While working on the ML Project, I felt the need for data construction and model learning pipeline automation, including collection, refinement, processing, and verification, so I found lecture materials in Korean and took the course. First of all, I liked that the lecture was in Korean, so I could listen to it comfortably, and the instructor introduced the necessity of MLOps based on his practical experience, so the content was easy to understand. In addition, the parts where he introduced and practiced various SaaS tools used in the field for pipeline construction were very useful. Since I am a researcher, I lack background knowledge in CS or DevOps, so I am studying related content by searching for materials based on keywords. From an ML perspective, I think this lecture is more helpful to those who have experience in ML development, even for simple projects. I think this lecture is very helpful to those who are working on ML projects.