Information Technology
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DevOps for Network Engineers (LFS266)

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Course Report - DevOps for Network Engineers (LFS266)

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

30 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

30 hours

Course Description

As organizations adopt Agile principles, the line between Operations and Development is blurring. Both sides are finding common ground and learning to work together. This course is designed to help network engineers become familiar with the DevOps tools required to support the DevOps/Agile process. This course will teach you how to use DevOps tools, Agile processes, and automate networks. It will also prepare you for contributing to connectivity, network performance tuning and security.

Course Overview

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Virtual Labs

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Familiarity with Linux system administration

Familiarity with shell scripting

Knowledge of Python

What You Will Learn

How DevOps teams collaborate on projects, how to confidently work with software and configuration files in version control, how to recognize the roles of SCRUM team members, how to confidently apply Agile principles in an organization, and more

This course will teach you how to integrate into a DevOps/Agile environment, commonly used DevOps tools

Target Students

This course is designed to provide network engineers with the skills necessary to start applying DevOps practices, learn their role in the DevOps cycle, and integrate their expertise in a DevOps environment

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