First of all, if you are new to n8n, I recommend taking other basic courses before this one. I could follow along until the middle, but as it progresses, it feels like the instructor skips explanations or teaches under the assumption that you already know a certain amount. For example, while some nodes are explained in detail, others are just used without any explanation, so I find myself having to ask AI for help while listening to the lecture. It's good up until the midpoint, but as it goes on, it seems like a difficult course for a layperson to follow. ㅠ

I am learning a lot!

Where should I leave my question?

I like this lecture because it teaches concepts, and above all, I appreciate the instructor's mindset.

This is a truly amazing lecture that solves problems from the very fundamentals. I'll recommend it to many people.

I have completed uploading all the lectures for every part. How did you find the course? Project 2 must have been quite tight, and especially in Project 3, as you naturally used what you learned + additional concepts unfolded, the parts where you looked back and reviewed what came before probably gradually decreased. Since everyone will experience different levels of difficulty, I expect that some of you will naturally have questions that haven't been resolved, or parts that seem to have been glossed over in the lectures. Feel free to leave questions on Inflearn, or you can leave them in the 'Course Questions' tab at this Discord link https://discord.gg/juEUX2Wv where I check more frequently and can respond faster. Please let me know where you're stuck. I believe it's also the instructor's role to tell you 'just move forward for now.' Great work, everyone.

I really loved how you continuously emphasized what's most important rather than getting buried in AI or the latest technologies. I can really feel that this is a lecture you've thought about for a long time, tried out, and created, and the video and voice are clean, making it easy to concentrate! I'll finish n8n completely with this lecture - just this one lecture - and ultimately try various approaches to see what value I can create with it. Thank you!