Driven by a need to overcome cloud overhead in latency and bandwidth and a demand for more local processing, edge computing is poised to enable billions of new IoT end-points and real-time local artificial intelligence/machine learning (AI/ML) for autonomous systems. Edge computing allows smart applications and devices to respond to data almost instantaneously, as it is being created, eliminating lag time, which is critical for technologies like self-driving cars.

IEEE Introduction to Edge Computing, a five-course program, is designed for organizations investing heavily in edge. Online and on-demand, train your entire technical team to support this technology.

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Courses Included in the Program:

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  • Overview of Edge Computing: Learn why edge computing is a new and important development in the computing landscape.
  • Practical Applications of Edge Computing: This course introduces the application scenarios of edge computing and will be instructional for practitioners in their designing and developing of their Edge computing applications.
  • Research Challenges in Edge Computing: This course discusses some of the major challenges facing edge computing.
  • Designing Security Solutions for Edge, Cloud, and IoT: This lecture not only analyzes the new challenges in edge computing, but also presents two novel edge-based security solutions for IoT applications.
  • Tools and Software for Edge Computing Applications: This lecture serves as a high-level literature review of representatives of the most popular tools and software.

Presented by:

Edge Computing Professor.png

Weisong Shi
Lead Editor of IEEE Introduction to Edge Computing course program

Professor Weisong Shi is a well-known leader in edge computing. He co-founded the ACM/IEEE Symposium on Edge Computing (SEC) in 2016 and served as the founding steering committee chair.

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