NHN Cloud to Train AI and Cloud Specialists

The increasing demand for skilled professionals capable of managing the entire lifecycle of AI models has prompted NHN Cloud to launch a specialized training program. In partnership with Goodee Academy, NHN Cloud is introducing the "AI Factory GPU-Accelerated MLOps School," a comprehensive program designed to cultivate MLOps (Machine Learning Operations) specialists. This initiative is a key component of the Ministry of Employment and Labor's KDT AI Campus program, highlighting a national effort to bolster AI and cloud computing expertise. The program's core objective is to move beyond mere AI model development, focusing instead on the critical aspects of stable operation, deployment, and performance optimization. NHN Cloud aims to produce talent that is immediately deployable in the field, emphasizing hands-on, practice-oriented education. The curriculum is meticulously designed to cover essential MLOps practices, including container operation using industry-standard tools like Docker and Kubernetes. Participants will also learn to build robust MLOps pipelines and automate the training and deployment of AI models. A significant advantage of this program is the utilization of NHN Cloud's high-performance AI infrastructure, providing trainees with an optimized environment for practical learning. Accredited instructors from NHN Cloud's education center, who possess real-world service operation experience and technical know-how, will lead the courses. This ensures that the training is not only theoretical but also deeply rooted in practical application. The program is structured to run for approximately six months, totaling 1,000 hours, from late June through December. Kim Dong-hoon, CEO of NHN Cloud, emphasized that securing specialized talent capable of connecting technology to actual services is crucial for AI competitiveness. He stated that NHN Cloud, leveraging its proven cloud technology and educational expertise, is committed to continuously fostering practice-oriented talent ready for the AI industry. The collaboration with Goodee Academy and the involvement of professionals from various AI and data specialist companies will further enrich the program by sharing real-world work experience and the latest technological trends. This holistic approach aims to bridge the current talent gap in the MLOps domain, ensuring that AI projects can successfully transition from development to scalable and reliable production environments.