This is a lecture on creating a console shooting game using the C language. Basic knowledge of C language programming is required.

Learn how to create online games more easily and quickly in the AI era.

Make your game dev dreams a reality. This comprehensive course is designed for all levels, from Unity beginners to developers looking to implement multiplayer games. Not just a tutorial, systematically learn game dev from A to Z by building a shooting game.

We structured the timeline feature, especially useful for visual novels, emotion-driven 2D games, and cinematic event scenes, for beginners' easy and practical learning.

Creating a simple Gomoku game using Unity and a C# server.

An example-centered lecture that focuses on the core and provides practical training

This is a lecture where you can study Unity tile map technologies.

This is a course that covers everything from the basics of Unity Engine to creating a shooting game.

Learn the contents by creating a 2D RPG using Unity.

This is a blockchain Web3 development project course. It is recommended that you take the basics and learn through Part 1 of the series.

This is the process of developing a blockchain Web3 web application.

Learn the basics of React Native to build your own apps or dApps that can later connect to the blockchain.

Through this course, students will gain the skills to study Unreal Engine in C++ and create a portfolio.

Through this course, students will gain the skills to study Unreal Engine in C++ and create a portfolio.

Through this course, students will gain the skills to manipulate Unreal Engine in C++ and create a portfolio.

This course enhances your skills by creating a Katana Zero-style game using the Unity engine and C# programming. The basic version focuses on fundamental content, making it easy to follow along if you have prior experience with Unity.

Make your game dev dreams a reality. This comprehensive course is designed for all levels, from Unity beginners to developers looking to implement multiplayer games. Not just a tutorial, systematically learn game dev from A to Z by building a shooting game.

Have you never coded before? Or are you already skilled? If your self-made game is on your self-made homepage, isn't that cool? We prepared this course for such people.

'Vampire Survivors: Building Together' course teaches implementing a 3D survival action game in Unity, mastering core systems of Vampire Survivors-like games. Following the full Steam release process, we'll build one complete game together.

From controlling your PC to advanced research and app development A guide to building your own 'AI work assistant' ready for immediate deployment

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

This course is designed for game designers who are unsure how to design enemy AI. We'll clearly break down pattern composition, behavior design, and difficulty adjustment methods in a designer's language—concepts that may have seemed vague before. After taking this course, you'll be able to independently determine 'what kind of enemy to design and why,' and communicate confidently with programmers.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is the technology that has come closest to AGI at this point in time. In this lecture, we explore LLM and Agent technologies from a general public perspective.

Using Unity based on the C# language, you will learn how to create a defense game step by step.

This course is a hands-on training program that leverages ChatGPT to analyze numerical and textual data and transform it into practical business reports, comprehensively covering everything from basic data structuring to pattern insight extraction, KPI analysis, automated customer feedback classification, and building automated templates for recurring reports, allowing you to develop both data interpretation and text conversion skills simultaneously. It maximizes learning effectiveness by providing data visualization hints and designing customized templates for teams and individuals in parallel.

We'll comprehensively cover all the hot topics in generative AI, LLM, and agents throughout 2025! Let's explore the trends in AI's remarkable development in '25, focusing on announcements from the three major AI developers (OpenAI, Google, Anthropic).

This course is a hands-on program for implementing generative AI applications based on text, images, voice, and documents using the OpenAI API. Starting from setting up the Anaconda and Jupyter Notebook environment, it covers essential development environment configurations for practical work, including API Key management and understanding costs and tokens. Based on the latest Responses API, you'll implement text generation, summarization, classification, Vision (image understanding), voice processing, and PDF input processing, while practicing core features used directly in the field step-by-step, such as Function Calling, Structured Outputs (Pydantic), Embedding, and RAG (File Search). Additionally, including Web Search, Code Interpreter, Streaming, Background tasks, and Conversation State management, you'll learn how to expand beyond simple API calls to 'intelligent AI services'. Finally, the goal is to implement agent-based AI systems that autonomously select and execute tools using the Agents SDK and MCP (Model Context Protocol), while learning the structure and design perspectives necessary for actual service development.

This course is an FPS game that runs on AR using Unity. You can learn about AR projects from AR settings to build and run.

It's an era where you can create apps even without knowing how to code. If you have an idea, you can implement the features you want by conversing with Claude Code. This book introduces a new development approach where you communicate with AI to achieve desired results, rather than writing code directly. Through 15 hands-on projects, you'll experience various workflows with AI, from creating personal web pages to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following examples, this provides an experience of completing the entire real-world development process—from planning, design, testing, to deployment—in collaboration with AI.

It's an undeniable fact that mathematics is essential for game developers. Instead of excessively deep traditional math lectures, learn all the mathematical techniques you can use right away!

In this course, you will build a system that directly parses DWG drawings in Unity and automatically converts them into actual 3D walls based on lines and polylines. After completing the DWG → 3D map automatic generation pipeline, you will also implement map editor functionality that allows you to freely place various objects on the generated space and save/load them in JSON/DB format. Finally, by integrating essential features used in real-world digital twins such as heatmaps, status displays, and real-time data reflection, you will complete a digital twin project from start to finish that can be immediately applied in industrial settings.

This course covers the entire process of designing and implementing generative AI services centered on LangChain 1.0 and LangGraph through step-by-step hands-on practice. Beyond simple LLM calls, you'll directly implement operational AI system architectures that include agent-based architecture, state management, memory, streaming, middleware, and Human-in-the-Loop. Through hands-on practice with document/PDF/web data-based RAG systems, SQL Agent (Chinook DB), tool-calling-based Agents, Supervisor pattern multi-agents, and state machine-based workflows using LangGraph Graph API, you'll build reusable agent pipelines that can be immediately applied in real-world scenarios. Additionally, through structured output (Pydantic-based), agent middleware (Summarization, HITL, Retry, PII protection), and token/step-by-step streaming, you'll complete generative AI applications with the stability, scalability, and controllability required in actual services. 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph 👉 For those who want to implement RAG·Agent as a real service structure, not just a "demo" 👉 This is the optimal course for those who need a realistic practical roadmap covering state-based agents, SQL·document automation, and multi-agent orchestration.

Are you confused about which technology trends really matter among the flood of information? We've analyzed global reports from Gartner, Microsoft, and others to clearly explain 10 key technologies (multi-agent systems, physical AI, AI security, etc.) that will define 2026.

This course will teach you how to develop web games.

This course is designed to help complete beginners overcome the most common challenges in game development: understanding Unity, learning C#, and knowing how to turn ideas into real, playable games. Through years of teaching beginners, I have learned that students struggle most with complex explanations, disconnected theory, and lack of real practice. That’s why this course follows a clear, step-by-step, hands-on approach, where every concept is explained simply and immediately applied in real game projects. Students will build full 2D games from scratch, learning how to create player movement, enemies, levels, UI systems, animations, audio, and complete game flows. By the end of the course, learners will not only understand how 2D games work but will confidently create and export their own games using Unity and C#.

Learn how to design various shaders and visual effects that can be used in games using Unity 6 Shader Graph. This is a step-by-step lecture from basic to advanced techniques for beginners and experts alike.