Learning Web Development Concepts and Vibe Coding from Zero Base

You don't need to know any coding at all. In just half a day of studying VIBE Coding, you'll be able to create programs without writing any code. Let's learn the latest AI coding methods by directly creating 10 step-by-step examples such as web scraping, TTS, chatbots, and games.

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

This course is an introductory coding program for non-developers, aiming to eliminate vague fears about coding and instill the confidence to directly build web services and applications.

AI agents, the latest trend in generative AI! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its capabilities!

Document → Code Automation. Stop typing prompts and let the system do the work. Build your own AI development agent with Skills, Sub-agents, and Commands, and complete monetization services through 5 real-world projects.

After using it for 14 days starting immediately upon release, here are the reasons why I recommend Claude Code (AI Coding) to everyone—from job seekers to industry professionals—as something they can apply right away.

Have you ever regretted focusing only on notes instead of making eye contact, or failing to accurately record meeting details after an important client meeting? Don't worry anymore! In this lecture, we'll help you build your own CRM assistant using Vibe Coding to summarize key information with AI and neatly save meeting content. You'll learn how to drastically reduce cumbersome document creation time, maximize work productivity, and revolutionize customer management!

Learn deep learning through PyTorch. Ultimately, the course covers image classification.

Explore → Plan → Implement → Commit. Master a proven AI development workflow with Claude Code. Learn everything from MCP and sub-agents to prompt engineering through 23 missions, and complete 3 real-world projects.

This course conducts hands-on practice related to Diffusion models among generative artificial intelligence models. By reading and implementing the prompt-to-prompt paper, which is a representative Diffusion model application paper, we expect to cultivate the ability to understand the latest artificial intelligence papers.

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.

If you are afraid of the black screen, things are about to change. Meet the Linux terminal in just 10 minutes with WSL. ● Beginners and non-majors ● Computer Engineering and Computer Science students ● Developers in need of basic training ● Those who are intimidated by white text on a black screen ● Those who feel overwhelmed trying to launch an actual service Practice Environment: WSL / Virtualbox / Ubuntu 24.04 / Rocky 9 An instructor with 26 years of experience will guide you at a beginner's level. One hour a day for one week, and you will start to see Linux.

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.

This lecture is the final lecture in the [Web Development Full Stack Course] lecture series for training full-stack web developers, and is a lecture on portfolio project development. By synthesizing everything learned in [Web Development Full Stack Course], you will be able to understand what you have learned while developing an actual web application and directly apply the basic functions.

No matter how much you study React, Next.js, or Vue, if the code feels abstract and the structure isn't clearly understood, the root cause might be a lack of understanding of DOM. DOM is the foundation of all frontend frameworks and the entity that connects the structure and behavior of web pages. This lecture goes beyond simple selectors or manipulation methods, teaching step-by-step from the very beginning how HTML transforms into DOM objects and how to select, traverse, and manipulate this structure. It is the Part 1 introductory lecture of 'Complete DOM Mastery'. HTML tags are just structure, and JavaScript is just behavior, but DOM is the core that connects the two. If you clearly understand this connection, you'll be able to precisely grasp the true structure and flow within any framework you use.

The era of 'your own platform CEO' begins, even for IT beginners, with just an idea, using AI and GNUBOARD! We'll demonstrate the full development process from planning to deployment, and share diverse monetization methods like ads and shopping malls. Start your online business now!

In an era where AI writes code for you, will you remain a 'Coder' or leap forward to become an 'Architect'? This course is designed for junior developers who can handle basic implementation but feel stuck about the next steps or are anxious about falling into the trap of 'fake experience'. We aim to go beyond simply learning clean architecture theory and turn Robert C. Martin's (Uncle Bob) high-level design principles into weapons for the AI era.

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

New to React? You need to think about how to learn React's fundamental concepts solidly yet quickly. Start with Next.js and JavaScript with minimal knowledge. Let's develop by selecting only the essential examples needed for real-world development. The Todo example is so important that you should develop it twice. Once focusing on components, and then focusing on routing that handles browser paths! Use Zustand for login! You can handle global state with a really small amount of code.

While LLMs are currently transforming the development environment, what truly matters is not just "writing code on your behalf" but integrating them as features into a service. This course provides a step-by-step guide to implementing a lightweight yet polished Tarot reading service using Next.js and the OpenAI API. In the first stage, we will build an MVP that works without a backend, connecting the user input flow (questions/threads/card selection) to result generation. In subsequent stages, we will expand the functionality by building a backend, implementing general login and OAuth, adding community features, and creating a reading dashboard. Finally, we will conclude by deploying to AWS and integrating Google AdSense to complete a service ready for actual operation. Additionally, we will cover understanding pricing structures and cost optimization strategies to ensure that LLM API usage costs do not become a burden.