Even when using the exact same AI, some people finish quickly while others struggle with it throughout the entire schedule. From providing AI service development consulting and lectures in corporate settings, I found that the difference ultimately comes down to whether they understand how LLMs work. Have explanations of LLMs always been so difficult that you couldn’t understand them? I explain the principles of LLMs and how to create a pre-training model in the simplest way possible. I’ll show you the principles that enable you to give AI precise instructions and verify its results.

Are you using code written by AI without even knowing what it does? It’s not enough for it to simply work—you need to make it perform well, yet when asked, “Why did you implement it this way?” you find yourself at a loss for words. The source of that frustration is a lack of fundamental CS knowledge and an understanding of how GPUs work. Through this course, you will learn the principles applied to CPUs and GPUs, along with the relevant CS knowledge, enabling you to control AI and give it instructions effectively. You will also be able to avoid being replaced by AI at your current company or when seeking employment or changing jobs, and earn a higher salary.

This is our 'real-world workflow', and we are sharing an 'onboarding video' for planners and developers joining our company. It explains how to design service screens without a designer, create a screen UX flow even without knowing Figma, and build a prototype. When planning services, our company rapidly creates prototypes to enable quick decision-making and finalize the necessary features, then makes them ready for use in frontend development, allowing us to maximize productivity. If the response is positive, we will upload other courses on our "real-world workflow.&quot