Spring Boot with Kotlin

React is the most popular modern front-end framework, but it is difficult to learn. To solve this problem, Hook was introduced. This lecture will help you learn React easily using Hook.

There are so many benefits to developing Spring Boot with Kotlin. I think it would be good to learn about them through this lecture.

Flask is widely used as a Python backend framework. Flask_SQLAlchemy is a database orm used in Flask. If you know Flask_SQLAlchemy, you can do web development with concise code.

This is a SQL lecture designed to help marketers learn SQL easily. We introduce the essential SQL grammar and analyze real data obtained from Kaggle.

This lecture introduces and solves the Qualification Round 1st problem of Google Codejam, a Google algorithm competition.

Tensorflow uses a complex graph structure even for simple arithmetic. Why? Because Tensorflow needs derivatives when performing Gradient Descent. Graph structure is a means to easily derive those derivatives. I've mathematically explained why.

CUDA is a GPU programming language. It is a language that was created by modifying C and C++, so anyone who is a C or C++ developer can easily approach it. However, you must understand the characteristics of GPU machines and CUDA programming. This course understands GPU machines and writes CUDA to execute matrix multiplication, which is the basic operation of deep learning. Through this course, you will be able to handle GPU programming skillfully.

This course explains reinforcement learning without math. You can learn the concepts easily and clearly. In addition, you can implement and run an actual tic-tac-toe game by coding RLkit, which is written in Python, the most accessible language.

This is a lecture for beginners in Kotlin functional programming. After learning the syntax related to functional programming, you will learn what side effects, pure functions, and referential transparency are, and how to pass functions back and forth and use them in practice.

Spring Boot development method using Kotlin taught by a professional developer!! Learn simple grammar and stable web application development method using Spring Boot.

You can try using jOOQ, a data access technology, and experience Spring development with Kotlin.

Learn what problems can arise when implementing a first-come, first-served event system and how to solve them.

Try out authorization management easily and simply through Spring Security and JWT practice.

This course is a systematic learning process for general login, social login, and JWT-based token authentication using Spring Boot 3, Spring Security 6, and React. It covers building OAuth2 social login and security-enhanced JWT authentication systems in both MPA and SPA environments, while addressing overall security practices such as XSS/CSRF countermeasures, HTTPS application, token reissue and revocation strategies, and secure secret key management. You will practice configuring production-level environments, including building and deploying via AWS and performance optimization using Redis. Through the completed project source code provided in the course, you can understand the entire login flow and apply it directly to real-world practical work.

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!

If you learned about grammar and component types in the ExtJS basic course, In the practical/application section, we will create a simple practice program along with server connection.

I highly recommend Spring AI to developers using Spring Boot and React, as well as those considering the introduction of AI systems in corporate environments. This course goes beyond a simple introduction to libraries; it helps you understand the core concepts and internal structure of Spring AI, and strengthens your practical implementation skills through various hands-on examples. The course is based on Spring AI version 1.1.x and provides continuous technical support and expansion strategies to ensure you can adapt to future version upgrades. Furthermore, we expand the practical value of Spring AI technology by utilizing MCP (Model Context Protocol) to achieve cross-domain context integration, AI linkage in distributed environments, and AI architecture design suitable for enterprise environments. With the goal of building AI systems that can actually be deployed in corporate settings, this will serve as a practical guide that balances theory and hands-on experience.

AI is no longer a choice, but a matter of survival. Shorten development tasks that used to take 3 days down to 30 minutes; leave repetitive tasks to AI and focus on solving more important problems. Through AI-native development methods that are practical rather than theoretical, we will show you the definitive way to be recognized as an "AI-savvy developer" at your company.

We develop a chat service using web socket/stomp and springboot. We also configure a simple screen using vue.js, which is a relatively easy framework. We also configure multi-server scalability design using redis pub/sub.

We will build a complete web application using React and Spring along with Kotlin Multiplatform. Through this process, you will understand Kotlin Multiplatform projects and gain experience in writing shared logic between client and server, Kotlin/JS-based React, and Kotlin/JVM-based Spring web programming!