Ansible Playbook Tutorial

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    No Information
  • Language
    English
  • Start Date
    Self Paced
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    /
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This Ansible Playbook Tutorial provides an introduction to Configuration Management and explains how it can be used to address the challenges of managing complex systems. Learn how to use Ansible to automate your infrastructure today.
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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course provides an introduction to Configuration Management and an overview of Ansible Playbook. It covers topics such as why Configuration Management is important, different Configuration Management Tools, what is Ansible, features of Ansible, a case study of NASA, Ansible Architecture, an example of Ansible Playbook, applications of Ansible, and a demo on writing an Ansible Playbook to deploy a LAMP Stack on a remote machine.

[Applications]
After completing this course, students should be able to apply the concepts of Ansible Playbook to their own projects. They should be able to create and manage Ansible Playbooks to automate tasks and deploy applications on remote machines. Additionally, they should be able to use Ansible to manage and configure their infrastructure.

[Career Paths]
1. DevOps Engineer: DevOps Engineers are responsible for managing the development, testing, and deployment of applications and services. They use a variety of tools, such as Ansible, to automate processes and ensure that applications are running smoothly. As the demand for DevOps Engineers continues to grow, the need for professionals with experience in Ansible is also increasing.

2. System Administrator: System Administrators are responsible for maintaining and managing computer systems. They use Ansible to automate tasks and ensure that systems are running efficiently. With the increasing demand for automation, System Administrators with experience in Ansible are in high demand.

3. Cloud Engineer: Cloud Engineers are responsible for managing cloud-based applications and services. They use Ansible to automate tasks and ensure that applications are running smoothly. As cloud computing continues to grow, the need for Cloud Engineers with experience in Ansible is also increasing.

4. Software Developer: Software Developers are responsible for developing applications and services. They use Ansible to automate tasks and ensure that applications are running efficiently. With the increasing demand for automation, Software Developers with experience in Ansible are in high demand.

[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, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. As technology continues to evolve, this degree path will become increasingly important for those looking to stay ahead of the curve.

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 systems analysis, database management, network security, and web development. As businesses continue to rely on technology to increase efficiency and productivity, this degree path will become increasingly important.

3. Master of Science in Cybersecurity: This degree path focuses on the security of computer systems and networks. It covers topics such as cryptography, network security, and digital forensics. As cyber threats continue to increase, this degree path will become increasingly important for those looking to protect their organizations from malicious actors.

4. Master of Science in Data Science: This degree path focuses on the analysis of large datasets. It covers topics such as machine learning, data mining, and predictive analytics. As businesses continue to rely on data-driven decision making, this degree path will become increasingly important for those looking to stay ahead of the competition.

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