The Complete Guide to Claude Code: From Basics to Service Deployment

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.

💸 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!

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.

How to Finish, Not Just How to Get Things Done. This course is for those who have tried having AI do things for them but feel overwhelmed about where to start with their own projects. You’ll learn a workflow where you define the intent first, leave implementation and verification to AI, and use the result yourself before making a judgment. You’ll complete a deployment together once using a feedme clone and once independently with your own idea, learning your own way of working.

AI is only as good as you are. Learn vibe coding properly in three steps: how to use AI → essential foundational knowledge → project development. For those who want to learn vibe coding the right way, we deliver the core concepts that remain unchanged regardless of which AI you use, broken down into bite-sized pieces.

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.

We're building an AI-powered video conferencing application with real-time AI agents, meeting summary features, and post-call functionality.

The perfect choice for Vibe Coding beginners, 'Antigravity'. Even without coding knowledge, you can create, deploy, and monetize AI web services through 3 hands-on projects. ✔️ Create 3 web apps without coding ✔️ Vercel deployment practice ✔️ Understand Google AdSense monetization structure

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!

If you follow OpenClaw Parts 1 and 2, you eventually end up making a single agent do everything. As you do this, there comes a moment when prompts get tangled, memory gets mixed up, folders get messy, and you feel stuck, not knowing how to organize things anymore. This lecture is the "Introduction to Multi-Agents (Part 2.5)," designed to help you move one step further from that point. While maintaining a single bot, we will separate roles into two agents—planner and editor—and connect each agent to different workspaces and Telegram forum topics. You will personally build a structure where "different agents respond depending on which room you speak in." By following the hands-on practice, you will have the following in your environment: - A configuration file defining two agents: `content_planner` and `content_editor`, - A content folder structure where planning and drafting are separated, - A Telegram group chat where different agents are attached to specific forum topics, - And one actual draft of an Inflearn course introduction created through the collaboration of the two agents. In short, this is a practical class that helps you design the first step of upgrading your Telegram bot from a "single AI assistant" into a "small AI team with divided roles."

Based on hospital and plastic surgery website development projects that repeatedly appear in the actual outsourcing market, this course is designed to help you build a practical website and admin system that can actually win contracts, rather than just simple examples. This course doesn't just end with making a website. Using AI coding tools and Next.js, you will complete a hospital website mockup project and use it as a portfolio on actual outsourcing platforms to learn the entire process—from selecting projects, proposing, and bidding to writing quotes. The following will be implemented based on Next.js: - Hospital and plastic surgery website development - Building main pages and service detail pages - Building an Admin CMS - Blog content management - Consultation inquiry system - Attachment upload and inquiry response structure - Login and permission handling - Admin pages and RBAC structure - Multi-language support - SEO optimization - Sitemap, RSS, OG image, and favicon configuration - GA4 & GTM setup - Deployment, domain, and subdomain integration - Maintainable project structure Furthermore, it doesn't just explain development: - How the hospital outsourcing market works - Which hospital website projects you should choose - What customers actually consider important - Why hospital websites are constantly being renewed - How to create mockup projects that help win contracts - How to apply and bid on outsourcing platforms - What criteria to use when writing quotes - How to register and showcase your portfolio - What problems frequently occur during outsourcing - How to design for maintenance and additional development We share these types of realistic, practical experiences. The goal of this course is not to complete a simple CRUD example. It is to experience the entire flow of a practical project—creating a hospital website portfolio that can actually be used for outsourcing proposals, presenting a structure and quote that is convincing to customers, and considering delivery and maintenance. This is a practical full-course lecture for those who want to increase development speed using AI coding while simultaneously raising the quality of the output and the possibility of winning outsourcing contracts.

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

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.

Latest version as of October 2026. This is a 299-lesson course created by YouTube’s “AI Adjunct Professor Lee Jong-beom” (54,000 subscribers). It guides you step by step, starting with how to open a browser tab and progressing to creating an AI employee team with Claude Code. It includes approximately 290 practice worksheets and 1,000 credits.

Learn how to efficiently manage multiple AI coding agents, including Claude Code, Codex, and pi, from a single screen. Starting with tmux concepts, you’ll practice using Herdr’s sessions, panes, plugins, and CLI to build an agent workflow that keeps your work running even when your SSH connection is interrupted. Complete the essential development environment for the Agent era in just one day.

🔥 This is a practical full-stack course where you implement the entire journey a student experiences, from browsing lectures to payment and deployment. You will build everything yourself—including lecture search, detail pages, enrollment, video playback, reviews and Q&A, shopping carts, actual payments, "continue watching" features, and Docker + AWS deployment—to master user flows and architectural design close to real-world services and complete a high-level full-stack experience.

Core Principles of n8n Automation and Workflow Design Basics for Non-Majors 5-Step Automation Built with n8n: API Connection Practice from Topic Input to Video Completion How to Automatically Create Videos in n8n Using AI APIs (ChatGPT, ElevenLabs, Creatomate)

Learn how to ask ChatGPT for the results you want and verify the sources and outcomes of the materials. This is a 70-session course that begins with hands-on practice in documents, data, and writing, then progressively expands to the OpenAI API, RAG, agents, evaluation, and operations.

This is an introductory course for those using Claude Code for the first time. You won’t do the coding yourself—Claude writes both the code and the configuration files. Starting with creating a psychological test in the browser, you’ll build a household budget using card transaction records, create an escape room game, and make a travel itinerary that connects to external services like Google Calendar and Notion. Since you learn each feature as it becomes necessary, you’ll also understand why that feature is needed.

Let's create a service that improves itself even while you sleep! Learn step-by-step how to build a 24-hour vibe coding system using loop engineering with Codex.