Mastering Spring Web MVC

This revised course was created using the latest version of Spring Security 6.x. From beginner to intermediate to advanced levels, you will learn the basic concepts of Spring Security, as well as how to use the API and its internal architecture. Based on this, you will complete a practical project and acquire core technologies related to Spring Security's authentication and authorization.

From beginner to intermediate to advanced, we cover the basic concepts of Spring Batch, API usage, and internal architecture in depth. In addition, you will learn the flow and principles of each Spring Batch function, and based on this, you will acquire practical sense for developing various batch applications.

Learn the basic concepts of Spring Security OAuth2, API usage, and internal architecture. In addition, you will learn how to integrate and link OAuth2 Client, OAuth2 Resource Server, and Authorization Server, build your own authorization server, and implement OAuth2 services through it.

You will learn Java's concurrency mechanisms and multithreading techniques in depth and acquire the knowledge and skills necessary to solve various parallel processing problems that you may encounter in practice. Starting from basic thread management, you will learn advanced synchronization techniques, how to use thread pools, and Java's concurrency-related classes in depth.

This course covers Spring Web MVC, a Java Servlet-based MVC framework. For a more efficient learning experience, please take the Spring Framework Core Technologies course.

Develop and deploy servers using Java, Spring Boot, JPA, MySQL, and AWS. While developing web applications, you will learn all the background knowledge, theories, and various technologies required for server development, as well as the meaning of various options, the history of Spring Boot, and the changes in the latest version.

This course is a process of learning the basic theories of data structures by directly implementing them using JAVA programming. It is designed to go beyond simply learning theory, allowing you to gain a deeper understanding of the principles of data structures by implementing them with actual code. Learners will theoretically study core data structure concepts such as arrays, stacks, queues, lists, trees, and graphs, while simultaneously experiencing the actual operation process by implementing them in JAVA code. Through this, you can develop logical thinking and problem-solving skills rather than simple rote learning, and enjoy the synergistic effect of mastering both 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 real-world development environments, building a foundation for designing more efficient and robust programs.

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This course is for job seekers and career-changing backend developers preparing for coding tests with JAVA. We clearly identify question types by analyzing 195 actual past exam questions.

At some point in backend development, you start to have these concerns. It's that moment when services expand and traffic increases, and you begin to feel the limitations of simple REST communication and CRUD structures. I experienced these same issues in the field and went through much trial and error balancing performance and structural complexity. The solution I chose during that process was NATS. Its simple configuration based on a single binary, ultra-low latency performance in microseconds, and the fact that it provides essential features—from Pub/Sub to Queue Groups and JetStream—without being overkill made it a very practical choice for real-world service environments. This course is not just a list of NATS features. Based on the problems I faced in practice, I explain through code and workflows why I chose NATS in certain situations and how I designed the architecture. This course is designed to help everyone—from those new to messaging systems to backend developers preparing for employment and senior developers considering better architectures—understand distributed systems and grow to the next level.

This covers the major updates from Java 9 to Java 21 in detail. It will be continuously updated as new versions are released up to Java 31.

This is an introductory Java course. It's easy.

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.

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

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.

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.

Experience the power of Type Safe SQL with jOOQ!

In this course, rather than directly covering theory, you will learn how to effectively use Redis in code through hands-on practice.

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

Copilot used by working developers in the industry! From Copilot tips to unit testing and API integration testing, do it all with Vibe Coding! Leap forward as a 10x faster director with real-world industry know-how.

"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 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.

Channel Talk interviewers will directly analyze the difference between failing and passing answers to the same question and help you prepare for actual follow-up questions.

I'd like to show you how to develop a course evaluation website that can be applied anywhere, whether it's high school or college.