Our Team’s Developer Portal Built with Backstage: From Getting Started to Deployment

A portfolio-focused course on deploying a React frontend and Spring Boot backend directly to the AWS cloud! This course is helpful for those who want to quickly deploy frontend and backend projects for their portfolio. You will gain the necessary knowledge for deployment through short-term, step-by-step practice, covering everything from server configuration to Docker, domain connection, Nginx, and HTTPS application!

You will understand the Git commands used in practice and be able to use them in a CLI environment.

Learn from the beginning how to set up a development environment that even an ordinary office worker can easily understand. It is practice-oriented and focuses on students learning various development tools such as Vim, VS Code, Git, Docker, and remote development. You can learn how to build an efficient development environment by learning step-by-step from the basic usage of each development tool to advanced functions.

This is a course where you learn essential TypeScript concepts while writing React and Vue code that are widely used in practice. A course for both professionals and beginners that covers everything from how to add types to React and Vue to how to use ChatGPT!

This course is designed to help you quickly learn server deployment methods using Nginx, Docker, and Spring Boot through hands-on practice. Learn Blue-Green deployment, a frequently used technique in the industry, faster than anyone else!

If you’ve ever found yourself lost among files named “Final,” “Final2,” and “ReallyFinal,” this is the Git course for you. Starting with your first commit and covering branches and merges, remote repositories and team reviews, and what to keep or roll back when you make a mistake, we’ll go through everything step by step using real terminal screens.

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

3D Globe Article Service with ThreeJS and SpringAI | Neo + Essential Create your own 3D globe article service using your personal chatbot and ThreeJS!

Understand the basic knowledge required to build a virtual environment, create a virtual environment suitable for your environment using tools called Vagrant + VirtualBox, and build a Docker and Kubernetes Cluster. You can also introduce and practice virtualization SW suitable for macOS environments using Apple silicon chips.

In this course, you will be able to create a Reddit website from scratch, step by step.

Just because my function appears in the AI app’s tool list, does that mean it really ran? I’ll build a small issue-query server with the official TypeScript SDK and verify each step through actual execution logs—from input and result contracts to HTTP connectivity, OAuth permission checks, reducing dangerous inputs, testing, and restarting.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

This is not just a lecture for memorizing commands. It is a practical introductory course designed to help you intuitively understand the "flow" of technology—why containers emerged and the principles behind how Docker creates and runs images. Even those new to Docker will be able to explain for themselves "why containers are a necessary technology" after taking this course.

From theory to practice. You can learn the entire web development process by deploying your self-developed website to the cloud.

Instead of long and boring theories, you can learn them one by one through short practical exercises, and as you flesh them out one by one, you will soon be able to experience the overall architecture composition.

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

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.

You can quickly experience the process of deploying a sample e-commerce service to AWS and continuously improving it into a robust and efficient environment.

Drawing from my own experience of feeling despondent when trying to implement practical code during my first MSA transition—despite knowing the theory—I will help you grow into a developer who guarantees perfect data consistency amidst any system failure by directly rolling back daunting compensation logic through 9-step practical patterns and AI Agent coding.

Through this lecture, you will learn how to identify the overall types of front-end tests and how to write reliable tests by selecting the appropriate test for the situation.