Work Automation AI Agent Ready for Immediate Use in Companies (w. n8n, LangGraph)

I completed 4 lectures through the "AI Agent Practical Application Complete Mastery Roadmap." Although I said I would watch them bit by bit, since I didn't have much basic knowledge, I kept checking the code in between and continuously looking up things I was curious about, so it took me over 2 weeks. ^^;; Thanks to the excellent lectures, I'm learning a lot. Trying to absorb so much into my head in a short time feels a bit overwhelming, but I'll come back and learn again whenever needed. I can feel AI developing and changing rapidly. Looking at the code, there are some items that have changed in the latest versions, so I'll leave those in the QA section. Now I'm going to try various things based on what I've learned. Thank you for the excellent lectures, and (if you have plans) I look forward to new lectures or books that will be released.

I've been wanting to learn n8n for a while, and I was able to study it well during this long Chuseok holiday. I had the opportunity to take your AWS course before, and your teaching skills were so good that I enrolled in several of your courses on Inflearn as well. I look forward to your continued guidance.

The process of directly seeing how the shallow knowledge of artificial intelligence I learned during my undergraduate years could be applied in practical work was extremely interesting. In particular, I was able to gain many ideas through the lectures and tried to apply them immediately. Recently, at a hackathon, there was a task where I needed to generate different random topics for 40 teams. What would have taken a long time if done manually was completed in just 20 minutes thanks to the AI agent. That moment was truly thrilling. Also, I really appreciated how Byungjin showed the process of solving problems when errors occurred during the lectures. Rather than simply providing the correct answers, I was able to gain great insights by watching the process of analyzing problems and finding solutions. I feel like I'm experiencing firsthand the tremendous benefits that come from automation!

I urgently needed to create a POC for a RAG project that came up suddenly, and while looking for suitable lectures, I tried a preview lecture and immediately purchased the roadmap. I quickly went through it once without hands-on practice, just to skim through the concepts. Since I started using cloud code, I felt like I could build anything on my own. Now I truly feel like I can build anything. The project contract cost (with the project contract being certain if I just create a good POC) is hundreds of times more than the instructor's roadmap cost - I don't know where else you can find such cost-effectiveness. Here are the lecture advantages I experienced: 1. Clear pronunciation and good delivery. 2. It's realistic because it contains processes with mistakes/typos rather than being a perfect lecture without any errors. 3. References documents including papers are mentioned. 4. Introduces various tips that can only be known through actual work experience (line breaks in pdf parsing/prompt writing/table and image processing...). 5. English pronunciation isn't strange? (Many instructors pronounce basic English words ridiculously, which was often bothersome, but there were no such cases here) 6. Important concepts are repeated dozens of times. You'll understand eventually. When I first listened to the LangGraph lecture and heard mentions of edge/node/state, I wondered what it was about. But just watching the same process being created hundreds of times, I think I roughly understand it now. I usually don't leave course reviews, but I strongly recommend this for those learning langchain/langgraph/rag.

The fast-paced progression (though I am watching at 1.2x speed) and this feeling like a mentor at work is sharing only the essential gems! It's exciting and great! 😆

It was good because it was concise yet specific.

I am a 13-year JAVA freelance developer with 13 years of experience. I had many concerns about which direction to take my career due to the rapid pace of AI development, but after taking this course, those worries have been significantly resolved. My direction has become so clear that I'm now looking into LLM-based application development for my next project. I gained confidence after listening to the instructor's lectures. I could truly feel what the instructor meant when he said "it's nothing special once you try it" - the course was delivered in such an accessible way. By "accessible," I don't mean the difficulty level was simply low, but rather that the instructor repeatedly emphasized key concepts and honestly showed the failure processes and thought procedures, which greatly helped me understand the learning flow. (These things are actually very helpful in real work situations) I've taken many Inflearn courses, but there aren't many with quality high enough to apply directly to real work. Among them, I felt this course was particularly outstanding in terms of practicality and completeness. I quickly went through it once, and the instructor's pronunciation was so clear that I had no difficulty listening at 2x speed. It even made me think I should start studying English again. Also, I wanted to learn LangChain and n8n, and the necessary content was packaged together so well that learning efficiency was high. The fact that videos are continuously updated is also very good. In an era where technology changes rapidly, seeing the instructor continuously provide supplements and improvements gave me great confidence. Overall, it was a very satisfying course. If I meet you in the field later, I'll buy you a meal at least 😊

Thank you for the great lecture!