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

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 :)

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.

This is a course that intensively covers gradient descent, the most fundamental learning algorithm in deep learning.

When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!

Implement Deep Learning Basics in Excel for Deeper Understanding!

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

We will create a Twitter-like SNS service using the React & Next & Redux & Redux-Saga & Express stack. Finally, we will perform search engine optimization and deploy it to AWS.

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.

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!

The Next.js 15 App Router is a powerful architecture for building high-performance web services by perfectly controlling the boundary between server and client. This course clearly connects complex rendering mechanisms—from the operating principles of React Server Components (RSC) to the three major caching strategies (Static, Dynamic, and ISR)—through 12 practical missions. Through this, you will gain the ability to design file-system routing and nested layouts according to business requirements, completely breaking free from the anxiety of "vibe coding" where you copy code without understanding the principles. Ultimately, you will evolve into a Next.js architect who can instantly spot the blind spots in AI-generated code and proactively direct the optimal structure.

In this 24-hour tutorial, you will learn how to build your own YouTube clone. We will cover advanced topics such as Next 15 and React 19 (including tRPC), prefetching in Server Components, utilizing Suspense in Client Components, video processing, background jobs, and AI features.

We solve the challenge of knowing Python syntax but struggling to build services through hands-on experience at Naver and step-by-step practice.

💸 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!

It is difficult to complete a classification service using only AI API calls. Based on practical experience, I guide you through everything from implementation to deployment.

Master Claude Code from the basics to a professional level. Learn core features (CLAUDE.md · subagents · MCP · Hooks, etc.), develop and deploy a real-world service, and wrap up with foundational appendices and advanced-use lessons for non-majors.

In the era of swift execution and validation, execute faster than anyone with VIBE Coding! Achieve complete monetization, from ads to payments, all by yourself.

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.

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.

A current startup CTO will share vibe coding knowledge gained through actual services and various outsourcing projects.

We will create an SNS service similar to Twitter (X.com) using the React19 & Next15 & ReactQuery5 & Next Auth5 & MSW2 & socket.io4 & zustand stack. Finally, we will add SSR for search engine optimization!