Complete Guide to Prompt Engineering
This course systematically teaches prompt engineering, a core technology for effectively utilizing Large Language Models (LLMs) and generative artificial intelligence. It comprehensively covers everything from foundational theory to practical techniques, as well as the latest application cases and security/ethical issues, providing practical help to LLM-based service developers, data scientists, and AI planners alike.
33 learners are taking this course
Level Intermediate
Course period Unlimited
I have opened a structural code reading training center.
Hello.
The era of AI writing code has arrived.
However, the task of verifying the code written by AI and directing the path for improvement remains the responsibility of humans.
Furthermore, it has become necessary to know how to utilize AI more extensively in both vertical and horizontal directions.
The horizontal direction refers to a direction that encompasses everything from planning to deployment, and
The vertical direction refers to a direction that can encompass various languages, various frameworks, and various methodologies.
Therefore, a developer with a broad spectrum (that is, a complete spectrum in both vertical and horizontal directions)
will be needed.
However, the education system has not yet been able to keep up with this.
That is why I have opened the "Structural Code Reading Bootcamp" using Claude Code.
At https://code-reading-bootcamp.vercel.app/, you can develop the ability to read code written by both AI and humans, and
You will be able to develop the ability to guide AI on how to improve code.
It includes gamification elements, so you can have fun while tracking your skill improvements.
It is free to use anytime without the need to log in.
Although there are some shortcomings and parts where the questions have not yet been filled in,
I introduce this with the hope that it will be helpful to you.
I would appreciate it if you could use it lightly.
February 10, 2026, Sincerely, Jinsu Park (Arigaram).