[CLI, MCP] Creating a Unity Idle Game with AI

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.

This is a practical course where you will go through the entire process of game development, ad integration, in-app purchase implementation, Android and iOS builds, and actual store release using the Claude Code CLI. You will experience the full workflow of completing a game in collaboration with AI and launching a service-ready game, going beyond simple development.

This is a course where you can learn the actual workflow of creating a visual novel game using Unity 6. Together, we will implement core features necessary for story-based games, such as dialogue systems, branching choices, character presentation, and UI configuration. The course is based on the project currently under development, "NoNextStop," allowing you to experience practical production structures rather than simple examples.

We simplify complex VR development by focusing on core features, helping anyone create their own VR games.

Learning Unity Programming with Algorithms: From Pathfinding to Fog of War

'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.

In this lecture, we will implement various server systems such as chat, party, trade, guild, ranking, and auction house step-by-step using Photon and Firestore.

"Create your own survival game where you manage resources and challenge survival! This is a hands-on lecture that takes you through the process of resource collection and building construction using project-based learning.

This covers the process of developing a multiplayer game in the defense genre using Unity 6. It's a practical course where you learn step by step, from game logic to release.

This course focuses on developing revenue-generating mobile games by creating idle games.

In this course, you will learn about the core technologies used in Unity and how to use design patterns.

Through this course, students can learn the basics of computer theory and the essential processes of Unity game development.

Are you feeling anxious because it seems like everyone is trying Vibe Coding except you? Unsure of where to even begin? Don't worry. SSG Coach is here to help. Game development isn't difficult when you're Vibe Coding with AI. I will guide you so that anyone can create a game using only the free Gemini CLI. I will also provide essential game development knowledge, so that after completing this course, you'll be ready to take on other game projects as well.

This is a course where you will learn about how to use the Unity engine and the features it provides, and learn methods to manage it efficiently.

This is a lecture that naturally learns data structures and algorithms while studying [pathfinding], which is essential for RPG games.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

Learn the core principles and practical implementation of Classic RAG, Graph RAG, and Agentic RAG. You will design dynamic routing systems that optimize token efficiency and latency, and build long-term memory systems that combine GraphRAG's relational network reasoning with Agentic RAG's self-evaluation loops. This course is designed to complete your expertise in designing advanced RAG architectures that can be immediately applied in professional practice.

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

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.

With the advancement of technology since the Fourth Industrial Revolution, industrial boundaries are collapsing and digitalization is accelerating, opening the era of business process automation through RPA software robots. Through UiPath, I hope you can automate repetitive, simple, or complex tasks with one robot per person, allowing individuals to spend their time on higher-value work. Increase the efficiency of digital labor through RPA and implement automation that is free from the constraints of working hours!

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.

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.

[Sustainable AX, and How to Collaborate with AI Colleagues] Have you encountered these limitations while trying to apply AI tools to your practical work? 🙋‍♂️: "Entering commands from scratch every time is actually more of a hassle." 👨‍💻: "I feel fatigued by one-off tasks that just involve repeated copying and pasting." 🤷‍♂️: "Since I don't have development knowledge, I don't even dare to try deeper task automation." What we need right now is not just 'how to use a tool' to learn functions. It is a perspective of nurturing your own AI colleague that understands the context of your work and becomes smarter over time. We transparently reveal a practical AX (AI Transformation) guideline established by a non-developer planner through countless trials and errors in the field.

AI proficiency determines your salary. Leave the tedious, repetitive tasks you do every day to AI. 'Almost Everything About Work Automation' teaches you how to create an automation system that handles your work on its own with just a few clicks, even without any coding knowledge. You will be freed from boring paperwork and data organization, and transform into an 'AI-savvy professional' who stays ahead of others.

Done in a single line of command. Hermes, the AI agent that remembers, automates, and grows on its own. Even if you are not a developer, you can become someone who 'delegates' work to AI starting today. SMARTFORK will be with you from installation to practical application.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.

How long are you going to manually look through 2,500 stocks every day? Searching through Naver Finance to find surging stocks after the market closes, Reading news to judge whether it's good or bad news, Checking foreign/institutional supply and demand one by one, Opening charts to analyze patterns... Aren't you repeating this every single day? I used to do that too. I spent 2 to 3 hours after work analyzing stocks, and yet I still missed more stocks than I found. With over 2,500 stocks across KOSPI and KOSDAQ combined, it's impossible for a human to see them all every day. --- So, I built a system. I created a system that automatically analyzes 2,500 stocks every day after the market closes. - Automatically collects market prices, supply/demand, and news - AI (Gemini) reads the news and determines if it's positive or negative - Scores stocks out of 15 points based on 6 factors - Selects only the stocks that pass the criteria and calculates entry, stop-loss, and take-profit prices - Sends notifications via Telegram Now, I just check my phone after work. Additionally, every Saturday, the system analyzes its own performance from the past week and automatically adjusts stop-loss lines, take-profit lines, and holding periods. It is a structure where the system learns and improves on its own. --- But I am not a developer. I didn't write the code for this system myself. I gave all the instructions to the AI verbally. "Filter out stocks that rose more than 5% today with a trading volume exceeding 50 billion won." "Send these 3 news articles to Gemini and have it judge if they are positive." "Create a scheduler so this runs automatically every day at 4 PM." When I speak like this, the AI (Claude) generates the code. This is "Vibe Coding." --- In this course, we will build this exact system. Over 58 lessons, we will build the system I actually use every day from start to finish. Starting from data collection, AI news analysis, scoring engine, signal generation, Flask API server, Next.js web dashboard, Telegram automatic notifications, and even the self-learning system. The final product is not a Jupyter Notebook. The final product is a web dashboard and Telegram notifications that actually run every day. You don't need to know how to code. In every lesson, I will show you how to talk to Claude, and if you follow along, you will get the same results. --- Recommended for: - Office worker investors who lack the time to analyze stocks every day - Those who want an automated system but don't know how to code - Those curious about quant/system trading but don't know where to start - Those curious about how to utilize AI in practice --- ⚠️ This course does not guarantee investment returns. This is a programming course on building your own stock analysis tools. Actual investment decisions are the responsibility of the student.

Learn the entire process of running the latest Gemma 4 model directly on your MacBook without the burden of paid API costs. You will master performance maximization techniques using Apple Silicon's Metal API and optimal parameter settings for different VRAM capacities, while gaining the ability to build production-level local AI infrastructure based on FastAPI.

How to easily create games with AI, launch them on the Toss app with 30 million users, and monetize them.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is currently the technology that has come closest to AGI. In this lecture, we will explore LLM and Agent technologies from a layperson's perspective.

Build a full-scale tower defense game from scratch in Unity using C#. This practical course implements the mechanics of a strategy game—where you place characters to prevent enemy invasions—by breaking them down into individual functional components.