UbuCon Korea 2023 Watch Again Early Access

Learn essential Linux knowledge that every developer should know, even if they're not a DevOps or Linux expert. The class will be hands-on and practice-oriented.

Through this course, you will gain experience deploying front-end and back-end projects. You will also gain basic knowledge about Linux and networks while deploying projects!

If you study the main concepts of Linux, you can handle Linux more easily and more powerfully. I hope you build a solid foundation from the beginning!! :D

This course is Part 3 of the Full Stack lecture series, designed to help you solidly master the latest server technologies and Docker. The course is structured to enable you to practically incorporate Docker into your tech stack by meticulously testing Docker's various options, learning related technologies such as Linux that are necessary for understanding Docker, and building actual complex services.

Creating an application on Linux (Ubuntu OS). (Cross-platform application development)

The ultimate goal of this course is to go beyond programming using IPC tools and to "develop the ability to appropriately select and design/implement IPC tools that fit software requirements."

We will create a remote development environment using VS Code and extensions, and learn about WSL and code-server, a VS Code used on the web.

This course covers how to use Linux. The part that beginners find particularly difficult is how to control the computer using commands. This course covers the most common rules that beginners need to use commands.

I've created a 'Linux Introduction' course that even non-majors can easily understand and apply immediately in real-world situations!

In this course, you will learn how to have a free Linux server worth 20,000 won per month, how to use it, and how to utilize it.

Build a local LLM with RAG-based Q&A system in just 2 hours of hands-on practice using Docker + ollama + R2R framework. (Suitable for in-house/internal Q&A systems, personal portfolios, AI-powered work capabilities, and even commercial services)

This is a 'Practical Linux Troubleshooting Course' where you analyze and solve problems together with generative AI, based on a Docker practice environment that reproduces 5 representative failures that occur in actual Linux operating environments. Even those who were overwhelmed about where to start examining problems can learn the problem-solving approach and thought process of field engineers through AI guidance.