Java Microservices (MSA) Project Practice

Through this course, you can learn how to run Java applications more efficiently and effectively solve performance issues that may arise.

"The Era of Coding with AI: A New Productivity Paradigm for Java Developers" This course is a practical Cursor AI utilization guide for Java developers. Beyond simply copying AI-generated code, you'll learn Vibe Coding methods that maximize development efficiency through collaboration with AI. By leveraging Cursor's powerful code understanding, refactoring, and documentation features, you'll master AI coding workflows step by step that can be immediately applied to real-world projects. In an era where AI writes code for us, "developers who can effectively work with AI" now have the competitive edge. Start your upgraded development experience as a Java developer with this course.

The "Beginner Java Developer Project Basic Terminology Guide" course is an introductory guide that helps development beginners and new Java developers easily understand essential IT terminology frequently encountered in the workplace and apply it directly to projects.

You can improve your Java programming skills by working on your own projects using various Java APIs and Open APIs.

What if you need to study Spring Legacy projects? What if you want to create XML configurations one by one? What if you need to apply Spring Security to a Spring project?

Learning about various communication techniques and understanding their differences helps you develop the ability to select and implement the most appropriate communication method.

Secrets to Escaping Beginner Status Revealed! We'll properly teach you about Java multithreaded programming and synchronization techniques!

The features added to Java 8 are widely used in APIs provided by Java as well as third-party libraries and frameworks such as Spring. If you are a Java developer in this era, you must know them. Make them your own technology easily and quickly through this lecture.

From Docker, Kubernetes to microservices, CI/CD, and service mesh, you can easily learn not only the basic theory but also the actual application implementation through examples. By organizing only the core contents necessary for actual use, it provides a starting point for learning about the element technologies covered in the lecture.

This course is a learning process that involves studying the fundamental theories of data structures by directly implementing them through JAVA programming. Rather than simply learning theory, it is structured to enable a deeper understanding of data structure principles by implementing them with actual code. Learners will theoretically learn core data structure concepts such as arrays, stacks, queues, lists, trees, and graphs, while simultaneously implementing them in JAVA code to experience their actual operation processes. Through this approach, rather than rote memorization, learners can develop logical thinking skills and problem-solving abilities, enjoying the synergistic effect of learning programming and data structures together. 👉 Upon completing this course, learners will master the basic concepts and structural characteristics of data structures, as well as the ability to implement and apply them in actual development environments, establishing a foundation for designing more efficient and robust programs.

Explaining how to connect to a Python-based AI web server using FastAPI from a Spring Boot project.

Handling media (video, audio) on the web is now easier than ever! Learn the MediaStream API and WebRTC by following along step by step.

Experience the power of Type Safe SQL with jOOQ!

I've created an 'Introduction to Elasticsearch' course that even non-majors can easily understand and apply directly in real-world situations!

An AI system that grades and reviews your code in 5 seconds - imagination becomes reality. This course is an all-in-one project that builds a **'GitHub PR Automatic Analysis and Grading Bot'** using Spring AI. When a student submits an assignment (Pull Request), the server detects it and AI analyzes the code changes (Diff). The grading results are then stored in the database, feedback is automatically posted as GitHub comments, and students can check their results on a dedicated dashboard. From backend to AI integration and frontend (Vaadin) - all with Java! This is the ultimate introductory guide for all developers who want to complete their own AI service from A to Z.

Learn the basic grammar and object-oriented programming of Java.

This is a full-stack restaurant map tutorial that allows you to learn everything from front-end, back-end, Kakao Map API usage, and deployment all at once while creating a restaurant map of your favorite YouTuber.

Learn the process of converting an existing legacy monolithic system to a microservice architecture through hands-on training. You will also receive code reviews from knowledge sharers up to two times!

Practice REST API and GraphQL while creating a simple SNS service based on React. We introduce how to easily and simply create a backend environment for frontend development.

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.

Spring AI + JPA + MySQL Premium Reservation Agent Backend Development with 'Autonomous Behavior' Beyond Chatbots to Agents: The Definitive Guide to Tool Calling and Prompt Engineering

This course is a practical program where you will master Kotlin-based AI agent development by building your own coding agents. Using Koog, an AI framework built with Kotlin, you will learn step-by-step how to implement coding agents similar to Claude Code, Cursor, and Junie. Koog is more than just a simple server-side framework; it integrates seamlessly with Spring and offers the scalability to connect with various environments—including Android, iOS, Desktop, and Web—through Kotlin Multiplatform (KMP). By building intelligent agents that can read, analyze, modify, and generate code, you will gain hands-on experience in AI agent architecture, strategy, context handling, and tool integration.

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.