Master Spring Boot 4: From New Features to 3.x Migration

[Newbies to Web Development Only] Let's Build a Spring Boot REST API Step-by-Step, the Easy Way

Beginners to Spring can quickly learn the entire Spring web application development process by creating examples.

Traditional React development and Next.js development are completely different approaches. This course penetrates the core of the latest Next.js 16 and teaches you the 'real' Next.js way of development. Experience how to achieve both performance and efficiency, from job portfolio projects to real-world projects. Let's develop the Next.js way! The course is structured to help you learn by doing, creating actual examples to understand how to apply Next.js features. You'll learn faster through actual code rather than theory, focusing on Server Components and covering Server Actions and caching strategies. Since the goal of the course is to catch up with the Next.js vibe as quickly as possible, the lectures are conducted using JavaScript. However, each lecture's examples are additionally provided as course materials created in TypeScript. December 18, 2025 - Updated to Next.js 16

Learn the SAGA transaction management technique for maintaining data consistency in distributed environments through a hands-on approach. You will configure three microservices using Spring Boot and Docker, and implement both Orchestration and Choreography patterns using Kafka and MySQL. Through this course, you will master core concepts applicable to real-world scenarios, including the operational principles of distributed transactions, designing compensating transactions, and handling fault recovery.

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 solo IT startup founder and solo entrepreneur's experience distilled into an honest, straightforward, intuitive, and deep React + Spring Boot course (Docker, AWS, GitHub Actions) I just unified everything into this one course.

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.

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.

Completing an integration project between an API server built with Spring Boot (ver 3.4.x) and React 19 (with TypeScript)! Applying front-end to a back-end portfolio! A course written for working professionals (not a beginner-level course).

Why do requests wait when queries are fast? Locks. In a hands-on project using MySQL 8.0, Spring Boot, and JPA, reproduce record and gap locks, four types of deadlocks, long transactions and connection pool exhaustion, metadata locks during deployment, and lost updates with tests. Then fix them in code and verify the fixes with the same tests.

I have created an 'Introduction to Elasticsearch' course that is easy for non-majors to understand and can be applied immediately in practice!

In this lecture, you will learn how to use OpenTracing to perform distributed tracing across various applications.

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!

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

Building your own emotional diary service with Spring AI + React It's time for our 4th project with Neo + Essential!

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.

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

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.

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

If you’ve implemented AI features with Spring AI, it’s time to think about how to observe how AI behaves and control its costs, quality, risks, and workflows. Simply calling an LLM, connecting RAG, and receiving structured responses isn’t enough to make an AI application reliable. In a real application, you also need to consider how each request was handled, how much context you’re providing to the model, how much you can trust the generated results, and how to limit risky recommendations. In this course, we use a Spring AI–based Incident Responder application as a consistent example. Starting from a baseline that works but isn’t yet sufficiently controlled, we observe actual execution results, identify problems, add control points to the code, and compare the results before and after the improvements. Along the way, you’ll learn more than just how to use another AI feature. You’ll develop a design perspective on how to observe, constrain, and validate probabilistic AI within Java/Spring applications.