Seoul AI Hub (Director Chan-jin Park) of Seoul Metropolitan Government is starting in earnest to foster advanced practical AI convergence talents who will lead the digital transformation of the manufacturing industry. Seoul AI Hub announced on the 25th that it will be recruiting students for the 'AI+Manufacturing Professional Training Course' until May 28th.
This training was designed to foster practical experts who can solve problems based on data as demand for AI technology in the manufacturing industry increases. The goal is to go beyond simple technical transfer and combine industry domain knowledge with the latest AI technology to produce talents with practical capabilities that can be immediately applied in the field.
The training targets ▲PhD holders ▲PhD students ▲People with more than 5 years of industry experience including masters, and focuses on fostering convergence experts who can apply AI technology to the manufacturing industry. A total of 50 people will be selected, and the training is completely free. The training will be held offline for a total of 6 sessions (19 hours) from June 4 to July 8 at the Seoul AI Hub in Yangjae-dong. Applications are accepted through the Seoul AI Hub website.
The AI+Manufacturing Professional Training Course is comprised of a practice-oriented curriculum and the best instructors in each field in Korea, securing both quality of education and industrial applicability. Professor Chang-wook Kim of Yonsei University’s Department of Industrial Engineering will lecture on an overview of manufacturing AI and domestic and international technology trends, while Professor Pil-sung Kang of Seoul National University’s Department of Industrial Engineering will lecture on various manufacturing AI application cases, including quality prediction based on facility sensor time series, defect detection using machine vision image data, and language model-based log anomaly detection, along with practical training. Professor Jong-seok Lee of KAIST’s Department of Industrial and Systems Engineering will introduce AI autonomous control technology for process optimization, and in the last session of the training, industry experts, such as Seong-ho Yoon, CEO of MakinaRocks, Byeong-dong Yoon, Professor of Mechanical Engineering at Seoul National University who is also the CEO of OnePredict, and Chan-jin Park, Director of Seoul AI Hub (former Managing Director of Data Science at SK Hynix), will share cases from actual industrial sites through a special seminar.
The Seoul AI Hub has been promoting the AI+X convergence advanced education course since 2023. In 2023, education was operated in the bio field with the participation of Seoul National University AI Research Institute and Green Cross Mokam Research Institute, and in 2024, it will be expanded to the healthcare and robot fields, with a total of 152 industry practitioners participating in the education. In particular, the AI+Healthcare course with the participation of Seoul National University Hospital and KAIST faculty helped the latest technologies such as biosignal analysis, disease prediction based on medical images, and generative AI-based medical knowledge processing to be applied to actual fields. The AI+Robot course led by Seoul National University AI Research Institute also received high evaluations as a convergence case that applied cutting-edge technologies such as robot control, reinforcement learning, and multimodal AI to practice. The average education satisfaction of the trainees reached 4.5 out of 5, and many excellent industrial application results were produced through team project practice and expert mentoring.
Based on these experiences and achievements, Seoul AI Hub has expanded its education target to the manufacturing industry this year. In the manufacturing industry, the use of AI technology such as quality prediction, process optimization, and equipment predictive maintenance is becoming increasingly essential, and the demand for experts with domain-specific AI capabilities is rapidly increasing across the industry. Accordingly, Seoul AI Hub plans to focus on training high-level talents who can be immediately put to work in the field.
Park Chan-jin, head of the Seoul AI Hub Center, said, “The use of AI in the manufacturing sector is an important direction directly related to national competitiveness. The ‘AI+Manufacturing Professional Training Course’ is a valuable opportunity to view the present of the manufacturing industry and the future vision brought about by the rapid development of AI technology through condensed core lectures.” He added, “This training will go beyond simple theory transmission and become a representative case of training practical talent who can define real-world problems in the manufacturing field and solve them with AI technology.” He added, “The Seoul AI Hub will continue to create an effective ecosystem that organically connects technology, industry, and talent.”
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