Getting Started with Spring Boot Kafka Producer/Consumer Practice

Have you wanted to implement RAG but felt overwhelmed by connecting everything from embeddings to vector storage and search? Based on real-world service development experience, this course explains the core concepts of pgvector and the service source code. By calling the API directly, you can quickly understand the entire flow of how RAG vector search works.

This course goes beyond explaining the concepts of Spring Batch and covers how to actually integrate Spring Batch into a service that is already running. Based on structures used in real-world practice, you will learn by directly implementing everything from Batch Job configuration and execution flow to data processing structures. Rather than simple examples, it provides step-by-step explanations based on professional architectures, covering Batch Job configuration, execution flow, and data processing structures. In particular, we focus on: How to connect Batch to an existing Spring Boot service and how to build a structure that can be operated stably. Through this course, you will: ✔ Be able to build Batch directly into existing services ✔ Be able to design large-scale data processing structures ✔ Reach a level where you can apply these skills immediately in the field 👉 This is not a "theory lecture" 👉 This is a practical course on integrating it into actual services

This course is for those who want to learn DDD but feel lost on "how to apply it to a real project." In this course, we will implement DDD design from start to finish by **building an actual ordering system** based on Spring Boot. The focus is not on simple theory, but on "structures and code that can be used immediately in practice." After taking this course, you will be able to: ✔ Design DDD-based projects on your own ✔ Implement professional-level structures yourself

This course is for those who want to learn DDD but feel lost on "how to apply it to a real project." In this course, we will implement DDD design from start to finish by **building an actual ordering system** based on Spring Boot. The focus is not on simple theory, but on "structures and code that can be used immediately in practice." After taking this course, you will be able to: ✔ Design DDD-based projects on your own ✔ Implement professional-level structures yourself

Reactor, one of the core technologies of Spring WebFlux-based reactive applications, and Reactor Operator, which can be said to be the most important part of Reactor, if you want to make it yours, take the `Kevin's Easy-to-Understand Spring Reactive WebApplications: Reactor Part 2` lecture.

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

Based on an understanding of Reflection and Annotations, it helps you clearly understand how the Spring framework operates!

It covers just two things properly: object-oriented programming and the JVM! Plus, it throws in linked-list-based linear data structures.

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.

Pass the Information Processing Engineer practical exam in one go! We pinpoint only the core code and theory for you. Master past exam questions perfectly! Open the door to passing with our systematic lectures. 🏆 2024 Inflearn Rookie Award 🏆 2025 Students' Pick Award

In an era where AI writes code for us, the value of a "true architect" who can see through and control the macroscopic framework of a system becomes overwhelmingly higher. This course digs into the essence of low-level networks and TCP/UDP sockets hidden behind frameworks, cultivating the ability to design robust core engines that never crash even in the face of millions of traffic hits and large-scale data. Go beyond being a coder who blindly repeats copy-pasting, and leap forward to become an irreplaceable master who directs and controls AI with clear, system-level solutions.

A practical course on easily building a super simple bulletin board with Spring Boot and React.js! This course focuses less on theory and more on hands-on practice, covering the web application development process for quick completion.

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.

We will completely resolve the anxiety of those who felt frustrated by blindly copying AI-generated code without understanding the internal workings of HTTP or the causes of unexpected hanging.

Understanding Spring Boot + React.js Login (+Social) Service is a course designed to help you deeply understand the authentication flow between frontend and backend, by directly implementing a practical login system that includes JWT-based authentication and social login (Kakao/Google). The frontend is built on React.js, and the backend on Spring Boot, enabling you to learn step by step the practices used in real service environments, such as the Access Token + Refresh Token approach, user state management using HttpOnly Cookie and Redux, Role-based authorization, and social login integration.

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

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.

Have you ever wondered "how" the many Java libraries and frameworks you use provide this functionality? In this course, learn how to manipulate various codes or objects provided by Java and take your Java skills to the next level.

Beyond the basics of API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you create 'your own backend architecture' so you can confidently discuss design experience in interviews.

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

From the core concepts and infrastructure setup of Kafka, Hadoop, Spark, and Airflow to hands-on practice with Java and Python, as well as building production-level pipelines in an AWS environment.

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.

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