I took this course because I wanted to learn about the payment domain. While the content is good, the teaching style felt like simply reading off a script, and there were many frantic moments where I had to just watch fast-forwarded code writing. My disappointment is as great as my initial expectations. The Q&A section is also not being managed. I will revise my review after completing the course. I believe the following prerequisite knowledge is necessary: (R2DBC, WebFlux). As for Kotlin, if you have extensive experience with Java, you won't have much trouble reading it.

The lecture quality is not satisfactory.

1. Course materials are only partially provided (Python code used in lectures, prompts, and such parts are not provided. If they weren't provided with the intention of having us write them ourselves for practice, that's understandable, but doing fast-forwarded recordings + large amounts of text + following along with the lecture? At least for me, someone who listens during spare time while working, it was burdensome. My personal wish is that the lectures could be broken down more, providing situations and practice scenarios.) 2. As an example of the above point, there's a part in the middle of the lecture where we create prompts based on posts from reddit, but materials for those reddit posts are not provided, and there's no guidance on where to get such materials for individual testing. To provide follow-along practice, at minimum similar materials would be needed, but that part is missing. 3. In the middle section covering promptfoo, it just assumes npx installation is already done and proceeds. 4. The voice tone reduces concentration. 5. Fast-forwarded recordings of code or prompt writing + simple explanations (explanations that sound like reading README files... not engaging): No motivation to follow the class is provided. This is my impression after completing 40% of the course. Honestly, I intended to listen to the entire course before leaving a review, but before finishing the remaining lectures, I'm questioning whether it's right for me to continue listening to this course, and I feel my motivation dropping. The course fee isn't cheap either, so I don't recommend it for those thinking "I should lightly get into prompt engineering." However, for those who already know a bit about prompt engineering and have previously worked with AI through APIs and want to learn more professionally? Honestly, I'm not sure about recommending it... Since you would know better than me, I'll leave it to individual judgment. Please note that this assessment may change as I continue with the remaining lectures.

Hmm.. I'm not really sure if it's a good lecture.. It feels like they're just developing alone and explaining things by themselves before moving on.. And it's not like the materials are kind either... I can't recommend it 😭😭

The lecture is too sloppy, just

During the coding sections of the lectures, no code is provided and there's no explanation - just the instructor coding alone with fast-forwarded recording, making it impossible to follow along with the coding, and it moves too quickly to time the pauses properly. Adjusting the video speed every time is also cumbersome. The provided lecture materials are mostly just a few summary lines about the lecture, and many of these are duplicate pages. It seems like one final page would suffice, but everything that's added step-by-step as explained in the video is included as-is. When important conceptual terms are in English, the pronunciation is hard to understand, but they're not written in the lecture materials, and most of it proceeds with audio recording, making it difficult to take the course. They briefly write 4-5 lines on one PPT page, explain only verbally, and move on... I'm still early in the course, but I hope improvements can be made later on.

It seems like a good example to apply in practice.

It's a little fast to follow, but it seems like a good lecture.

It was nice to see the system building case from a broad perspective.

I took the course because I needed to tune the prompt in detail after using LLM only as a basic tool. It was a lecture that allowed me to understand various methodologies for writing and improving prompts. I liked that it started with the structure and features of LLM and then explained each theory in detail! It was a satisfying lecture that covered not just obvious and simple content, but also how to properly use LLM to improve the quality of the results. Thank you.