In the ML field, the most time-consuming and costly thing is not model development, but data preparation (preprocessing, transformation, etc.) and deploying and continuously maintaining the model for operation after learning the ML model. The tool that supports this is MLOps, and this course is very helpful for practical work in a situation where there is not much information about MLOps.