Cultivating “Industry-Oriented AI Experts”… K-Digital Training Successfully Concluded
- ‘Industrial AI Expert Projects with Deep Learning’ Program Achieves 100% Completion Rate
- Practical competencies demonstrated through projects based on real industrial data in manufacturing, healthcare, agriculture, and more
▲Program completers and related officials
At the ‘KDT Final Presentation and Completion Ceremony’ held at the Natural Sciences Campus
(Front row, from left)
Professor Hyunseung Choo (Head of the ICT Research and Education Foundation), Mr. Seungjin Choi(Former Professor of POSTECH), Professor Jong Pil Jeong and Professor Chaegyu Lee(Adjunct Industry Professor)
On Saturday, the 13th, the final presentation and completion ceremony for the ‘K-Digital Training (KDT): Industrial AI Expert Projects with Deep Learning’ program was successfully held at the Engineering Building 1 of the Natural Sciences Campus in Suwon, Gyeonggi-do. The event was organized to cultivate practice-oriented artificial intelligence (AI) professionals who will lead the era of the Fourth Industrial Revolution and to share the outcomes of the training program.
The program was jointly hosted by the ICT Research and Education Foundation, the Department of Smart Factory Convergence, the Research & Business Foundation, and the RISE Program Group. It was conducted as a multi-ministerial collaborative initiative supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) under the Ministry of Science and ICT, and the Korean Skills Quality Authority of Ministry of Employment and Labor. The event was attended by key officials from theKorean Skills Quality Authority of Ministry of Employment and Labor, as well as major AI faculty members of Sungkyunkwan University—including Professors Seungjin Choi, Hyunseung Choo, Jongpil Jeong, and Chaegyu Lee—and program completers.
This long-term program was conducted over approximately five months starting in July and was designed to respond to the rapidly increasing demand for digital transformation (DX) across various industrial sectors, including manufacturing, healthcare, and agriculture. The core objective of the program was to go beyond theoretical instruction and foster “practice-ready advanced professionals” capable of analyzing real industrial data and solving concrete problems using AI and deep learning technologies.
Notably, despite being offered to working professionals, the program demonstrated exceptionally high engagement. All 30 participants met the rigorous completion requirements—an attendance rate of at least 80 percent and participation in the final project presentation—achieving a remarkable 100 percent completion rate. Furthermore, even while balancing work and study, participants recorded an average attendance rate of 98 percent, clearly demonstrating their high level of satisfaction and immersion in the program.
During the final presentation session, a total of ten teams presented the outcomes of projects carried out over the five-month period. Participants selected topics based on real challenges faced by companies and maximized on-site adaptability through project-based learning (PBL), independently leading the entire process from problem definition and data preprocessing to model implementation. The teams strategically applied core deep learning technologies, including convolutional neural networks (CNNs) specialized for image analysis, recurrent neural networks (RNNs) strong in time-series data processing, and Transformer models for advanced natural language processing. High-quality results were achieved using a high-performance GPU cloud environment, drawing significant attention from the evaluation panel.
The evaluation panel closely examined not only each team’s presentation but also live demonstrations, thoroughly assessing the technical completeness and readiness for practical application. Awards were presented to teams with outstanding performance, and all participants who successfully completed the program were awarded certificates issued in the name of Sungkyunkwan University.
▲ A representative team of completers presents the final project outcomes and receives evaluations from the judges.
Professor Jong Pil Jeong, who oversaw the event, stated, “This K-Digital Training program focused on securing practical problem-solving capabilities that can be immediately applied in industrial settings, going beyond simple knowledge transfer.” He added, “We will continue to strengthen the AI professional talent ecosystem through close cooperation with the government and related institutions, while actively supporting the career development and employment linkage of program completers.”
Meanwhile, building on the successful operation of this program, SKKU plans to expand the scope of education and collaboration beyond the smart factory field to a wide range of industries. Through these efforts, it aims to strengthen national industrial competitiveness and continue creating exemplary models of industry-academia cooperation that will lead future society.
List
