Get edge computing technology training from IEEE. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. These courses are designed to help engineers stay up-to-date on the latest technologies. Produced and vetted by leading experts, you can count on IEEE Continuing and Professional Education courses to equip you with the information you need to stay current in your field.
IEEE Introduction to Edge Computing
With the proliferation of the Internet of Things (IoT), we have seen the dawning of the IoE (Internet of Everything) era along with a massive increase in data generation. Issues in the centralized big data processing era have helped launch a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. In this dynamic online course program from IEEE you’ll learn more about what edge computing is, and then explore several practical applications, ranging from cloud offloading to smart home and city, as well as collaborative edge. You will also discover several challenges and opportunities in the field of edge computing.
Designed for organizations investing heavily in edge, train your entire technical team with this five-course program.
Topics covered include:
- Applications Scenarios of Edge Computing
- Designing Security Solutions for Edge, Cloud, and IoT
- Overview of Edge Computing
- Research Challenges in Edge Computing
- Tools and Software for Edge Computing Applications
Upon successful completion of IEEE Introduction to Edge Computing course program, your engineers will receive valuable CEUs/PDHs from IEEE that can be used to maintain engineering licenses.
Meet the Instructors
IEEE has partnered with some of the top experts in edge computing in order to provide a comprehensive overview of edge computing, including applications, security, tools and more.
The lead editor of the IEEE Introduction to Edge Computing course program is Dr. Weisong Shi. A well-known leader in edge computing and an IEEE Fellow, Dr. Shi co-founded the ACM/IEEE Symposium on Edge Computing (SEC) in 2016 and served as the founding steering committee chair. He is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University. There he directs the Mobile and Internet Systems Laboratory, Connected and Autonomous Driving Laboratory.
Course Program Details
The IEEE Introduction to Edge Computing online training program includes the following courses:
Applications Scenarios of Edge Computing
This course introduces the application scenarios of edge computing. Three real-world applications including smart home, public service, and the autonomous vehicle will be covered along with the discussion of the benefits and challenges by employing edge computing. This course will be instructional for practitioners in their designing and developing of their edge computing applications.
Designing Security Solutions for Edge, Cloud, and IoT
Not only does this course analyze the new challenges in edge computing, but it also presents two novel edge-based security solutions for IoT applications. First, EdgeSec designs a novel security service that is deployed at the Edge layer to enhance the security of IoT systems. Second, the secure and efficient smart data collection framework enables secure data readings from smart grid devices based on a two-phase authentication protocol.
Overview of Edge Computing
This course will help you to learn why edge computing is an important development in the computing landscape. The lecture is organized in three parts. The first part defines edge computing and lists the different ways in which it can deliver value. The second part presents experimental evidence that low latency, one of the key attributes of edge computing, can substantially improve user experience. The third part describes how edge computing enables two new classes of applications: wearable cognitive assistance, and scalable real-time video analytics
Research Challenges in Edge Computing
This course discusses of some of the major challenges facing edge computing. Not exclusively, these major challenges range from the underlying infrastructure construction to the programming model design, and from the resource discovery to application QoS demand and optimizations. Attention must also be given to the security and privacy at each layer of this new computing paradigm.
Tools and Software for Edge Computing Applications
This course serves as a high-level literature review of representatives of the most popular tools and software. The tools and software introduced in this lecture are a tip of the thousands of open-sourced or production-ready tools and software available in the community.