  • Linux System Administrator: $80,000 - $110,000 per year
  • Cloud Engineer (AWS, Azure): $110,000 - $150,000 per year
  • Virtualization Engineer: $90,000 - $130,000 per year
  • DevOps Engineer: $120,000 - $160,000 per year
  • Docker/Kubernetes Specialist: $110,000 - $140,000 per year

A basic understanding of Linux is recommended, but this course is designed to be beginner-friendly. Some knowledge of cloud computing concepts can be helpful, but it is not required.

Linux and cloud computing skills are in high demand in various industries, including:

  • Cloud Computing & Web Hosting (AWS, Azure, Google Cloud)
  • Cybersecurity & IT Security
  • Finance & Banking (Enterprise Cloud Infrastructure Management)
  • Telecommunications & Networking
  • Healthcare IT & Data Management
  • Government & Public Sector IT Infrastructure

By the end of the course, you will:

  • Understand Linux’s role in cloud computing and virtualization
  • Create and manage virtual machines with KVM
  • Deploy and configure AWS EC2 instances
  • Set up and optimize Azure Virtual Machines
  • Use Linux as a Docker host for running containerized applications
  • Optimize cloud-based virtual machines for performance and security
  • Linux is the preferred OS for cloud infrastructure and servers, while Windows is more common for desktop computing.
  • Linux is open-source and more customizable, whereas Windows requires licensing.
  • Most cloud platforms, including AWS and Azure, offer better support for Linux-based workloads.

Yes! Linux, cloud computing, and virtualization skills are highly valued by employers. To improve your job prospects:

  • Practice deploying and managing Linux-based virtual machines
  • Gain hands-on experience with AWS, Azure, and Docker
  • Work on cloud-based projects and add them to your resume
  • Obtain certifications like AWS Certified Solutions Architect, Azure Administrator, or Red Hat Certified Engineer (RHCE)
  • Apply for Linux administrator, cloud engineer, or DevOps roles

This course is self-paced, and the completion time depends on your learning speed:

  • Fast learners: 1-2 weeks
  • Intermediate learners: 3-4 weeks
  • Beginners (who need more practice): 5-6 weeks

You will need:

  • A Linux distribution (Ubuntu, CentOS, Debian, etc.) installed on your system
  • A virtual machine environment (KVM, VirtualBox, or VMware)
  • An AWS account to create EC2 instances
  • An Azure account to set up Virtual Machines
  • A command-line terminal for managing Linux and cloud-based services
  • Set up virtual machines on your local system using KVM
  • Deploy cloud-based VMs on AWS and Azure for hands-on experience
  • Experiment with Docker containers on a Linux host
  • Build and test cloud infrastructure projects using real-world scenarios
  • Join online Linux and cloud computing communities for networking and learning

 

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