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Reza Farivar, Roy H. Campbell, P. Brighten Godfrey, Ankit Singla, Dr. Jeff Tjiputra, Dr. Thomas Underhill, Indranil Gupta, Jeff Tjiputra, Thomas Underhill, Jarrod Jordan, and Patrick Appiah-Kubi

The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.

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The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.

The first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.

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What's inside

Six courses

Cloud Computing Concepts, Part 1

(0 hours)
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies. Learn about such fundamental distributed computing "concepts" for cloud computing, including clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much more! Know how these systems work from the inside out.

Cloud Computing Concepts: Part 2

(0 hours)
Cloud computing systems, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing, including clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much more!

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

(0 hours)
Welcome to Cloud Computing Applications, a two-part course on cloud computing and big data. In this first course, we'll cover the technologies that make up cloud computing, including virtualization, containers, and cloud service offerings. We'll also discuss higher-level cloud services like platform as a service and serverless architectures.

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

(0 hours)
Welcome to the Cloud Computing Applications course, Part 2, which explores how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information.

Cloud Networking

In the cloud networking course, we will explore the network's role in enabling cloud computing. We will examine current practices and emerging research that may shape the future of cloud networks.

Cloud Computing Project

This six-week Project course applies theories and techniques from previous courses in the Cloud Computing Specialization.

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