High-performance computing (HPC) is an essential element that supports innovation across science, technology, economy, and society. Recently, as rapidly spreading intelligent information such as big data and artificial intelligence has become larger and more sophisticated, HPC is actively working as a core infrastructure that supports this smoothly. However, there is a lack of training systems to develop, operate, and utilize HPC, making it difficult the professional HPC manpower training. Accordingly, we analyzed the results of HPC training conducted over the past year by KISTI, Korea's only HPC public service institution, and we would like to suggest a strategy to overcome these.

In order to foster AI experts needed in each industry in the era of digital transformation where AI and various industrial technologies converge, the AI Integrated Education Consortium was formed by the National Research Council of Science and Technology(NST) and AI education organizations (KISTI, KIRD, and ETRI) to establish and operate three-stage, six-course education programs. The training targets are employees of a total of 35 institutions, including research institutes, subordinate institutes, and research institutes under the Ministry of Science and ICT, and the cumulative target of 10,000 trainees is being set by 2024 after the implementation in 2022. In this study, we present the achievements and future prospects of the AI Integration Education, which is celebrating its third year of implementation as of April 1, 2024.

There has been increasing interest in artificial intelligence (AI) in various fields. This phenomenon calls for human resources to be equipped with the knowledge and skills of AI and data. The Korean Ministry of Education has opened up introductory courses in AI to high school students since the second half of 2021. It will also include AI education in the 2022 revised curriculum for elementary, middle, and high school students. Despite these efforts to enhance students’ digital literacy through the innovation of the national curriculum, opportunities for taking advantage of AI and data education should be reached for more diverse learners. At the same time, the courses need to be designed with not only theoretical but practical contents and activities based on learner needs. Under these circumstances, the Science Data Education Center at the Korean Institute of Science and Technology Information (KISTI) has been providing AI and data education programs either online or face-to-face for university members, such as undergraduates, graduates, researchers, and professors. In this study, we aim to present cases of educational programs on AI and data operated by the Science Data Education Center, especially regarding those for the university components. Pertinent implications derived from the results of operating the programs will be discussed.