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Implementation of Cloud-Based Artificial Intelligence Education Platform

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(6), pp.85-92
  • DOI : 10.20465/KIOTS.2022.8.6.085
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : September 16, 2022
  • Accepted : November 7, 2022
  • Published : December 31, 2022

Woo-Jin Wi 1 Hyung-Jin Moon 1 Ryu Gab Sang 1

1동신대학교

Accredited

ABSTRACT

Demand for big data analysis and AI developers is increasing, but there is a lack of an education base to supply them. In this paper, by developing a cloud-based artificial intelligence education platform, the goal was to establish an environment in which practical practical training can be efficiently learned at low cost at educational institutions and IT companies. The development of the education platform was carried out by planning scenarios for each user, architecture design, screen design, implementation of development functions, and hardware construction. This training platform consists of a containerized workload, service management platform, lecture and development platform for instructors and students, and secured cloud stability through real-time alarm system and age test, CI/CD development environment, and reliability through docker image distribution. The development of this education platform is expected to expand opportunities to enter new businesses in the education field and contribute to fostering working-level human resources in the AI and big data fields.

Citation status

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