Complete One Full Cycle of Backend Service with Spring Boot and AWS

I will show you through live coding how to create a rest API with spring boot in just one hour for developers who know nothing about spring or spring boot.

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!

Spring Web Programming learned while creating a calendar (schedule management)! Completely master Spring with examples you can use right away, not just short snippets~

This course covers how to actually publish the websites I've created to the world. From basic hosting using Dothome to hosting on git and cloud deployment through AWS, it's structured so you can easily follow along while experiencing hosting step by step. Rather than just stopping at writing code, you can build confidence as a web developer through various hosting experiences and actually operate real services.

Even if AI quickly generates an SQL draft, people must judge the table structure, relationships, performance, and data consistency. Using MySQL and DBeaver, you will gain hands-on experience with everything from tables, columns, data types, PKs, and FKs to DDL, database modeling, SQL fundamentals, indexes and EXPLAIN, and transactions, learning the standards for reading and validating AI-generated results.

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.

With the price of a chicken combo, you'll learn the deployment process in order: Spring Boot manual deployment -> Docker deployment -> Github Action CI/CD!

Developing an 'Autonomous' Premium Reservation Agent Backend Using Spring AI + JPA + MySQL Beyond Chatbots to Agents: The Standard of Tool Calling and Prompt Engineering

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.

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.).

Building an 'Intelligent Collaboration' Expert Agent Team Using Spring AI Router Pattern + RAG + MCP Beyond a Single Agent to Architecture: The Standard for Router Patterns and Agent Isolation Design

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.

I have created a course titled 'Introduction to MySQL Performance Optimization & Practice (SQL Tuning Edition)' that is easy for non-majors to understand and can be applied immediately in practice!

I have created an introductory AWS course that is easy to understand even for non-majors and can be applied immediately in practice!

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.

This course goes beyond basic CRUD-level database usage, helping you develop the PostgreSQL skills needed in the AI era from a practical, real-world perspective. Drawing on AI development experience in Silicon Valley, you’ll gradually learn how to design and use JSON, indexes, transactions, and pgvector in actual services, while gaining the skills to solve complex data structure and performance problems.

The most definitive practical guide for developers who want to integrate AI into their Spring projects right away! Beyond simple LLM API calls, you will perfectly master building production-level AI environments that can be immediately applied to real business logic using RAG and MCP.

We will learn about cases where companies such as Line, Google, Carrot, and Kakao actually improved MySQL performance. Let's go beyond simple performance optimization guides and understand the internal workings of MySQL and learn how to use it efficiently.

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

You can quickly experience the process of deploying a sample e-commerce service to AWS and continuously improving it into a robust and efficient environment.