Mastering Python Algorithm Fundamentals Faster Than Anyone

This is a full-stack hands-on course where you will implement a ChatGPT clone from scratch. From Spring Boot server to React frontend | Neo + Essential This is not just a course where you simply follow along with the code; it guides you through actual service deployment so you can build a high-quality AI chatbot service.

Building a Springboot Monitoring System (Prometheus + Grafana) | Teaching how to set up and utilize Building a Springboot Monitoring System (Prometheus + Grafana) from setup to application.

Learn Claude Code Faster Than Anyone | Developer Edition Learn the trending Claude Code quickly (installation, usage, skills, sub-agents) and create your own project!

Building a TodoList with Claude + IntelliJ - Complete MCP Mastery Master the workings of MCP by creating a TodoList with Claude and IntelliJ!

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.

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!

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!

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).

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

With the price of a chicken combo, you'll learn the deployment process in order: Spring Boot manual deployment -> Docker deployment -> Github Action CI/CD!

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

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

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

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.

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!

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

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

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

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.

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!

Python, if you want to write more efficient code? If you want to write more efficient code while implementing the same function, understanding data structures and algorithms in Python is essential. After taking a total of 8 hours of lectures consisting of theory and practice by a Python expert instructor, you will be able to create excellent results using Python.

Through this lecture, you can systematically learn core concepts such as the basic principles and implementation of stacks, stack applications: function calls (Call Stack), stack applications: expression evaluation, stack applications: parenthesis matching, and stack applications: implementing Undo/Redo functions.

This is a game development & algorithm course that focuses on the algorithms and principles of 2D game development from the ground up using Windows API and C++.

This is an online lecture that systematically organizes pathfinding and spatial partitioning algorithms used in game production.

When you study machine learning, you learn how to improve accuracy. But the moment you try to deploy that model onto an actual chip, you are left with questions no one ever taught you to ask: How many multiplications does this model require? What does it need to remember, and how much? Can the target chip specifications handle these demands? Machine learning textbooks focus on accuracy, while semiconductor textbooks focus on circuits, yet resources bridging the two are scarce. I repeatedly encountered this gap while implementing RISC-V CPUs and NPUs on FPGAs—facing situations where the model with the highest accuracy simply wouldn't fit on the board. In this course, you will build six algorithms from scratch in Python, measuring the number of multiplications, comparisons, memory usage, and accuracy for each. You will then translate these metrics into actual FPGA board resources. While knowing the number of multiplications alone doesn't give you a sense of scale, expressing it as a percentage of the board's resources makes it easy to assess. After completing nine labs and compiling the six models into a single table, an unexpected picture emerges. We spent nine sessions counting multiplications, only to find that multiplications weren't the actual bottleneck. From there, we move on to quantizing floating-point numbers to integers, managing bit widths, and even establishing criteria for grading circuits. An FPGA board is not required. The course can be completed using Python alone, with the board serving merely as a reference for translating the measured metrics.

Learn Python from scratch by fully utilizing ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly experiencing coding and developing problem-solving skills through example problems and practical exercises. After mastering Python's basic syntax, you can build your skills by solving various problems in Level 1 and Level 2. Furthermore, you can identify and supplement your weaknesses through an Exam structured like a real test. By regularly solving problems and utilizing ChatGPT, students can have a memorable learning experience without feeling bored.

You can understand the theoretical operating principles of the Kalman Filter through easy examples.

I hope that through this course you will gain a clearer understanding of grammar and gain confidence in solving problems.

When learning Swift, the iOS programming language, it can be confusing when multiple concepts appear all at once. That's why I created this course with the principle that "when understanding a new concept, only previously learned concepts should be used." So this course is meticulously designed with a sequential structure between concepts, where only one new concept appears at each stage, and no other unfamiliar concepts appear at all. One concept per minute, 180 concepts total. From the basics of variables and constants to understanding memory structure from a CS perspective, and even the latest syntax for asynchronous processing. In 3 hours, you'll learn 180 core concepts in the designed order.

✅ Out of the entire series (1) ~ (7), (4) data structure, algorithm, object-oriented, programming language ✅ CS101 series lectures - From basic computer theory to the latest practical examples - Provides a wide range of basic knowledge

This is an introductory Python course based on interactive textbooks. Understand the principles of programming through a charming board game.

Learn the principles of Diablo 1-style PCG dungeon generation by implementing its structure in the console, with the theme 'Technology Supporting Game Development in the AI Era'. Expand this to 3D in Unity to complete a generation pipeline equipped with seed-based dungeon generation, mesh placement rules, and debug tooling. Through sample code and hands-on practice, connect to AI-assisted art production workflows, enabling you to create immediately applicable dungeon crawler prototypes.

The Code Puzzle Clear Challenge is a 4-week intensive training course based on "Learn to Code 1" in Swift Playgrounds, designed to develop "computational thinking" by giving commands to make a computer move as intended. By solving puzzle missions in each session, participants naturally learn to break down problems into smaller steps (decomposition), recognize patterns to organize repetitive rules using for-loops or functions, and make logical judgments to change actions based on specific situations. Beyond simply finding the right answer, participants reach a level where they can explain and refine "why they solved it this way."

Even if you know nothing about coding, you can create your own scheduling app in just 4 weeks. Simply tell the AI, "Make an app like this," and paste the code you receive into Swift Playgrounds. Over 12 sessions—3 times a week, 30 minutes a day—you will complete a real app featuring adding/deleting/editing schedules, categories and notifications, filters and search, and even a calendar view. Don't worry if you run into errors; just ask the AI, and it will fix them for you. Start the challenge now to learn how to collaborate with AI, rather than just studying coding!