MDX Students Awarded Dell EMC Cloud Computing Certificates
- Thursday, 20 July 2017
Middlesex University's Department of Computer Engineering and Informatics (DCEI) has recently concluded its Cloud Infrastructure and Services certification (CIS) course, taught by Ms. Engie Bashir, in partnership with industry frontrunner Dell EMC as part of the University's Academic Alliance Programme. MDX Dubai students Azab Jenifer, Danish Nihal, Ndubuisi Ukwuani, and led by top-scorer Joseph Limeta, passed the corresponding certification exam and were awarded the EMC Academic Associate certification. The students can now opt to continue with advanced cloud computing courses in the future for Specialist and Expert level certifications on cloud planning and design. The course, along with a subsequent exam, is offered for free to MDX students as an institutional benefit of the partnership. The CIS course gave the students fundamental knowledge on the revolutionary cloud computing platform, which is currently being adopted by major players in the technological world as means of providing and hosting applications and services. The lectures, conducted over several weeks, tackled a wide variety of topics ranging from the core concepts and principles of cloud computing, its technical components and deployment models, and efficient management of cloud implementation. All these work together to provide the comprehensive understanding required to make informed decisions on building the appropriate cloud infrastructure tailored for a particular business environment.
The DCEI, led by Dr. Fehmida Hussain, has provided courses under its several Academic Alliances to maximize the professional learning opportunities of the students beyond the regular class offerings while helping them keep up with the rapidly-changing tides of the field and preparing them for successful careers. As part of the DELL EMC Academic Alliance, DCEI has offered two other exciting and challenging courses namely: Information Storage and Management (ISM) Course and Data Science and Big Data Analytics (DSA).
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