Cloud Computing Security

Learn how to identify security issues in the cloud and industry-standard techniques and procedures to prevent and mitigate risks.

Created by: Jeff Tjiputra

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Course Description

How do you protect the critical data that is increasingly being stored in the cloud? Learn how to build a security strategy that keeps data safe and mitigates risk.
In this course, part of the Cloud Computing MicroMasters program, you will be introduced to industry best practices for cloud security and learn how to architect and configure security-related features in a cloud platform. Case studies and government standard documents will be reviewed to help ensure appropriate levels of security are implemented.
You'll develop the necessary skills to identify possible security issues in the cloud environment. You will also gain experience with tools and techniques that monitor the environment and help prevent security breaches such as monitoring logs and implementing appropriate security policies.
Earn up to $225 in AWS promotional credits! Students who enroll in this course are eligible for $25 in AWS promotional credit to cover the cost of the hands on labs. Students can claim this credit after completing some initial course work but before beginning the first AWS lab. Students also qualify for an additional $200 AWS promotional credit by purchasing a verified certificate and successfully completing the final project.
This course is part of the Cloud Computing MicroMaster's program from UMGC. Upon completion of the program and receipt of the verified MicroMaster's certificate, learners may then transition into the full UMGC Master's Program in Cloud Computing Architecture. See the MicroMasters program page for more information.

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Instructor Details

Jeff Tjiputra

Dr. Tjiputra is the Chair of the Cloud Computing Architecture program at University of Maryland Global Campus. He has over fifteen years experience teaching computer and information technology courses including computer networking, cybersecurity, and cloud computing.

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