From my life's OS with Claude Code, to my team's OS with OpenClaude.

From 3D miniatures and mechanical animations to AI creators and 3D typography, you will create them yourself over four weeks and master workflows proven in the corporate field.

You want to create a brand, but you're not sure where to start, right? From zero—with no brand and no product—we will define the value and complete the product detail page together with Claude. We will demonstrate the entire process in one place.

Embed your tone, keywords, and structure into a Claude Project to build a workflow within Claude chat, covering everything from research to drafting.

It's okay if AI feels unfamiliar and difficult to you. In just one week, I will share the entire "trial and error" journey of building everything from a membership landing page to automation and data analysis from scratch using Claude Code. Even if you don't know how to code or are a complete AI beginner, I'll show you through real-world examples so you can take on the challenge yourself.

There's so much talk about AX these days. At Selfish Club, we started asking ourselves, "How 'agentic' can our way of working actually become?" So, for two months, we just dove right in. From how we drew the roadmap and what our non-developer crew members built with Claude, to how we transformed the process of creating product detail pages—which we used to build from scratch every time—into a system. Instead of a polished conclusion, we're sharing the raw, chaotic process of our trial and error.

There are so many stories saying, "Automation is just one click away." However, it's easy to give up when you actually try to apply it to your own work. We have captured the raw record of a team that spent six weeks narrowing the gap between "it works" and "I am using this for my work!"

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

Four creators who have actually conducted AI video projects in various industries such as athleisure and beauty will reveal how to create "AI videos used in real business." We will show you actual use cases and workflows, not just possibilities.

This sharing session was prepared not for those who are already proficient in Claude, but for those who are just starting out and feel overwhelmed by where to begin. We will show you the entire process of a real-world project—from planning and CRM automation to content creation and ad analysis—all handled in one-stop within a single conversation, using actual cases.

We are revealing the entire process—without filters—of how non-developers built a Slack bot from scratch, including all the trial and error along the way.

Get the practical AI utilization know-how and various case studies from the 'Selfish Membership' crew, the AI working team of Selfish Club, all at once!

A practical sharing session on 'Blog-based Monetization' executed and verified by approximately 120 people over 4 weeks.

This session is prepared for those who already have some understanding of or experience with automation or n8n. It covers the real-world problems and solutions Selfish Club encountered while building DB and CRM automation using n8n, so we highly recommend it to anyone considering implementing n8n automation but unsure of how to start.

How could a team with zero AI knowledge and "zero" video experts create 25 videos with 9 global brands in just 5 months? ‍ We are revealing everything—from the strategies and processes that created real business impact with AI to the core insights.

We have condensed the 164-hour curriculum used for the company-wide training of the major cosmetic brand 'Clio' into a core 4-session online curriculum. Don't miss this absolute opportunity to directly experience the process that an actual corporation selected and implemented!

We are truly in an era where anyone can create their own service in just a single day. In the previous Vibe Coding workshop, the goal was to experience firsthand what Vibe Coding is all about, and for everyone to complete and deploy the frontend (the visible pages) of the service they wanted to build. This upcoming workshop goes beyond simply creating a service that looks good. It focuses on a development approach that emphasizes imagining specific actual users and asking, "Who will use this service, and why?" Through the workshop, participants will learn how to clearly define their target users and the problems they aim to solve while building their own services. It’s perfectly fine if you’re new to Vibe Coding! You don't need to know how to code or understand development. Experience more than just following along—come and create a truly functional service yourself at this workshop!

In this sharing session, the members of NDA AI Studio, the AI video team of Selfish Club, will personally share their experience! Based on an actual project conducted with the senior dog supplement brand Dr. Ian, we will share how we designed and executed the entire brand marketing process using AI. From creating an animated universe that captures the brand philosophy to planning and executing product detail pages and producing short-form videos for conversion! We plan to share the actual workflow, focusing on which AI tools were used for what purpose at each stage and how multiple tools were combined. For those who knew there were many AI tools but wondered how they are used in real projects, or those who felt overwhelmed by tool combinations and practical workflows, please take this opportunity to see for yourself which tools were combined and how the actual flow works. We will share everything from the trial and error to the know-how experienced by the NDA AI Studio team, all based on real-life cases.

For brand operators who find it difficult to respond to the daily flood of reviews, If you've ever thought, "Do I really have to read all of these?", This sharing session will be helpful. Review content also needs a brand universe. We will share strategies for constructing consistent response content using your brand's unique language. Review management is marketing that creates fans. Now, turn reviews into opportunities with your own brand universe.

Just how far can AI go? Here is a team that successfully completed everything from event planning and content creation to automation using AI. Attention to those who use Midjourney and GPTs but didn't know "how to actually use them effectively"! From team members who didn't know how to use AI tools at first to those who were skeptical about AI, they managed everything from content production to event operation automation! In this sharing session, various practitioners including marketers, planners, designers, and video producers will reveal every detail of how they applied AI to their actual work.

In this sharing session, Selfish Club NDA AI Studio's AI creators, Yoon and Dani, will draw on their extensive project experience to reveal everything about how to maintain consistency in AI-modeled people and products—a topic everyone is curious about and finds challenging!

This is a tutorial-style Claude code development course that even beginners and those new to development can easily follow. Based on experience teaching offline classes for planners, designers, and non-developers, you can learn everything in a single flow—from basic examples not covered in books to intermediate development projects. Using Claude code, you will experience the step-by-step development process, starting from "Hello World" to a Lucky Draw app, a device-optimized cafe menu management web page integrated with Claude design and Excel data, and finally a SaaS web application that can be uploaded to databases and cloud services. Tutorials are provided in stages of theory, practice, and projects. Through six levels of hands-on exercises, you will master AI-collaborative development methodologies and experience the entire development cycle, including cloud deployment and operation.

This will be the definitive guide to Claude Code. This course dives deep into how and why Claude Code works, teaches you how to directly apply the components of harness engineering, and even dissects actual production code. Take the know-how of a developer with over 10 years of experience and transform into a key talent in the era of AI agents.

AI writes on Slack and Notion for me? Work smarter with MCP, which goes beyond the limits of existing AI!

"Why did the AI write this code?" or "Why can't it remember what I just said?" The frustration you encounter when using AI tools like Claude Code stems from not knowing how the tool actually works. This course flings open that black box. Over 25 lessons, we will build our own Coding Agent from scratch that functions exactly like real-world professional tools—giving the LLM 'eyes' to see files (Read), 'hands' to fix code (Edit), and 'feet' to execute commands (Bash). This isn't just about learning how to use a library. You will gain hands-on experience by implementing code to understand how AI perceives project structures, why it loses its memory during long conversations, and how to solve those issues technically (Sliding Window, Summary). Through this process, you will evolve from being a mere 'user' of AI tools to an 'AI provider' who understands the underlying principles and can customize and evaluate tools to fit your specific needs.

It’s okay if you don’t know how to code. This course focuses on the experience of using AI to build an ad-revenue-generating Android app from scratch and successfully launching it in just one day. Many people stop at these stages: “I built the app, but how do I monetize it?” “I tried adding ads but got stuck on AdMob, policies, and reviews.” “I gave up right before launch because of the privacy policy.” In this course, we will navigate through every "drop-off point": 👉 Idea → App Creation → Ad Integration → Store Launch Essentials → Actual Deployment. We let the AI do the work, and we make the decisions. The goal is to complete an app with a "functioning revenue structure" within a single day.

No coding knowledge required, build your very first service with Google Stitch An all-in-one AI development workflow that connects everything from planning to deployment in a single stream

AI is only as good as you are. Master "Vibe Coding" through a three-step process: AI utilization, foundational core knowledge, and project development. For those who want to learn Vibe Coding properly, we deliver the unchanging core concepts—applicable to any AI—in bite-sized pieces.

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.

If you design the tests first, AI handles the implementation. A practical development approach that captures both speed and quality!

"How to Build a Smart AI Agent in Your Laptop for High-Performance Marketing" From brand analysis to creating ad videos, images, card news, and data analysis all at once! A 15-year veteran marketer from a major corporation will provide the exact blueprints, skills, prompts, MCP integration, and automation scripts of the 'Marketing OS' currently in operation.

This course is a hands-on masterclass that completely conquers the evolution of Diffusion Models through papers and code implementation. You'll learn the core models of generative AI, including DDPM (Denoising Diffusion Probabilistic Model) and DDIM, by studying the paper principles and implementing them directly. We analyze step-by-step the background of each model's emergence, mathematical formulations, network architectures (U-Net, VAE, Transformer), training processes (Noise Schedule, Denoising Step), and the ideas that led to performance improvements. Students will directly code all models using PyTorch, gaining not just paper comprehension but 'practical skills to reproduce and apply' them in real-world scenarios. Additionally, by comparing the differences between models and their developmental flow, you'll clearly understand how they expand and evolve. This course integrates theory, code, and practice into one comprehensive journey, providing researchers, developers, and creators alike with a systematic way to master the evolution of generative models. Beyond simply 'reading' papers, start your experience of 'understanding and recreating' through direct implementation now.

Build a Kiwoom Securities API-based automated stock trading system from scratch using the core features of Claude Code (MCP, Agents, Skills). It's perfectly fine for beginners. Get started with Claude Code right now!

Can you create a service with your ideas even if you don't know how to code? With AI, it is possible! In this course, you will experience the entire process of turning an idea into a real web service using "Vibe Coding" tools used in the industry, such as Gemini, Lovable, Antigravity, Cursor, and Claude Code. You won't just learn how to use the tools; you will master a new way of service development in the AI era—from planning and deploying to integrating payments. Point 1. Master 5 Core Vibe Coding Tools - Hands-on practice with core features and applications of Gemini, Lovable, Antigravity, Cursor, and Claude Code - Understanding the Vibe Coding development method of collaborating with AI Point 2. Building a Real Service Without Coding - Hands-on process of planning and implementing a book recommendation web service - Understanding the entire service creation flow: Idea → Development → Deployment Point 3. Practical Skills for Service Launch and Operation - Understanding domain purchase, server setup, and the deployment process - Learning core operational technologies such as payment module integration and SEO settings

This course is for non-developers who want to learn Claude Code but found the official documentation filled with developer jargon and YouTube tutorials focused only on "vibe coding" (app/web development), making it hard to understand how to apply it to practical business automation. We explain concepts using comics and simple analogies, conduct hands-on practice in a desktop app environment without using the terminal, and demonstrate the entire process from start to finish through three real-world business automation examples: task automation, creating product detail pages, and automating card news, blogs, and short-form content.

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.

Solve the point where 80% get stuck at makeathons. Complete Raspberry Pi · Computer Vision · LLM · 3D Design in 4 weeks! Achieve top rankings at makeathons with a demonstrable smart mirror PoC!

This is a Silicon Valley internship and 30 Big Tech system design & open-source contribution mastery course that ensures job security even in the AI era. In this course, you will design and scale 30 real-world system designs using cases from Big Tech companies such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB and scaling.

"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.

This course is a hands-on masterclass that completely dissects the core technological evolution of generative AI, from LDM (Latent Diffusion Model) to DiT (Diffusion Transformer). We directly analyze the latent space-based learning principles of LDM, the structure of Stable Diffusion, and the implementation methods of the latest Diffusion Transformer through papers and code. Students will systematically learn the latest trends and structural evolution of generative models by directly implementing LDM, CFG (Classifier-Free Guidance), and DiT models using PyTorch.

Which AI tool should I learn first? Stop worrying now! - Rated 4.8 by 80 students ⭐️⭐️⭐️⭐️⭐️ - ChatGPT, Claude, Gemini, Genspark, NotebookLM, Gamma, Skywork, Manus, Antigravity, Claude Code, MiriCanvas, Opal, CapCut, and more - Learn the core features of over 15 tools very easily over 20 days. - Through weekly assignments, we provide a course you can "internalize" rather than just "passively listen to." - All-in-one coverage: Prompt Engineering > Image Generation > PPT & Video Creation > Vibe Coding - 4 hours of lecture videos + weekly study materials + assignment certification system