From Planning to Development with AI! LLM-Driven Next.js Shopping Mall Creation

You don’t need to know how to code. Once you learn how to “give the right instructions” to AI tools like Claude and Codex, you can create everything yourself—from cinematic websites and motion-graphics promotional videos to AI short dramas, ads, and even podcasts made with your own voice. You’ll receive more than 20 ready-to-use kits containing projects that are actually being created and used, and we’ll show you the entire process exactly as it appears on screen: handing the folder over to AI and converting it to your brand → fixing only the parts you want with a single screenshot → completing Vercel deployment and domain connection. Recorded in October 2026 using the latest AI tools (Claude Opus 5.5 · GPT-6.1 · Grok Build), this course focuses on workflows that continue to work even when the models change.

This course is not just simple clone coding or a basic tutorial. By implementing an LMS (Learning Management System) platform like Inflearn from start to finish at an MVP level, it provides an all-in-one solution that freelancers, solo developers, and early-stage startup members can immediately apply in real-world projects. We cover the entire tech stack used in actual production environments at once: Next.js, Flutter, Supabase, Firebase (FCM), AWS, Vercel, Xcode, Android Studio, ElevenLabs, and Toss Payments. You'll experience the complete process of simultaneously developing web and mobile apps, including social login, automatic multilingual dubbing, HLS streaming-based lecture playback, payment integration, and deployment to the App Store and Play Store. This course focuses on the important workflows, configurations, and deployment processes that matter in real-world development, rather than detailed line-by-line coding. Therefore, it's suitable for developers looking to become independent freelancers, teams that need to quickly validate MVPs at startups, and junior developers who want to experience the full scope of real-world development.

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.

This course is based on hospital and plastic surgery clinic website projects that repeatedly appear in the actual outsourcing market. Rather than simple examples, you will directly build practical websites and admin systems that can be used to win real projects. (Added an introduction to bidding on the Korean Public Procurement Service’s KONEPS in 2026-10) This course does not end with simply creating a website. Using AI coding tools and Next.js, you will complete a hospital website mockup project and learn the entire process of using it as a portfolio on real outsourcing platforms: selecting projects, submitting proposals, bidding, and preparing estimates. Using Next.js, you will implement the following: - Hospital and plastic surgery clinic website development - Main page and service detail page development - Admin CMS development - Blog content management - Consultation inquiry system - File attachment uploads and inquiry response structure - Login and permission handling - Admin pages and RBAC structure - Multilingual support - SEO optimization - Sitemap, RSS, OG image, and favicon configuration - GA4 & GTM setup - Deployment, domain, and subdomain integration - A maintainable project structure The course also covers more than development alone. - How the hospital outsourcing market works - What types of hospital website projects you should choose - What clients actually consider important - Why hospital websites are continuously redesigned - How to create mockup projects that help you win contracts - How to apply and bid on outsourcing platforms - What criteria to use when preparing estimates - How to register and present your portfolio - What problems commonly arise during outsourcing projects - How to design maintenance and additional development We will also share realistic, hands-on experience in these areas. The goal of this course is not simply to complete a CRUD example. You will create a hospital website portfolio that can actually be used in outsourcing proposals, present structures and estimates that clients can understand and accept, and experience the entire workflow of a practical project, including delivery and maintenance. This is a practical, full-course program for those who want to increase their development speed using AI coding while also improving the quality of their work and their chances of winning outsourcing projects.

This course is not about "Let's build something amazing with the latest technology," but rather the most practical web development beginner course that makes you feel "You can build it yourself with just a little knowledge." We'll create the basic structure with HTML and JavaScript, exchange data using Node.js and SQLite, and complete a simple web page with Next.js. We minimize complex configurations and difficult theories, and focus on getting a hands-on feel for web development flow by writing code that actually works. This course centers on 'hands-on experience' rather than just 'learning.' If you've touched code even a little bit, anyone can follow along and feel the satisfaction of completion.

Complete a company introduction landing page with hands-on vibe coding. Using Cursor AI + Next.js + TypeScript + TailwindCSS + shadcn/ui + MCP stack, proceed from design to deployment all at once. The key is "fast implementation + SEO foundation that performs well in search engines." 🏁 Course Objectives Landing creation → Performance optimization → SEO implementation → Deployment/Indexing Real-time coding (vibe coding) to immediately check completed sections Direct experience including search indexing 🛠️ Practice Stack Cursor AI, Next.js(App Router), TypeScript TailwindCSS, shadcn/ui, MCP workflow 🔍 SEO Practice Apply SEO optimization MD files provided by instructor Metadata, OG/Twitter cards, robots/sitemap, structured data (JSON-LD) Optional multilingual routing implementation 🎯 Final Product Responsive company introduction landing + contact form Target Lighthouse 95+ Vercel deployment followed by Search Console registration and indexing request 📚 What You'll Learn from This Course How to quickly compose hero/trust/features/FAQ sections Clean UI composition with shadcn/ui Form validation and basic conversion tracking point design Boosting SEO scores with structured data + multilingual routing Understanding the indexing process through Search Console after deployment 💡 Industry Insights (Course Bonus) Beyond just code implementation, we'll briefly cover marketing and exposure methods actually used in the real market. Realistic pricing ranges for advertising, blog posting, and comment work How outsourcing and contracting companies actually proceed with SEO and exposure work Cost/efficiency differences between direct developer participation and outsourcing Through this section, you can develop a sense of how technology is actually utilized in real industry work and what cost structures drive it, beyond just the technical aspects. One-Line Summary Following the flow of "implementation → optimization → deployment → indexing," learn the web creation process that connects to actual search exposure and real industry market structures.

This is a practical project course on running Whisper locally and quickly developing an AI speech recognition app using FastAPI and Next.js. You'll implement real-time speech recognition and complete a project that can be used as a simple portfolio piece in a short amount of time.

A full course on Next.js you can sink your teeth into! Complete a real-world project using the latest technologies such as GraphQL, Redis, RabbitMQ, Prisma, TailwindCSS, Docker Compose, Cypress, Prometheus, and Grafana, and experience both the App Router and Page Router.

Learn how to build a real-time fire detection system using Next.js, YOLOv11, and FastAPI.

A full course of hands-on Next.js! Complete a real-world project with the latest technologies such as GraphQL, Redis, RabbitMQ, Prisma, TailwindCSS, Docker Compose, Cypress, Prometheus, and Grafana, and experience both the App Router and Page Router.

This is an introductory course to the front end using Next.js and Tailwind CSS. It is designed to complete static deployment without a backend, so even beginners can experience the satisfaction of completion.