Equipping Developer Fundamentals - Essential Concepts and Core Theories for Programming Development

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.

Many backend developers use Redis, but in reality, they often use it merely as a simple cache server. There are many cases where developers know the Redis data types but don't know how to apply them in practice, lack experience implementing real-world patterns like distributed locks or rate limiting, or fail to understand Redis from a backend architecture perspective. I also had the experience of pondering how to utilize Redis in a high-traffic environment while developing actual services. This is because knowing simple commands is entirely different from solving service problems with Redis. This course starts with the basic concepts and data structures of Redis and progresses through learning by implementing core patterns used in actual backend services step-by-step. In particular, you will learn how to solve the following practical problems using Redis: Caching (Cache-Aside) strategies to reduce server load, Distributed Sessions (Session Store) to share login states, Distributed Locks to solve concurrency issues, Rate Limiting to prevent API overload, and Real-time Ranking Systems (Leaderboards) for large-scale users. All hands-on exercises are conducted in a real API server environment based on Python FastAPI. Rather than just learning simple CLI commands, you will understand how Redis is used in backend systems by implementing it yourself. Through this course, you will be able to utilize Redis not just as a simple cache, but as a core tool for designing backend architecture.

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.

Have you ever had a hard time because you didn't understand IT infrastructure (server, network, storage, etc.) technology? Do you want to understand how IT infrastructure is structured and what technologies are applied? This is the only lecture in Korea that explains the various technologies that make up IT infrastructure!

Because you never know when or how software will grow, you always need to be prepared to continue growing. This provides one direction for that.

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.

This course explores microservice architecture and distributed environments not as a simple list of technologies, but from a 'design perspective' required in actual work and interviews. Starting from the differences between monolithic and MSA, it progressively covers incremental migration strategies, modular monoliths, clean architecture and hexagonal architecture, clearly explaining why each choice is necessary and the trade-offs involved. Through hands-on practice, you can directly verify the intent of the structure and learn about core issues inevitably encountered in distributed environments—such as data consistency, transactions, inter-service communication, and failure handling—through realistic scenarios. Based on actual questions and perspectives from Kakao interviewers, this course aims to go beyond simple knowledge acquisition and elevate your way of thinking about distributed systems to the next level.

I have summarized the steps required to get a job as a front-end developer into 7 codes. I didn't have a senior developer, so I was vague when I was looking for a job, but don't worry anymore. 😀

In the cloud field, we deliver the overall background of Microservice Architecture (MSA), a hot keyword, along with various architecture patterns, application types, and legacy conversion methods through real-world insights.

You will systematically learn database design through three stages—conceptual, logical, and physical—and strengthen your skills through a practical shopping mall project. Gain real-world know-how through modern design techniques and the latest trends.

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.

This lecture comprehensively organizes the content that would be good for those who want to get a job as a new Spring Java backend developer, especially those who are about to have an interview.

This lecture is expected to help students build a foundation in computer architecture.

Through this course, students can learn the overall flow of IT.

Here are some tips for interviewing developers that you won't find on the internet. This is the essence of preparing for the web development hiring process.

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!

This course goes beyond just using Express.js—you'll implement its internal engine from scratch to truly understand how real servers work. You'll gain hands-on experience growing as a server developer by building all of Express's components from the ground up, including routers, middleware, request-response objects, static file handling, and template rendering.

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or a computer scientist. This course replicates an actual full-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Furthermore, through this course, non-computer science majors or those with a background in the humanities can develop the ability to communicate easily with professional programmers. Even in an age where learning prompts for "AI vibe coding" is necessary, computational thinking will help you develop the ability to instruct AI more accurately and effectively.

This lecture explains the principles of computer architecture, which is the knowledge underlying programming, for non-majors. The goal of the lecture is to become familiar with the principles of program operation.

We explain the core concepts of computer architecture and operating principles that SW developers need to know, using easy-to-understand illustrations.

You can learn the basics of AWS and Terraform usage simultaneously. You can become familiar with them through hands-on practice.

Based on learning fundamental concepts of programming and Python, we solve mathematical problems using Python. (Solutions and roots of equations, drawing graphs)

You can learn about the basic structure and operating principles of computer hardware, design methods, and OS, and acquire the knowledge necessary to create good programs.