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Network Function Virtualization

Master network function virtualization concepts, implementation techniques, and cloud deployment strategies.

Master network function virtualization concepts, implementation techniques, and cloud deployment strategies.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full System Issues in Cloud Computing Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.8

(32 ratings)

2,877 already enrolled

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Network Function Virtualization

This course includes

7 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand NFV concepts and middlebox virtualization

  • Implement efficient virtual network functions

  • Design NFV control plane architectures

  • Deploy NFV in cloud infrastructures

  • Orchestrate network function chains

Skills you'll gain

Network Function Virtualization
Cloud Computing
Virtual Network Functions
SDN
Network Management
Docker
Performance Optimization
Cloud Infrastructure
System Architecture
Network Services

This course includes:

4.7 Hours PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 6 modules in this course

This comprehensive course explores Network Function Virtualization (NFV) from a systems engineering perspective. Students learn about virtualizing network components, optimizing operating systems for efficient networking, and implementing user-plane libraries for packet processing. The curriculum covers the challenges and solutions for building scalable networking services in datacenters, focusing on the synergy between SDN and NFV. Through hands-on projects with Docker and Ryu SDN controller, participants gain practical experience in implementing NFV orchestration and control planes.

Introduction to Network Functions

Module 1 · 1 Hours to complete

Developing Virtual Network Functions

Module 2 · 1 Hours to complete

System Architecture for NFV Ecosystem

Module 3 · 1 Hours to complete

Deploying Virtualized Network Functions in Managed Cloud infrastructures

Module 4 · 1 Hours to complete

Guest Lecture for an Industry Perspective

Module 5 · 47 Minutes to complete

Project

Module 6 · 24 Minutes to complete

Fee Structure

Instructor

Umakishore Ramchandran
Umakishore Ramchandran

11,887 Students

4 Courses

Expert in Aluminum Alloy Metallurgy and Renowned Educator

Dr. Sanders, a faculty member at Georgia Tech since 1986, specializes in the physical metallurgy of aluminum alloys, with a focus on precipitation hardening. Previously, he was on the faculty at Purdue University and worked as a research scientist at Alcoa Technical Center and Georgia Tech's Mechanical Properties Research Laboratory. His research covers areas like phase transformations, corrosion, and fatigue in Al-Li alloys, with over 100 publications and 10 international conferences organized. Dr. Sanders is a Fellow of ASM and a past Fulbright Research Fellow. He has taught over 1,000 students, continually innovating his materials science courses, including through Coursera.

Network Function Virtualization

This course includes

7 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.8 course rating

32 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.