I like that it makes it easy to learn practical, helpful information.

This course is essentially paying 138,600 KRW to purchase the 'prompt templates' for image generation introduced in the materials. The course content follows this pattern: 1) Enter the prompt attached in the course materials into GPT. 2) Then, this image is actually generated. At the very least, there should be a review and introduction of the complex prompts the instructor created (which span about two A4 pages), but there is none. The course content simply consists of demonstrating that images are generated when you paste the prompts from a notepad into GPT. The prompt lecture chapter only covers very general information and basic guides, such as the need for clear requirements and specifying desired camera angles. There is no actual instruction regarding the long, detailed prompts the instructor personally crafted for POP and wedding photo printing. It truly only demonstrates that images are generated when you plug them in. The only "application" mentioned is changing minor variations like titles and colors within those templates. I wondered why the course was so short, and now I see why. It feels like going to a math academy to learn the subject, but coming out with nothing but a formula sheet and no explanation of theory or fundamentals. This course might be useful for those who don't need detailed explanations and just want image generation prompts to plug into GPT. However, considering the intent is solely to provide templates, the tuition fee of nearly 140,000 KRW feels quite expensive.

This lecture explains AI image generation by stripping away all the fluff and focusing only on the core essentials. You might be skeptical because the videos are short despite the high price, but it actually saves you time by providing concise explanations of key concepts and examples. The two major points of this lecture are: It is important to write prompts well. People often unconsciously omit background knowledge they already possess when explaining things to others. The same applies to writing prompts. If you leave out background knowledge when writing a prompt, it becomes difficult to get the desired result. If you look closely at the prompts, you will see they are written in quite a bit of detail. It is also important to understand the limitations of AI. Although AI is continuously evolving and its outputs are improving, limitations still exist. While it handles the general composition well, there are often "glitches" or errors in the fine details. To overcome these limitations, it is better to provide more detailed prompts or avoid those specific areas altogether. While you might think of this as a simple image generation course, I believe you can also learn how to write prompts and what kind of approach to take.

The lecture was easy to understand because it was structured systematically with step-by-step examples. I was able to clearly learn what Image 2.0 does well and what it struggles with, which I believe will allow me to generate images more efficiently by applying it to my practical work.