As a junior, this was a lecture where I could learn plenty of things. When I thought the explanations were lacking here and there or didn't know certain terms, I could get help from AI, and in many ways, it was a good lecture for understanding where I was lacking.

I've watched many lectures, but this is the first one that hasn't been helpful. It's not about direct input; it's just explaining with pre-made files, and even though it's called a real-world project, I'm not sure if it really is. It's just opening already created code files, briefly explaining them, and then running them. Explaining and ending it like that. It's not helpful at all, and even the code is just shown by opening it with vi. Asking GPT these days would probably give you higher quality and a better explanation.

I am a system engineer with 5 years of experience. To be honest, it's too difficult. This lecture is necessary for someone who knows what RabbitMQ, Kafka, and Redis are, and is only thinking about how to proceed with a real-world project. It only shows how to deploy all system configurations with Docker and then run Python code. There is no explanation of how to configure it, how the systems are connected, what the program architecture is, and why it was designed this way. As of 2025.03.01, the lecture difficulty is listed as beginner, but the level of the lecture is not for beginners.

I listened to the lecture carefully. The technical content was explained in a friendly and easy-to-understand way, so it felt like a skilled senior was teaching me. Personally, I had a few regrets. First, the sound was too low and the sound quality was not good, so it was difficult to listen to the lecture. There was a lot of explanation about the API specifications, but I felt it was unnecessary for me. Instead, I wish there had been a more in-depth explanation of system design methodology and scaling. In such cases, what components can be considered, what are the advantages and disadvantages of each (although it was explained in Section 2), and what problems and improvements might arise during actual use. Despite this, it was a lecture that I learned a lot from. The instructor said that he would continue to update the lecture and lecture materials, and that he would improve the lecture quality by using a high-quality microphone in the future, so I look forward to it.

The lecture content is really good, but... you say "uh" too much, so it's really distracting to listen to the lecture.