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Acquire Deep Knowledge in Cloud Technologies. Through in-depth presentations and hands-on projects for each layer of the full stack of Cloud technologies, learners acquire the necessary skill-set to work in engineering teams of Cloud providers.
Instructor: Umakishore Ramchandran
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This specialization is a four-course sequence of hands on project-intensive immersive courses aimed at computer professionals to give them an in-depth experience in developing different layers of a Cloud computing infrastructure including software defined networks, distributed runtime systems, application development, and network function virtualization. Each course (roughly 4-5 one hour videos) is organized as discussion of the technical details pertaining to that topic (from selected readings from research papers and other online resources). Each one-hour video is followed by a “hands-on workshop” assignment (roughly 2 hours of development work) which involves developing code and experimentation using a cloud platform of the concepts discussed in the one-hour video lecture.
Applied Learning Project
Each of the four courses has a capstone project that builds on the hands-on workshops associated with the lectures for that course. For e.g., in the SDN course, the learners are expected to design, implement, and thoroughly test a software defined network (SDN) for a distributed server to cater to a variety of services, from regular HTTP web pages to real-time applications such as sensor streaming and video players.
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.
This course provides an introduction to programming frameworks and their implementation issues in the Cloud. It explains multiple topics, including: scalable distributed data stores, resource management (for supporting multi-tenancy and elasticity) and virtualization techniques. Optionally, the student will also be guided in the implementation of a basic version of the distributed runtime system for the Map-Reduce programming framework
This course provides an introduction to the development and support for Cloud-native applications, more specifically it delves into best practices of developing applications; migrating on premise applications to the cloud; the basic building blocks and properties expected from Cloud applications. The course also provide highlights of some novel cloud applications, including geo-distributed computations.
This course covers Network Function Virtualization from the perspective of a systems engineer.
It first discusses the proliferation of middleboxes in enterprise networks and the necessity of virtualizing these components just like software applications. It then details several optimizations in operating systems to facilitate efficient networking on virtualized hardware followed by design decisions in user-plane libraries for bypassing the kernel for efficient packet processing. It then covers the challenges and solutions for building scalable systems for providing networking services in datacenters, specifically the synergy between SDN and NFV to achieve this. The course concludes with a discussion of real-world applications of NFV technology in the cloud computing ecosystem.
The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology. Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education.
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
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