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A Study on the Standard AI Developer Job Training Track Based on Industry Demand

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(3), pp.251-258
  • DOI : 10.9708/jksci.2022.27.03.251
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 28, 2022
  • Accepted : February 19, 2022
  • Published : March 31, 2022

Won Joo Lee 1 Doohyun Kim 2 Sang Il Kim 2 HanSung Kim 3

1인하공업전문대학
2건국대학교
3소프트웨어정책연구소

Accredited

ABSTRACT

In this paper, we propose a standard AI developer job training track based on industry needs. The characteristic of this curriculum is that it can minimize the mismatch of AI developer job competency between industries and universities. To develop an AI developer job training track, a survey will be conducted for AI developers working in industrial fields. In this survey, among the five NCS-based AI developer jobs, job analysis is conducted by deriving AI developer jobs with high demand for manpower in industrial fields. In job analysis, the core competency unit elements of the job are selected, and knowledge, skills, tools, etc. necessary to perform the core competency unit elements are derived. In addition, a standard AI developer job curriculum is developed by deriving core subjects and road-map that can educate knowledge, skills, tools, etc. In addition, we present an efficient AI developer job training method using the standard AI developer job training course proposed in this paper.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.