49-783 Introduction to Cloud Computing

6 units, Carnegie Mellon University

This class is designed to familiarize you with the state of the art in cloud computing and big data analysis. This course is suitable for both students on a technical track engineering, science as well as those on a management track who are passionate about big data powered products. You will study basic types of clouds, widelyused cloud computing systems and their strength and weakness, core concepts and technologies on distributed data storage, distributed processes and services, security practices, popular Big Data Analysis algorithms and machine learning use cases on cloud. You will acquire deeper understanding via both case studies from industry big players as well as a projectbased handson application build and deployment on cloud no technical prerequisite. After completing the course students will be able to Build a basic product on two wellknown cloud systems Make architectural decisions on choosing the right cloud type, core technologies and services Make business decisions on cloud vendors and the right level of investment on cloud Critique some current industry cloudbased solutions The R5 section of this course is specifically reserved for students in the PartTime Remote MSSM program

Prerequisites: none listed

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