Building a TodoList with Claude + IntelliJ - Complete Guide to MCP

This is a practical Claude application course for AI beginners and non-developers. You will directly create results that can be immediately applied to real-world tasks, such as PPTs, content, YouTube videos, and product detail pages using Claude. Learn how to maximize work productivity using AI without any coding.

Introduction to Figma: From Basics to Website Design | Learn Figma fundamentals and design systems Learn Figma, the world's most widely used collaboration tool

Get Started with Claude Code Faster Than Anyone Else | E-book Learn Claude Code quickly and start automating your work!

Faster than anyone else, Electron Todo List With TypeScript Create a React-based desktop service using Electron developed with TypeScript!

This course is designed to help you quickly learn server deployment methods using Nginx, Docker, and Spring Boot through hands-on practice. Learn Blue-Green deployment, a frequently used technique in the industry, faster than anyone else!

This is an introductory Kotlin course where you'll learn faster than anyone else. Learn the basic syntax and practical applications of Kotlin programming easily and quickly!

These days, it's become so famous that you can't afford not to know about it - Nano Banana? Gemini 3.0? In this course, you can learn to handle everything with the Gemini API.

This course is a hands-on experience in load testing a Spring Boot server using K6. You will experience the process of generating traffic to a simple CRUD-based server with K6 and visualizing the results using Grafana and InfluxDB!

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

Learn how to easily integrate the ChatGPT API using Spring AI and develop an AI server through prompt engineering!!

Learn Spring Boot Actuator faster than anyone else Learn about Spring Boot Actuator and monitoring

Understand the basics of the e-Government Standard Framework and the Korea Government Design System (KRDS), and proceed with the redesign of the Military Manpower Administration website using the Korea Government Design System (KRDS).

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

Developing an AI Safety Report Service with React + Spring AI The 5th Neo + Essential project lecture is about building a Safety Report system, an idea for improving government systems!

Mastering Python Algorithm Fundamentals Faster Than Anyone (Divide and Conquer, Binary Search) Learn Python fundamentals and dive into divide and conquer and binary search algorithms!

3D Globe Article Service with ThreeJS and SpringAI | Neo + Essential Create your own 3D globe article service using your personal chatbot and ThreeJS!

Learn step-by-step how to implement JWT (Json Web Token) based login functionality using Kotlin and Spring Boot. By directly applying JWT, you can quickly master the fundamentals of backend login implementation.

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

Learn the basics of Photoshop in just 1 hour

This course includes both server (Java+Springboot) and front-end (React, ReactNative, Flutter, Android, iOS) development. Experience building a full-stack bulletin board with this course.

AI agents, the latest trend in generative AI! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its capabilities!

Practical course to master Spring Boot 3 + PostgreSQL 17 + JPA + MyBatis + Spring Security all at once!

Learn the basics of backend and server development with Ktor, written in Kotlin.

LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.

We will show you how Java backend developers using IntelliJ can maximize their productivity with Claude Code. In particular, we help you perfectly resolve the vibe coding environment issues faced by those using Windows environments.

This is an introductory course for understanding the concept and application methods of Vision-Language Models (VLM), and practicing running the LLaVA model in an Ollama-based environment while integrating it with MCP (Model Context Protocol). This course covers the principles of multimodal models, quantization, service development, and integrated demo development, providing a balanced mix of theory and hands-on practice.

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.

This is a course that beginners can follow along with in a fun and easy way. Beyond simple chatbots, AI Agents that automate industry-specific business workflows. This course quickly covers the basic structure and core technologies of AI Agents (LangChain, LangGraph, RAG) in 1.5 hours, and is an introductory course where you build practical skills by directly creating mini agents that work with actual code. After completing the course, you'll understand the necessity of industry-specific data preprocessing and scalable design, and be prepared for advanced concepts covered in deeper courses.

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).

Developing an AI Safety Report Service with React + Spring AI The 5th Neo + Essential project lecture is about building a Safety Report system, an idea for improving government systems!

This course is about cloning Netflix UI with Flutter and Firebase! Start with Flutter, the fastest way to learn app development :)

From theory to practice. You can learn the entire web development process by deploying your self-developed website to the cloud.

In this 24-hour tutorial, you will learn how to build your own YouTube clone. We will cover advanced topics such as Next 15 and React 19 (including tRPC), prefetching in Server Components, utilizing Suspense in Client Components, video processing, background jobs, and AI features.

This course is a practical, hands-on course where you will build your own 'League of Legends Match History Search Site' using React.js and Node.js, utilizing the Riot Games API. Students will naturally learn through hands-on practice, following the project step-by-step, covering everything from basic API usage, integration of frontend (React.js) and backend (Node.js, Express.js), to match history data visualization, and implementing op.gg-style UI. Rather than focusing on complex theories, this course is code-centric, allowing you to quickly experience results by 'building it yourself' through hands-on practice.

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

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.

This is a comprehensive lecture on Kotlin grammar that can be learned in 1 hour.

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!

This is an advanced course focused on designing and implementing Multi-LLM architectures and orchestration-centered Agent systems (Main/Sub, Tool, Task Runtime, Agent Registry) by strategically combining GPT, Gemini, and LLaMA (local) based on Spring AI and Spring Boot. Moving beyond simple LLM calls, the curriculum covers the implementation of scalable, stable, and continuously improving AI systems. This involves applying Agentic Workflow Patterns (Chain, Parallel, Routing, Orchestrator–Workers, Evaluator–Optimizer) and Multi-Agent structures, separating execution layers like RAG and external APIs/DBs via Tool/ToolRegistry, and utilizing DAG engines, YAML declarative workflows, and Validated DSL (validation immediately after loading). Furthermore, the course includes Circuit Breakers, Reactive Streams, Redis monitoring, parallel processing, and iterative evaluation loops. It expands from Thymeleaf (SSR) exercises to decoupled Front-end/Back-end architectures using React and REST, while integrating tool and agent runtimes via MCP (Model Context Protocol) to build AI architecture design capabilities at a production-ready level. The ultimate goal is to evolve beyond being a simple AI user who merely integrates APIs and writes prompts, becoming a developer capable of designing AI systems—explaining and balancing Multi-LLM, agents, workflows, declarations, and validation within a single execution architecture.

"Mastering Model Context Protocol (MCP)" is a practice-oriented engineering course designed to help developers build secure, production-ready AI backends. Based on my experience helping thousands of students resolve confusion in LLM integration, Tool Calling, and backend architecture, I aimed to address the most common challenges through this course. "How can I build a reliable backend that an LLM can call securely?" "Should I choose SSE, stdio, or streamable-http?" "How can I scale MCP to a real-world application level using FastAPI, Auth0, and LangGraph?" "How should I structure MCP Tools, Resources, Prompts, and Context?" This course provides detailed, step-by-step guidance, from running a minimal MCP server to deploying a fully secured, Docker-based system. All lessons are practice-focused, centering on reducing complexity and providing clear, repeatable workflows for building modern AI systems. If you are tired of vague tutorials and want a clear, concrete, engineering-level understanding of MCP, this course was made for you.