This course guides you to accurately understand essential programming concepts and theories that are often neglected in the rush of implementation. By learning similar, contrasting, and related concepts together, you will master multiple ideas at once. After completing this course, you will become a developer with a solid conceptual foundation.

Python is a versatile language. You can create applications in various fields, from website development to work automation, data analysis, and artificial intelligence development. Just as foundation work is important for building a good structure, you need solid fundamentals to create good programs. This course will firmly establish Python's basic syntax and usage through theory and practice.

We'll teach you the true essence of object-oriented programming. Knowing terms and syntax like class, object, self, super(), and interface doesn't mean you understand object-oriented programming. Object-oriented programming is not simply a collection of syntax, but rather a philosophy on how to solve the problems of increasingly complex software. You can only use it properly when you understand the history and philosophy behind it. In this course, we first explain what problems object-oriented programming was created to solve, and what kind of thinking and design philosophy it embodies, independent of any specific language. Then, using Python as a tool, we gradually cover through hands-on practice how object-oriented concepts are designed and implemented in actual code. Through this course, you'll gain not object-oriented programming that merely follows syntax, but object-oriented programming that you can think through and design, and object-oriented thinking skills that remain solid even when the language changes.

Learn about Race Condition, a representative concurrency problem. Practice by comparing single server environments and distributed environments that cause concurrency issues. Understand transaction boundaries and isolation levels. Learn the differences between optimistic locking, pessimistic locking, and distributed locking.

This is a Redis course that you can learn and use right away!

Through the implementation of a first-come, first-served coupon system, you will solve key real-world backend challenges such as concurrency issues, data consistency, and handling peak traffic. By writing the code yourself, you will identify problems and master essential practical skills, including synchronous/asynchronous processing and queue management. This project-based course is designed to help junior developers and job seekers gain hands-on experience.

Build a solid foundation for your first start with Redis A to Z! Everything about Redis, explained so easily and fun that even a high school student can understand it perfectly.

Beyond the basics of API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you create 'your own backend architecture' so you can confidently discuss design experience in interviews.

This lecture will teach you how to systematically analyze and organize the core functions and conditions of software, and explain the theoretical background of its relationship with testing for finding and improving bugs based on this.

This is a Redis course created with a current Kakao interviewer. It covers everything from data structure practice (String to Sorted Set) to Sentinel and Cluster configurations, helping you build design rationales that work in both interviews and real-world practice.

This is a text-based course that conducts mock interviews based on your résumé.

I have created a course titled 'Introduction to Redis/Practical Application (Query Performance Optimization Edition)' that is easy for non-majors to understand and can be applied immediately in practice!

Are you feeling anxious because you've only been following along and copying code? We’ve packed this with the core principles of how the web works and the criteria for choosing technologies, without just focusing on implementation. From foundational concepts to React 19 and Vite 7, we will help you draw the big picture for frontend development in 2026!

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.

In an era where AI writes code for you, will you remain a 'Coder' or leap forward to become an 'Architect'? This course is designed for junior developers who can handle basic implementation but feel stuck about the next steps or are anxious about falling into the trap of 'fake experience'. We aim to go beyond simply learning clean architecture theory and turn Robert C. Martin's (Uncle Bob) high-level design principles into weapons for the AI era.

This course is structured to help you learn Redis's basic commands using Lettuce, one of Java's official libraries, and to understand how to handle Redis at a low level.

A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.

This course guides you to accurately understand essential programming concepts and theories that are often neglected in the rush of implementation. By learning similar, contrasting, and related concepts together, you will master multiple ideas at once. After completing this course, you will become a developer with a solid conceptual foundation.

It explains almost everything surrounding the cloud in an easy-to-understand manner. If you listen to it before the actual practice, you will be able to understand development or infrastructure cloud well.

How does the architecture change when an LLM is integrated into an existing backend? This is an introductory system design course that goes beyond simple LLM API calls to help you understand core AI service components such as Model Routers, LLM Gateways, and Vector DBs, and step-by-step design an operational AI service architecture including RAG and AI Agents. It is designed to help those who want to create their own LLM-based AI services quickly master the design workflow.