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Software Defined Networking

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Course Report - Software Defined Networking

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

32 hours

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

3 hours per week

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Teaching Type

Self Paced

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Video Content

32 hours

Course Description

This course will teach you about software defined networking, how it has changed the management, maintenance, and security of communications networks.

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Highlights

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Pedagogy

Top 30 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major Network Function Virtualization skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Network Function Virtualization, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Network Function Virtualization, boasting a rating greater than 4 and an overall rating of 4.8. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Network Function Virtualization.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Course Instructors

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Dr. Nick Feamster

Professor

Nick Feamster is a professor in the Department of Computer Science. He received his PhD in Computer Science from MIT in 2005, and his SB and MEng degrees in Electrical Engineering and Computer Scienc...

Course Reviews

Average Rating Based on 4 reviews

4.8

75%

25%

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