It was easy to understand because you explained it so well.

It's quite difficult, but I'm learning a lot because the explanations are more detailed compared to other lectures. I think it's the best lecture in the country.

It was a lecture that explained LangChain 1.0 and LangGraph in an easy-to-understand manner. Contrary to the title about building services, the content is focused on the basics.

Thank you so much for explaining it so well.

I had a rough understanding of each definition that appeared in the lecture, but what's really great is how you explained why those concepts emerged with mathematical explanations while still making them easy to understand.

This is a great lecture for understanding the overall flow. The content is explained in an easy-to-understand way.

Thank you for covering a wide range of topics in a short time, including the parts I wanted. I'll try to apply this and give AI a shot.

Honestly, there are still many formulas and visualization parts that I don't understand, but I now understand which models would be good to use in certain situations, and how machine learning and deep learning coding is generally done. I also implemented random forest machine learning in my actual work, and although I struggled a lot and it was difficult, it was fun to actually implement it and brought back old memories. I plan to take all the AI-related courses in the instructor's curriculum going forward.

It helps you acquire foundational knowledge about big data and artificial intelligence.

Sounds good~