Building an Unreal Agent from Scratch (Liu)

💸 A profitable AI agent web service course where real payments happen! ❗ Stop making websites just for your portfolio and build an <AI Commentary Product Mall> with 'infinite inventory and zero cost'! 🤖 Build a solid foundation starting from the 'service specification' with your AI development team members, just like working with a human development team!

This is a beginner-level course on Unity development that teaches students who know a little bit about Unity how to easily develop asynchronous programming using Unity's coroutine and UniTask.

"Turn your Java code into the hands and feet of AI! Practical Agent Development with Kakao PlayMCP and Spring AI" Traditional LLMs are limited to answering based only on their trained data, which can lead to issues with recency and accuracy. In this course, you will learn **MCP (Model Context Protocol)**—the next-generation standard protocol for connecting AI with external tools. Using Spring AI, you will build a server that communicates with various platforms like Kakao PlayMCP through a single implementation. Master the entire process from theory to real-world deployment and platform registration through the 'Proverbs & Psalms Counseling Center (JAMSI)' project, and grow into a true AI agent developer who can empower AI to handle tools independently.

Learn C# in the Unity environment. Learning C# will help you naturally learn the Unity development environment, which will be very beneficial for beginner developers.

The ultimate profitable service: I create fortune-telling services that keep running even while I sleep. With a service built in just one week, I generated 2 million won in revenue during the first month without spending anything on advertising. My second service, built recently in just three days, generated 340,000 won in net revenue in a single day. This is not just a simple 'click-and-go' fortune-telling service. I am in charge of creating fortune-telling services for one of Korea’s leading associations of professional fortune-tellers, and I also develop and operate fortune-telling services made using IP purchased from Naver Webtoon. Starting from cases I have operated myself, this course walks you through the process of creating a high-quality fortune-telling service for your own brand by conversing with AI—even if you have no technical background. You will implement everything from characters and stories to fortune-telling results, payment and automated delivery, and an admin dashboard, then connect customer acquisition through automated Threads posts, Meta ads, and YouTube content. This is a 'real' fortune-telling course focused not just on the fun of creating, but on monetization.

This is a training-style lecture for absolute beginners who are making their first game. After learning the core functions of 2D games using Unity, you will use it to make a 2D dungeon tank shooter game.

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

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.

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.

AI is only as good as you are. Learn vibe coding properly in three steps: how to use AI → essential foundational knowledge → project development. For those who want to learn vibe coding the right way, we deliver the core concepts that remain unchanged regardless of which AI you use, broken down into bite-sized pieces.

An era where even IT beginners can become the 'CEO of their own platform' with just an idea, utilizing AI and Gnuboard! We will demonstrate the actual development process in detail, from planning to deployment, and even share various monetization methods such as advertising and shopping malls. Start your online business right now!

This course is not about collecting a large number of prompts. It is about learning an AI directing framework that can be applied immediately to any role or task. Even if you download prompts for specific tasks, in practice you still need to find the prompt you need, adapt it to your situation, and spend time revising the output. Through the M·A·G·I·C prompt framework, you will learn how to design the purpose, context, examples, completion criteria, and review criteria all at once. From reports, proposals, and marketing execution plans to meeting summaries, work emails, and repetitive task automation, you can connect everything with a single framework, reduce unnecessary revision conversations with AI, and build practical AI skills that will change the speed of your work starting tomorrow.

Developing AI Applications with Spring Boot and Spring AI: Mastering OpenAI for Real-World Solutions

This is a tutorial-style Claude Code development course that beginners and those new to development can easily follow. Based on experience teaching planners, designers, and non-developers in offline classes, the course covers everything in one continuous flow—from beginner examples not covered in books to intermediate development examples. Using Claude Code, you will experience the step-by-step development process, starting with Hello World and progressing to a lucky draw, a device-optimized café menu management web page integrating Claude Design with Excel data, and a SaaS web application that can be connected to a database and deployed to cloud services. Tutorials are provided at each stage—theory, practice, and projects. Through hands-on exercises across 6 levels, you will learn AI-collaborative development methodologies and experience the entire development cycle, including cloud deployment and operations.

Building an MVP with AI is no longer difficult. However, most projects stop at the next stage. 👉 You’ve built the features 👉 But development doesn't continue Why does this happen? The problem isn't the code; 👉 It's because there is no structure that allows AI to work continuously. --- In this course, based on an existing project, 👉 We will cover the process of building a structure 👉 That allows AI to continue development on its own. --- Instead of simply using AI tools, we will: * Create a docs structure * Define the SSOT (Single Source of Truth) * Execute development on a per-ticket basis * Connect QA and iteration cycles 👉 To complete a single "AI Development System." --- Through this process, you will: 👉 Create a structure where development continues 👉 Even without a human manually coding. In other words, you can: 👉 Build and understand a development system 👉 That operates AI like a team. --- This course is designed for: 👉 Those who want to build a structure applicable to their projects immediately 👉 Those who started development with AI but found it difficult to sustain 👉 Those who want to move to the next level after "Vibe Coding" --- Beyond just learning, we provide an experience where you: 👉 Take action 👉 Build a structure that actually works 👉 And walk away with a framework you can apply to your own projects.

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.

🌿 Class Introduction This course focuses on learning Unreal Engine's Procedural Content Generation (PCG) system through a practical, hands-on approach. You will learn step-by-step techniques to automatically place complex terrain, roads, trees, and lighting, allowing you to build an efficient environment production pipeline without repetitive manual work. Rather than just listing nodes, we use a structural approach that can be applied immediately to projects to maximize production speed. 🚀 💡 3 Reasons Why This Class Is Special ❶ Practical PCG Approach We focus on **'project-centered design'** rather than just listing features. By linking core systems such as landscapes, splines, and level instances, you will build an automation pipeline and experience production efficiency at least three times faster than manual work. ⚡ ❷ Full Integration of PCG Graphs × Blueprints We create a structure where artists and programmers can work together by exposing PCG parameters to Blueprints. With a systematic PCG design that can control density, meshes, and even materials, you will secure powerful scalability even for large-scale projects. 🧩 ❸ Automation, Efficiency, and Scalability Implement everything from spline-based automatic placement of roads, streetlights, and fences to material and vegetation changes based on terrain slope. Complete real-world environment automation logic, such as automatically clearing forests around roads using 'Difference' and 'Distance' nodes. 🌲 Instructor Portfolio: twinvion.com

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.

"Skip the formulas and code—focus on the principles and visual results!" This lecture was designed for 3D artists and modelers who have given up on understanding PBR (Physically Based Rendering) due to technical barriers. To ensure you can apply it directly to your actual work without any programming knowledge, we explain the visual principles of how light reacts on object surfaces. Basic Physics of Light: We break down intimidating terms like speed of light, illuminance, and luminance into concepts that are easy for artists to understand. Visual Implementation of Surfaces: Learn the Fresnel characteristics inherent in all objects and light reflection based on roughness through 'visual principles' rather than code. Advanced Lighting Techniques: Analyze what difference IBL (Image-Based Lighting) and Global Illumination make in actual modeling results. Understanding the Rendering Equation: Elevate the quality of your work by understanding the Rendering Equation—the core of rendering engines—not as a formula, but as a 'promise' that shows the flow of light. #PBRforArtists #3DModelerCourse #NoCodeGraphics #PhysicallyBasedRendering #PBRPrinciples #RenderingEquation #FresnelEffect #GraphicsforNonMajors #3DRenderingBasics #CGArtist #IntroToRendering #VisualPrinciplesLecture #3DWorkTips

You will learn Blazor with C#.