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

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

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

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.

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

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

It’s okay if you don’t know how to code. This course focuses on the experience of using AI to build an ad-revenue-generating Android app from scratch and successfully launching it in just one day. Many people stop at these stages: “I built the app, but how do I monetize it?” “I tried adding ads but got stuck on AdMob, policies, and reviews.” “I gave up right before launch because of the privacy policy.” In this course, we will navigate through every "drop-off point": 👉 Idea → App Creation → Ad Integration → Store Launch Essentials → Actual Deployment. We let the AI do the work, and we make the decisions. The goal is to complete an app with a "functioning revenue structure" within a single day.

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 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.

Currently, Android development can be done using both Java and Kotlin. You can develop the same Android applications regardless of which language you choose. This course covers most aspects of Android application development, from basics to advanced topics, and all code is written using Kotlin starting from the fundamentals. Additionally, it utilizes Google's latest UI library, Material 3. This course involves completing three projects throughout the entire Android curriculum. By working on these projects, you can master advanced techniques actually used in the industry, such as Hilt, Retrofit, Room Database, and MVVM. Furthermore, you can increase productivity using AI by performing "vibe coding" with Gemini within the Android development tools. Soft Campus will always strive to provide the most up-to-date lectures.

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.

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

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.

This course aims to build a solid foundation that enables even those new to C# to implement real projects. It's structured not just to teach syntax and move on, but to help you understand through hands-on practice why things work the way they do and how to apply them in different situations. You'll cover C# basic syntax, object-oriented concepts, exception handling, collections, and file I/O, as well as commonly used patterns and debugging techniques in real-world development.

This course will teach you how to develop web games.

This is a course where you study core computer science knowledge such as networking/multithreading/operating systems and learn MMORPG technology by building a game server from scratch.

A course to truly make you a hands-on game developer. Push your limits with 4 hands-on projects and 3 AI-specialized games!

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.

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.

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.

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.

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!

This course is built from real experience teaching beginners who often feel lost when starting Unity and game development. Many students struggle with understanding how scripts work together, how game mechanics are connected, and how to turn simple ideas into a complete playable game. In this course, I guide students step by step, explaining every concept clearly and practically. Instead of overwhelming theory, we focus on building a real 2D space shooter game from scratch. Every script is written and explained line by line so students understand not only what to do, but why it works. The goal is to remove confusion, build confidence, and help students think like game developers. By the end of the course, students are able to understand Unity 2D fundamentals and confidently start their own game projects.

Unity6 × C# × R3 Complete Guide to 2D Strategic Tower Defense Let's develop a full-fledged game together