What if I were on the Titanic?! Building a Survival Probability Prediction AI Web Service with PyTorch & Next.js

Using InstantID, IP-Adapter, and AnimateDiff v3, we create commercially deliverable 2D anime illustrations and animations while maintaining character consistency. We build a practical production pipeline that combines precise prompt control based on PonyXL with the Impact Pack detailer to automatically correct drawing defects, and completes high-quality loop videos with 4K ultra-high-definition upscaling and motion LoRAs.

This is a practical course where you can learn the process of building a company website yourself using React, Node.js, and MongoDB. Let's build a full-stack project together with a basic background in React and Node.js!

This course covers the fundamentals of the Notion API and teaches you how to automate Notion by integrating AI (Claude) using Notion MCP. You'll learn to directly control blocks, pages, and databases by following the official API documentation, and ultimately complete a hands-on project that creates databases and automatically adds pages by analyzing text file content using only natural language commands (prompts).

Build a zero-cost pipeline by installing ComfyUI on Kaggle's free GPU, connecting via Pinggy tunneling, and linking it with n8n workflows to automatically iterate through Google Sheets prompts for bulk image generation, storage, and notifications. Through 10 chapters over 8 hours, you will practice everything from the ComfyUI node system to REST API conversion and n8n Loop/Webhook integration, reproducing the same results using provided JSON files. Even without programming experience, you will complete a practical automation factory that mass-produces SNS, advertisement, and thumbnail images unattended.

Do you want to automate repetitive tasks with AI without using paid tools? I will share the practical know-how I gained from building systems myself using n8n and Llama. This is not a lecture where you simply learn "how to connect nodes." We will build actual workflows that you can use immediately, such as automatic Google Sheets organization, YouTube subtitle collection, AI fact-checking, and schedule management.

Are you feeling stuck with AI and payment integration, or production-level implementation? With know-how gained through countless trials and errors, I will help you complete a fully operational Voice AI SaaS. A simple demo is easy, but everyone gets stuck when trying to tie the entire cycle together—from upload and memo editing to credits, payments, and admin management. This course will guide you through that final stretch, putting a fully functioning voice-to-text product right into your hands.

What if AI could directly open a browser and write shell scripts to resolve server issues? Through practical automation know-how implemented with OpenClaw across Windows and Linux, we guide you on the shortest path to completing your own powerful remote development environment without complex configurations.

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

This is a practical course where you will directly create a timer app using React, Electron, and Zustand, and even deploy it to cross-platforms (Windows, macOS, Linux). Starting with familiar React web development, you can learn the entire flow of desktop app development, including global state management via Zustand and final GUI deployment!

In this course, we will practice step-by-step how to use React and FastAPI to implement social features such as real-time voting, comments, and likes, as well as how to monetize by integrating payment systems (Kakao Pay, Toss Pay, etc.).

🔥 Building a customized platform for learning Chinese characters! Utilize Google Gemini AI and Firestore to implement your own Chinese character vocabulary list, stroke order animations, and even handwriting recognition!

🔥 Firebase User Authentication Completed with just HTML + Tailwind CSS + Pure JavaScript! From social login to phone and location verification, easily and quickly build an account system without a complex backend.

You can acquire an overview of machine learning and deep learning, how to use basic tools, and the Python language knowledge necessary for learning in a short period of time.

Deep Learning Math from Scratch and Practical Data Visualization: Conquering with Excel Without Coding

This course teaches the “core concepts” of deep learning required to work in the deep learning field and the practical skills required to perform actual deep learning projects through hands-on training using PyTorch.

💸 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!

Using the ChatGPT API, develop a full-stack multilingual translator web application in just 30 minutes, and even if you know nothing about AI, try incorporating the latest AI (ChatGPT API) into your product!

You will learn how to analyze and quickly visualize various types of data using the Python Streamlit library and output it as a web service. You can use it when you want to apply it to your work faster than the existing web development method.

Digital marketing that makes money, such as Naver Shopping and Coupang Partners, requires consistency, but you can approach it easily and effectively with scientific analysis and automation. We will teach you the key secrets of creating a program that collects and analyzes popular products, keywords, blogs, and shopping information.

This is a profit-oriented practical course where you will directly develop coin/stock automated trading systems and apply real-world trading strategies such as Grid, Moving Average, and Martingale. You will build 24-hour automated trading bots through practical trading exercises using Upbit, Binance, and Korea Investment & Securities (Kiwoom Securities) APIs, along with cloud deployment, while exploring real-world strategies for monetization. #Quant #Bitcoin #Algorithm #Investment #WealthManagement #AutomatedTrading #Bot #Agent #AI #OpenClaude #ClaudeCode

This is a process for completing IoT products without complex coding, using the Vibe Coding methodology powered by AI agents. You can experience the entire product development cycle in a condensed format—from embedded hardware control and AI vision recognition to PCB design, 3D printing, and web/app service development—allowing you to launch functional, commercial-grade IoT devices.

We're building an AI-powered video conferencing application with real-time AI agents, meeting summary features, and post-call functionality.

Let's implement a deep learning framework directly with Excel! Let's solve supervised learning/unsupervised learning/reinforcement learning with the implemented framework!

Build a fully functional smart farm platform that integrates sensor data collection, MQTT communication, web dashboards, and AI-driven environmental analysis. Experience the entire process of agricultural digital transformation (DX) through a hands-on project, covering everything from IoT sensor integration and FastAPI/Spring-based API servers to React/Vue dashboard development and cloud deployment.

Traditional React development and Next.js development are completely different approaches. This course penetrates the core of the latest Next.js 16 and teaches you the 'real' Next.js way of development. Experience how to achieve both performance and efficiency, from job portfolio projects to real-world projects. Let's develop the Next.js way! The course is structured to help you learn by doing, creating actual examples to understand how to apply Next.js features. You'll learn faster through actual code rather than theory, focusing on Server Components and covering Server Actions and caching strategies. Since the goal of the course is to catch up with the Next.js vibe as quickly as possible, the lectures are conducted using JavaScript. However, each lecture's examples are additionally provided as course materials created in TypeScript. December 18, 2025 - Updated to Next.js 16

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

★PYTHON★ This is a basic lecture on server development using Fast API. Learn how to develop servers easily, quickly, and conveniently using various packages such as Fast API, SQLAlchemy, Pydantic, and Starlette! Don't worry, we have prepared a DB backup file as well as integration with PostgreSQL! We will teach you the "basics" of UI design using Dash and Plotly and provide the source code used in the lecture :)

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

From core theories of deep learning and CNN to various CNN model implementation methods, and practical deep learning development know-how through real-world problems, If you want to become a deep learning CNN technology expert based on Pytorch, join us in this lecture :)

AI is no longer a choice, but a matter of survival. Shorten development tasks that used to take 3 days down to 30 minutes; leave repetitive tasks to AI and focus on solving more important problems. Through AI-native development methods that are practical rather than theoretical, we will show you the definitive way to be recognized as an "AI-savvy developer" at your company.

Master Claude Code from the basics to a professional level. You will learn core features (CLAUDE.md, sub-agents, MCP, Hooks, etc.) to develop and deploy actual services, concluding with foundational appendices for non-majors and advanced application lectures.

A full course on Next.js you can sink your teeth into! Complete a real-world project using the latest technologies such as GraphQL, Redis, RabbitMQ, Prisma, TailwindCSS, Docker Compose, Cypress, Prometheus, and Grafana, and experience both the App Router and Page Router.