사물인터넷융복합논문지 (Journal of Internet of Things and Convergence)

한국사물인터넷학회 (The Korea Internet of Things Society)
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클라우드 기반 인공지능 교육 플랫폼 구현

Implementation of Cloud-Based Artificial Intelligence Education Platform

  • 위우진 (동신대학교 컴퓨터공학과) ;
  • 문형진 (동신대학교 컴퓨터공학과) ;
  • 류갑상 (동신대학교 컴퓨터공학과)
  • Wi, Woo-Jin (Dept. of Computer Engineering, Dongshin University) ;
  • Moon, Hyung-Jin (Dept. of Computer Engineering, Dongshin University) ;
  • Ryu, Gab-Sang (Dept. of Computer Engineering, Dongshin University)
  • 투고 : 2022.09.16
  • 심사 : 2022.11.07
  • 발행 : 2022.12.31
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초록

빅데이터 분석 및 AI 개발자에 대한 수요가 증가하지만 이를 공급할 교육 기반이 부족한 실정이다. 본 논문에서는 클라우드 기반 인공지능 교육 플랫폼을 개발하여 교육기관 및 IT기업에서 실무 중심의 실습 교육을 저비용, 고효율로 학습할 수 있는 환경 구축에 목표를 두었다. 교육 플랫폼의 개발은 사용자별 시나리오 기획, 아키텍처 설계, 화면 설계, 개발 기능 구현, 하드웨어 구축으로 진행하였다. 본 교육 플랫폼은 쿠버네티스 기반으로 컨테이너화된 워크 로드와 서비스관리 플랫폼, 강사·수강생을 위한 강의 및 개발 플랫폼으로 구성되어 있으며, 실시간 알람 시스템과 에이지 테스트로 클라우드 안정성을 확보하였고, CI/CD 개발 환경을 제공하며, 도커 이미지 배포를 통한 신뢰성을 확보하였다. 본 교육 플랫폼의 개발로 교육분야 신사업 진출의 기회를 확대하고 AI 및 빅데이터 분야의 실무 인력양성에 기여할 것으로 판단된다.

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.

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참고문헌

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