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AutoLearn: Learning in the Edge to Cloud Continuum
DescriptionTechnological advancements have led to an increase in teaching the fundamentals of robotics and autonomous systems and their importance, relying on strong hands-on practical experimentation. National Science Foundation (NSF)-supported testbeds have opened the doors for experimentation and support in the next era of computing platforms and large-scale cloud research.
We present an open-source educational module that conveys accessibility to education, aiming to prepare learners for technological career paths. Our educational module is developed with the motivation to bring hands-on sessions and allow students to attain knowledge in a comprehensive manner. Specifically, we present AutoLearn: Learning in the Edge to Cloud Continuum, an educational module that integrates a collection of educational artifacts, based on an open-source self-driving platform for small scale that leverages the Chameleon Cloud testbed to teach cloud computing concepts, edge devices technology, and artificial intelligence driven applications.
We present an open-source educational module that conveys accessibility to education, aiming to prepare learners for technological career paths. Our educational module is developed with the motivation to bring hands-on sessions and allow students to attain knowledge in a comprehensive manner. Specifically, we present AutoLearn: Learning in the Edge to Cloud Continuum, an educational module that integrates a collection of educational artifacts, based on an open-source self-driving platform for small scale that leverages the Chameleon Cloud testbed to teach cloud computing concepts, edge devices technology, and artificial intelligence driven applications.
Event Type
Workshop
TimeMonday, 13 November 20232:39pm - 2:47pm MST
Location506
Education
Heterogeneous Computing
Reproducibility
State of the Practice
W