Spring Boot with Kotlin

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.

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

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.

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.

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.

Let's improve performance by utilizing the basic technology stack! After the improvement, we will check the changes through load testing and monitoring tools! We will also prepare for interviews on each topic!

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

It covers the entire cycle, starting from what logs to record to how to collect and utilize them.

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 teach Spring Boot 3, which is the most widely used in back-end development, in a completely easy way. We create a bulletin board that is essential and most widely used in back-end development in a follow-up manner. We study with the popular book 'Jump to Spring Boot 3'.

Did you give up while studying Spring? Even complete beginners new to coding and non-majors can make it from JSP to Spring Boot without giving up - we'll open the path to Spring Boot for you.

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.

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.

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!

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.