Hello? Instructor, I am currently working as a deep learning developer in the field. Since my main job is developing AI models, I was somewhat indifferent to Kubernetes and Docker. Recently, I was assigned to deploy models through Kubernetes, so I applied for the instructor's lecture and listened to it. There were a lot of terms that I was new to, and there were a lot of new concepts such as Pod, node, and service, so I felt like I was heading towards the bare ground when I did it alone. After listening to the instructor's lecture and applying what I understood to my work, I was able to deploy it efficiently. Also, as I was reviewing, I thought it would be easier if there was a PPT file of the lecture screen, so I asked the instructor, and he uploaded it right away, which was a great help. I organized and summarized the contents of the book that were different from what I heard in the instructor's lecture, and even gave a seminar to my team members. Haha, of course, there were a lot of questions that I answered with, 'I don't know much about that..'. Thanks to the instructor, I was able to break down some of the barriers to Kubernetes. So I started to think that not only ML/DL but also MLOps would be fun. As a first step, I will challenge the CKA (Kubernetes Certified Exam) certification. I will review the lectures more thoroughly and get good results on the exam! Thank you! ps. This is a lecture that I highly recommend to those who are new to Kubernetes! I think it will be very helpful because you can learn everything from terminology explanations to actual application.