The Skill That Earned 10 Times a Monthly Salary Through Vibe Coding and OpenClaw

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.

I've captured 7 years of journey and know-how that led me to earn 2-7 times my monthly salary through 350 apps. Now it's your turn to be the protagonist.

It doesn't stop at just following along with an example game. You will learn the entire process based on an actual release project—from game planning and development to mobile builds, AdMob ad integration, and registration on One Store, Google Play, and the App Store—all through ChatGPT and Codex-based Vibe Coding.

This is a process of utilizing AI coding tools without blindly trusting them, verifying results, understanding structures, and completing actual services. Instead of memorizing syntax, you will learn through project-based work, gaining experience from error resolution to deployment to build your portfolio. Even with no prior development experience, you can develop judgment skills through collaboration with AI and acquire a sense of practical teamwork.

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.

Design a modern 3-tier web service with AI and develop it using only "Vibe Coding," then deploy it to an AWS environment to complete a fully functional production service! We have included the entire sequence of configuration processes so you can experience core AWS services used in the industry—such as Amplify, CloudFront, ALB, EC2, S3, and RDS—in a single workflow.

Even if you don't know coding, full-stack development, or Rails development, you can build a complex platform like Inflearn. Use Windsurf, Cursor, and Claude Code.

We will show you how Java backend developers using IntelliJ can maximize their productivity with Claude Code. In particular, we help you perfectly resolve the vibe coding environment issues faced by those using Windows environments.

The lecture explains why the harness is more important than the model through the Claude Code architecture. It covers how to design the Claude Code task system using six structures: Context Harness, Permission Harness, Verification Harness, Tool Harness, Subagent & Worktree Harness, and Debugging Harness. Afterward, it connects these concepts to CLAUDE.md, session management, large codebase control, worktree parallel operations, error log analysis, and tracking environment variables and configuration scope issues, establishing the standards for continuously using Claude Code in practical backend and DevOps workflows.

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 invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

The time when your imagination becomes reality—we invite you to the world of 'Vibe Coding.' We have prepared this lecture for those of you who "don't know coding, but know exactly what you want to create." With the emergence of AI like ChatGPT and Claude, people say anyone can develop. But what happens when you actually try? - "It writes simple code well, but as the number of files increases, the AI forgets the previous context." - "It looks plausible, but it throws errors when executed, and when I ask to fix it, it gives even weirder code." You’ve likely had this experience at least once. I also experienced the same frustration when I first collaborated with AI. AI was an excellent 'assistant,' but it had limitations in seeing the big picture. However, after discovering the OpenAI Codex CLI and mastering a new method called 'Vibe Coding,' my development process changed completely. This lecture will solve the problems you are facing and transform you from a coder into a director who commands AI agents. Equip yourself with the powerful tool called Codex CLI and join me on an exhilarating journey of Vibe Coding to turn your imagination into reality.

No coding knowledge needed! This lecture shows how anyone can easily create a website using AI tools 'Cursor' and 'Vibecoding'. Follow 2 practical examples to build a real-world website with just clicks, and even learn to deploy it.

This is Korea's first free lecture covering how to utilize 'On-Device Vibe Coding' agents that are 100% free, offer unlimited tokens, and provide perfect security. We will build an on-device development agent that integrates Codex + Ollama + Open Source LLMs to overcome the limitations of cloud-based vibe coding tools, such as frequent token limit interruptions, rising subscription fees, and concerns over source code leaks.

Your colleagues are already using Claude Code for their work—are you still doing everything manually? Don't worry! This course will turn you into a vibe coding master.

Using generative AI tools such as ChatGPT and Claude, you will turn ideas into actual web services and experience the entire development and operations process in a single project—from Docker containerization and server deployment to domain connection, HTTPS implementation, and CI/CD setup. Rather than simply generating code, you will develop practical skills by completing and maintaining a service that real users can access.

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.

Now your imagination becomes the ultimate game design document! With AI, you can have fun chatting as if you were building with LEGO and complete your first game. Try Google Gemini Pro for free!

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.

Learn a practical web production workflow that can be applied immediately in the field—from homepages, landing pages, and interactive websites to AI Agent-based CMS—using AI image/video generation tools and Vibe Coding. This course is not just about creating a single screen with AI. It covers the process of generating images and videos using the latest AI tools such as OpenAI Images 2.0, Kling, and Higgsfield, and utilizing them as hero images, background videos, transition videos, and interaction assets for actual websites. Based on Next.js, you will step-by-step implement cinematic landing pages, game-like interactive homepages, inquiry pages, and blog content pages, mastering structures and workflows that professionals can refer to immediately when creating homepages or landing pages. In particular, this course does not stick solely to traditional admin-page-style CMS. You will implement an AI Agent-based CMS structure where AI Agents like Codex and Claude Code organize content and image assets based on predefined skills and upload rules, then upload them to Neon DB and Vercel Blob Store. In other words, instead of an administrator manually entering data into forms one by one, you will experience an operational method where you provide blog topics, reference materials, and image assets, and the AI Agent organizes the content structure and uploads it in a consistent format. Later, this structure can be further enhanced into traditional admin pages, approval workflows, or automation pipelines as needed. Furthermore, it doesn't end with production; we will prepare elements necessary for actual operation, including Vercel deployment, GoDaddy domain connection, SEO meta tags, favicons, OG images, sitemaps, and robots.txt settings. The course also covers the process of registering sites and verifying ownership on Google Search Console, Bing Webmaster Tools, and Naver Search Advisor, as well as setting up Google Analytics and Google Tag Manager to track visitor data. By the end of the course, you will be able to independently reproduce a professional web production workflow that spans AI-driven planning, image/video asset creation, Next.js implementation, SEO optimization, deployment, search engine registration, analytics tool setup, and AI Agent-based content operation.