[4-Week Completion] Clean Architecture with AI for Senior Developer Advancement

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.

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.

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.

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!

Have you ever actually run a service you built? Deployment and observability, external integrations and queues, files and extensions, and operating AI features. This is Part 2, where you learn what else needs to be decided to keep an AI-built backend serving real users continuously.

The lecture explains why the harness is more important than the model through the lens of Claude Code architecture. It also covers how to design a Claude Code work system around six structures: Context Harness, Permission Harness, Verification Harness, Tool Harness, Subagent & Worktree Harness, and Debugging Harness. It then connects these concepts to CLAUDE.md, session management, controlling large codebases, parallel worktree operations, error log analysis, and tracking environment variable and configuration scope issues, helping you establish practical standards for continuing to use Claude Code in real-world backend and DevOps work.

Are you overwhelmed by AI-generated backend code and unsure where to look? Learn how to identify missing conditions in requests, APIs, data, concurrency, authentication, and caching—and what requirements to give the AI and what criteria to use when reviewing its output.

If you feel lost about what to learn in an era where AI writes code, you can find clear answers in the principles of UNIX and the kernel—the unchanging essence of systems. Through a practical project that integrates Node.js with a C language engine (FFmpeg), this course delivers the perspective of the top 1% of architects who command entire systems without being swayed by technology trends.

In an era where AI writes code for us, the value of a "true architect" who can see through and control the macroscopic framework of a system becomes overwhelmingly higher. This course digs into the essence of low-level networks and TCP/UDP sockets hidden behind frameworks, cultivating the ability to design robust core engines that never crash even in the face of millions of traffic hits and large-scale data. Go beyond being a coder who blindly repeats copy-pasting, and leap forward to become an irreplaceable master who directs and controls AI with clear, system-level solutions.

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.

Drawing from my own experience of feeling despondent when trying to implement practical code during my first MSA transition—despite knowing the theory—I will help you grow into a developer who guarantees perfect data consistency amidst any system failure by directly rolling back daunting compensation logic through 9-step practical patterns and AI Agent coding.

This is a practical project course where you will build a complete web service from planning to deployment using AI coding tools. You will gain hands-on experience with the entire process—including database design, file storage implementation, and service operation—within a Windows environment to acquire practical development skills for the AI era.

KakaoTalk Bot Automation Course & Study Group Opening Announcement ​ We are opening a course and study group where you can learn how to automate KakaoTalk Open Chat room operations, create Iris-based bots, and build AI Agents using n8n/OpenClaw. ​ In this course, you will go beyond creating simple command bots and build automation features that can be used directly in real Open Chat rooms. If you get stuck while building, a dedicated mentor will personally assist you. ​ 1. Course Content ⊙ Basics of Iris-based KakaoTalk bots ⊙ Creating basic command bots ⊙ Creating a stock lookup AI Agent ⊙ Creating an AI Agent for news searches and summaries ⊙ Sending automated daily morning news reports ⊙ Creating an image-generation AI Agent ⊙ Hands-on automation practice integrating n8n/OpenClaw

Are you feeling stuck trying to implement an agent that goes beyond a simple chatbot? Based on my own trial and error and know-how from official documentation, I will show you how to build intermediate-level agents that can be immediately applied to real-world tasks.

This course trains you to think in terms of frontend system design through real-world service cases such as Threads feeds, Amazon shopping carts, the Netflix streaming UI, Google Docs collaborative editing, Micro Frontends, Agentic UI, and Observability.

Now we need to move beyond the beginner level and reach the level of a professional developer. I’ll reveal how games are actually made in the industry.

A selfish era where only those who know how to properly utilize AI can generate profit. Essential web development concepts for profitability and a realistic guide you must know to 'properly' direct AI coding agents. From the mindset of coding without writing a single line of code to realistic methods for building a product with zero budget, and even practical details on business registration and tax processing. This is an AI-driven profitable web programming guide filled with insights gained from the actual field.

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.

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

This is the definitive course on Claude Code. We’ll delve into how and why Claude Code works all the way to the end, teach you how to apply the components of harness engineering yourself, and even dissect publicly available production code firsthand. Take the know-how of a developer with 10+ years of industry experience and become a key talent in the age of AI agents.