Connecting a Java Spring Boot project with a Python AI project

This course will cover everything you need to know about Spring Boot for practical use.

Learn how to implement integrated regular and social logins using Spring Boot and React. Build a login system in both MPA and SPA environments and practice JWT and OAuth2 authentication. Understand and implement the entire login flow through example projects applicable directly to real-world scenarios.

This lecture is an extension of the "Spring Boot Concepts and Utilization" lecture and covers the Spring Boot updates that have been made over the past two years. Check out the new features and changes from Spring Boot 2.1 to 2.4 and update to the latest version of Spring Boot.

Build a fully functional smart farm platform that integrates sensor data collection, MQTT communication, web dashboards, and AI-driven environmental analysis. Experience the entire process of agricultural digital transformation (DX) through a hands-on project, covering everything from IoT sensor integration and FastAPI/Spring-based API servers to React/Vue dashboard development and cloud deployment.

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.

Learn how to utilize RabbitMQ to implement asynchronous architecture—the most fundamental method for processing large-scale data—through a tutorial format designed for easy understanding from basics to advanced applications based on Spring Boot 3.3. Learning materials (Notion links and Git Branch URLs) are provided for each lecture chapter. Please be sure to check the class notes.

Learn how to build a real-time fire detection system using Next.js, YOLOv11, and FastAPI.

This course is a practical-focused learning program for JWT-based token authentication and security enhancement techniques that are essential in modern web service environments. Using Spring Boot 3, Spring Security 6, and React, you'll implement secure login systems and cover comprehensive security practices including XSS·CSRF countermeasures, HTTPS implementation, token reissuance and revocation strategies, and secure secret key management. Additionally, you'll practice real service-level environment configuration through AWS build·deployment and performance optimization using Redis, and the complete project source code provided in the course can be directly applied to real-world work.

Starting with the question, "If I were on the Titanic, would I have survived?", this course completes a full-stack project where you develop an AI model to predict survival probabilities based on real data and deploy it as a web service. You will gain hands-on experience in the entire process of AI and web development, from deep learning modeling using PyTorch to building a backend server with FastAPI and implementing a user interface with Next.js.

Pre-Trained Model (VGG16) / CAM / Grad-CAM / YOLO / STYLE TRANSFER / PIX2PIX / CYCLEGAN Implementing Stable Diffusion Directly

In this course, we will practice step-by-step how to use React and FastAPI to implement social features such as real-time voting, comments, and likes, as well as how to monetize by integrating payment systems (Kakao Pay, Toss Pay, etc.).

Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.

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.

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

No more object detection! Learn the latest trends in pose estimation, the latest methods for estimating poses from images and videos, and learn deep learning techniques to train and utilize 2D pose estimation models from your own videos.

Using generative AI tools such as ChatGPT and Claude, you will turn ideas into actual web services and experience the entire development and operations process in a single project—from Docker containerization and server deployment to domain connection, HTTPS implementation, and CI/CD setup. Rather than simply generating code, you will develop practical skills by completing and maintaining a service that real users can access.

Building a TodoList with Claude + IntelliJ - Complete MCP Mastery Master the workings of MCP by creating a TodoList with Claude and IntelliJ!

Stop worrying about the dev team - I'll build it myself now! This course helps professionals in planning, marketing, sales, and other practical roles implement core web service features on their own using AI tools, without needing developer assistance.

Learn Springboot + iOS RestAPI Board Creation Faster Than Anyone Develop a CRUD server with Springboot and create your own board with iOS!!