Coursera

Software Defined Networking (Coursera)

Offered by Georgia Institute of Technology,
Software Defined Networking (Coursera)

This course provides an introduction to data center networking technologies, more specifically software-defined networking. It covers the history behind SDN, description of networks in data-centers, a concrete data-center network architecture (Microsoft VL2), and traffic engineering.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 1 of 4 in the System Issues in Cloud Computing Specialization.

Syllabus

WEEK 1
Course Overview & Introduction
This module is a general introduction to cloud computing to set the tone for the technical details to follow in the later modules: What is the origin of cloud computing? Why now? The introduction will cover the current service models in Cloud computing, the Marketplace, and some of the technological challenges with Cloud computing

WEEK 2
Evolution of Data Center Networks
This module covers the evolution of data center networks, including the origins of software defined networking and the networking technology prevalent today in data centers. The module also discusses the traffic engineering challenges specific to data center networks.

WEEK 3
Data Center Network Example
This module presents one example of a data center network, namely, Azure’s VL2. It starts with a general overview of the design principles for data center networks that laid the foundation for the specific design decisions in VL2, which is the foundation for how Azure’s data center networking is architected today.

WEEK 4
DC Networking: Testing, Debugging, and Traffic Evaluation
This module covers topics including metrics for network performance evaluation, tools for testing and debugging DC networks, measurement, and case studies of analyzing DC network traffic.

WEEK 5
Project
This module is a hands-on project to familiarize the student with implementing an SDN controller and testing the performance of traffic engineering rules using Ryu.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

The Unix Workbench (Coursera) Coursera
Johns Hopkins University

The Unix Workbench (Coursera)

Data Science

Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app. The means to these goals are sometimes carried out by writing software. Software can’t be mined out of the ground, nor can software seeds be planted in spring to harvest by autumn. Software isn’t produced in factories on an assembly line. Software is a hand-made, often bespoke good. If a software developer is an artisan, then Unix is their workbench.

Jun 8th 2026
4 Weeks
Programming Unix Machine Learning
Details
Salesforce Integration (Coursera) Coursera
University of California, Irvine

Salesforce Integration (Coursera)

Business

Salesforce Integration explores why data management is so important, how Salesforce can help organize and display reported data to gain insight into trends and patterns, and how to automate manual business procedures. Learners will specifically practice creating custom automation process, building work flows, and performing data modeling. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.

Jun 8th 2026
3 Weeks
Business Data Management Cloud Computing
Details
Cloud Networking (Coursera) Coursera
University of Illinois at Urbana-Champaign

Cloud Networking (Coursera)

Security & Networking

In the cloud networking course, we will see what the network needs to do to enable cloud computing. We will explore current practice by talking to leading industry experts, as well as looking into interesting new research that might shape the cloud network’s future. This course will allow us to explore in-depth the challenges for cloud networking—how do we build a network infrastructure that provides the agility to deploy virtual networks on a shared infrastructure, that enables both efficient transfer of big data and low latency communication, and that enables applications to be federated across countries and continents? Examining how these objectives are met will set the stage for the rest of the course.

Jun 8th 2026
5-12 Weeks
Cloud Cloud Computing Networking
Details
Algorithmic Toolbox (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithmic Toolbox (Coursera)

CS: Software Engineering CS: Theory

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

Jun 8th 2026
5-12 Weeks
Algorithms Debugging Data Structures
Details
Communicating Data Science Results (Coursera) Coursera
University of Washington

Communicating Data Science Results (Coursera)

Statistics & Data Analysis Data Science

Making predictions is not enough! Effective data scientists know how to explain and interpret their results, and communicate findings accurately to stakeholders to inform business decisions. Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to exploit the enormous bandwidth of the human visual cortex. In this course you will learn to recognize, design, and use effective visualizations.

Jun 8th 2026
3 Weeks
Ethics Cloud Computing Privacy
Details
Inheritance and Data Structures in Java (Coursera) Coursera
University of Pennsylvania

Inheritance and Data Structures in Java (Coursera)

CS: Software Engineering Computer Science

This course provides a comprehensive look at Java inheritance, including access modifiers and overriding methods. Students are introduced to abstract classes, and will learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps. Additionally, this course offers strategies for catching errors and debugging code, including an overview of Eclipse’s debugging tool.

Jun 8th 2026
4 Weeks
Java Debugging Data Structures
Details
Linux System Administration with IBM Power Systems (Coursera) Coursera
IBM

Linux System Administration with IBM Power Systems (Coursera)

CS: Information & Technology

This course introduces administrative tasks that a system administrator can perform with Linux hosted on IBM Power servers. This includes virtualization concepts such as logical partitioning, installation of Linux, command-line operations, and more interesting administration and device management tasks. This course includes hands-on exercises with systems from an IBM data center.

Jun 8th 2026
4 Weeks
Linux Information Technology Cloud Computing
Details
Introduction to the Internet of Things and Embedded Systems (Coursera) Coursera
University of California, Irvine

Introduction to the Internet of Things and Embedded Systems (Coursera)

CS: Software Engineering

The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet.

Jun 8th 2026
4 Weeks
Hardware Internet Microcontrollers
Details
Networking and Security in iOS Applications (Coursera) Coursera
University of California, Irvine

Networking and Security in iOS Applications (Coursera)

Security & Networking

You will learn to extend your knowledge of making iOS apps so that they can securely interact with web services and receive push notifications. You'll learn how to store data securely on a device using Core Data. You’ll also learn to securely deploy apps to the App Store and beta users over-the-air. The format of the course is through a series of code tutorials. We will walk you through the creation of several apps that you can keep as a personal app toolbox. When you make your own apps after this course, you can bring in these capabilities as needed. When necessary we pop out of the code tutorials to talk about concepts at a higher level so that what you are programming makes sense.

Jun 8th 2026
4 Weeks
Security JSON Networks
Details
IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies (Coursera) Coursera
Yonsei University

IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies (Coursera)

CS: Information & Technology Computer Science

IoT (Internet of Things) devices are already abundant, but new products that include IoT modules are now a common trend. Also, almost everything is already connected to a Cloud, and much more will be in the future. Naturally, as this trend continues, in the near future almost all devices and appliances will include IoT modules which will use sensor data collection and control/management based on Clouds. Since we will live in an IoT world supported by Clouds, knowledge of the core technologies and platforms of IoT and Clouds will enable you with the tools to become a true leader in the future product and business world. In this course, the start-of-the-art IoT and wireless networks and Cloud technologies are introduced (for details on 1G to 5G mobile communications and smartphone and smart device technology, please take my course “Smart Device & Mobile Emerging Technologies”).

Jun 8th 2026
5-12 Weeks
Cloud Computing Wireless IoT
Details
Data Analytics for Lean Six Sigma (Coursera) Coursera
University of Amsterdam

Data Analytics for Lean Six Sigma (Coursera)

Statistics & Data Analysis Data Science

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.

Jun 8th 2026
5-12 Weeks
Testing Lean Six Sigma Data Visualization
Details