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Updated in [April 29th, 2023]
This course provides an overview of the Windows Subsystem for Linux 2 (WSL 2), Docker, Kali Linux and Windows Terminal on Win10. Students will learn how to set up and use WSL 2, run Docker Containers on Windows 10 using WSL 2, use the new Windows Terminal to be more productive, learn Linux easily and quickly by running a lightweight Linux virtual machine on their Windows 10 computer, customize the Windows Terminal so they can SSH or Telnet to Servers or Network Devices, learn how to easily spin up Docker containers on their Windows laptop or computer, and learn how to run Kali Linux using WSL 2 on Windows. The course also covers Visual Studio Code (Vs code) and Kali Linux installation. Students will gain hands-on experience with practical demonstrations.
[Applications]
After completing this course, students will be able to apply their knowledge of Windows Subsystem for Linux (WSL 2), Docker, Kali Linux and Windows Terminal on Win10. They will be able to spin up Docker containers on their computer and use the Windows Terminal to be more productive. They will also be able to customize the Windows Terminal to SSH or Telnet to servers or network devices. Additionally, they will be able to run Kali Linux using WSL 2 on Windows.
[Career Paths]
Recommended Career Paths:
1. DevOps Engineer: DevOps Engineers are responsible for managing and automating the development, testing, and deployment of software applications. They use a variety of tools and technologies, such as WSL 2, Docker, and Windows Terminal, to ensure that applications are deployed quickly and efficiently. As the demand for DevOps Engineers continues to grow, so does the need for professionals with experience in these technologies.
2. Cloud Engineer: Cloud Engineers are responsible for designing, building, and managing cloud-based systems. They use a variety of tools and technologies, such as WSL 2, Docker, and Windows Terminal, to ensure that cloud-based systems are secure, reliable, and scalable. As the demand for cloud-based systems continues to grow, so does the need for professionals with experience in these technologies.
3. Systems Administrator: Systems Administrators are responsible for managing and maintaining computer systems. They use a variety of tools and technologies, such as WSL 2, Docker, and Windows Terminal, to ensure that systems are secure, reliable, and up-to-date. As the demand for systems administrators continues to grow, so does the need for professionals with experience in these technologies.
4. Security Analyst: Security Analysts are responsible for identifying and mitigating security risks. They use a variety of tools and technologies, such as WSL 2, Docker, and Windows Terminal, to ensure that systems are secure and protected from malicious actors. As the demand for security analysts continues to grow, so does the need for professionals with experience in these technologies.
[Education Paths]
Recommended degree 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, and computer systems. It also covers topics such as artificial intelligence, machine learning, and data science. The degree is becoming increasingly popular as the demand for computer science professionals continues to grow.
2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as database management, network security, and web development. It also provides students with the skills to design, develop, and maintain computer systems.
3. Master of Science in Cybersecurity: This degree path provides students with the knowledge and skills to protect computer systems from malicious attacks. It covers topics such as cryptography, network security, and digital forensics. It also provides students with the skills to develop secure software and systems.
4. Master of Science in Data Science: This degree path provides students with the knowledge and skills to analyze and interpret large datasets. It covers topics such as machine learning, data mining, and predictive analytics. It also provides students with the skills to develop data-driven solutions for businesses.