It was well-organized and easy to understand.

The way you clearly explained complex technical concepts from a practical perspective was very impressive, and the part where you systematically organized AI's visual intelligence and thinking stages was especially helpful. The same meticulous analytical skills you showed in your previous security lectures are embedded in this AI agent architecture design, making it a high-quality introductory guide that I would strongly recommend not only to beginners but also to those considering AI implementation in the field. I am very excited because I feel that by following this roadmap until the completion of Step 4 at the end of April, I will eventually become an architect capable of building high-level AI systems.

I have always been very interested in AI, but I often gave up because I kept hitting the wall of coding. However, this lecture was an innovative experience that allowed me to perfectly understand the thought structure of AI without writing a single line of code. Rather than just learning how to ask ChatGPT good questions, I learned how to draw the blueprint for how AI should operate as an 'agent' that judges and executes on its own. Now, the path to utilizing AI, which once felt overwhelming, finally seems clear. Despite being an introductory level, it was full of insights that can be applied directly to practical work, so I am already looking forward to the Level 2 LangGraph practical course opening at the end of March!

As someone new to smart factories, this was very helpful in understanding the overall structure. The terminology explanations and workflows were well-organized with a focus on visuals, making it easy for non-majors to follow along without feeling overwhelmed. I feel like the vague concepts I had about smart factories have been clearly organized, and I think this is a perfect introductory course.

Communication for questions and answers is not going smoothly.