Inflearn - Lifetime Career Platform

Kotlin Programming Language, which you can learn by practicing with 76 examples. You have to develop in Kotlin starting tomorrow, but you don't have time to study the grammar? Let's quickly learn all the grammar of Kotlin with the examples provided in this lecture.

A friendly course that even those who know nothing about coding can follow! The ultimate course that turns working developers into JavaScript experts!

This course is designed to cover the grammar of multi-threading, multi-processing, parallelism, and concurrency based on OS knowledge in preparation for technical interviews. You will learn basic knowledge about how to increase execution efficiency with multiple resources.

An era where anyone can create games with AI. Learn the efficient framework and core systems for incorporating AI-generated code. Quickly complete your game on top of already-finished, stable systems. The secrets of AAA game developers are revealed.

This is a course where you will learn all the technologies for online games by following the development of the <Casual Mobile MMORPG> M2 from start to finish.

This is a course that covers the entire process of working with the Unreal Engine based on C++, in a shallow and quick way.

This lecture covers how to properly implement a linked list-based linear data structure using C language. You can understand the structure of the DB as well as the linked list at once.

This is a course for PMs who want to utilize data. It covers the entire process of using data in a PM role, capturing the full workflow from your first day at a new job to the beginning and end of a project. It is an introductory data course designed to build your thinking power, covering everything from data-driven and logical thinking to metric definition, log design, experiment design, and building a data culture. Although it was created for PMs, the content is also highly beneficial for data analysts (in fact, many analysts have already taken this course). Additionally, many professionals in marketing, design, and business planning roles are also taking the course.

From TCP/IP to HTTP! This course is prepared for those who lack basic network theory but hope to understand major-level concepts, even if it means "memorizing" them. You can do it!

You can understand and perfect the basics of DB data access technology required for backend development. You can understand the principles and structure of Spring DB access technology and grow into a more in-depth backend developer.

Master JavaScript and React all at once with this course, covering everything from the fundamentals to unique projects. Learn briefly, apply extensively—an 18-hour All-in-one course!

The era of 60 million won starting salary for game programmers! For those who are confused about what to study and how to study, We have prepared a vivid story about the game industry and the hiring process.

You can understand and master all the web technologies required to develop web applications from the basics. You can understand the core principles and structure of Spring MVC and grow into a more in-depth backend developer.

Learn the basic C++ syntax for smooth learning of the series. We will cover essential content from assembly language to basic C++ syntax, STL, and C++11 in a compressed manner.

Spring beginners can grasp core principles and solidify basics via examples.

Develop APIs using Spring Boot and JPA. And learn how to optimize JPA's extreme performance.

Understand and learn about the Automotive International Standard Process Model ASPICE.

Inflearn cumulative students over 30,000, Datarian's SQL basics course with rich online/offline teaching experience. Learn SQL basic theory and solve 10 SQL problems together.

We will create an ad-monetized website using React. You will learn how to optimize advertisements, reduce server costs, and gain site operation tips according to the scale of your project.

This is not an investment lecture. It covers data collection, analysis, and visualization using stock market data. You will work with various data formats and learn various text preprocessing techniques. It covers visualization techniques for time-series data, methods for representing scales, and several techniques for interpreting stock price data. This course is about learning how to gain insights through data analysis. It is designed so that the concepts learned through stock price data can be applied to collecting, analyzing, and visualizing other time-series data such as demand, inventory, sales, and traffic volume.