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

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.

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

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 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.

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.

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.

🔥 This is a practical full-stack course where you will directly implement the entire process a student experiences, from course enrollment to payment and deployment. By building everything yourself, including course exploration, detail pages, course registration, video viewing, reviews and questions, shopping cart and actual payment, continue watching, and Docker + AWS deployment, you will learn user flows and structural design similar to real services and complete an an advanced full-stack experience.

🔥 This is a practical full-stack course that implements the knowledge sharer functionality exactly as is, from course registration to video upload. Using Next.js 15 and NestJS, you will build along the actual Inflearn flow, covering course creation, curriculum setup, thumbnail and video upload, and detailed introduction writing. You will gain practical, real-world experience, including Prisma modeling, JWT authentication, S3 + CloudFront upload, and Swagger API design.

No more waiting on the dev team, I'll build it myself! This course helps practical staff (e.g., in planning, marketing, sales) to directly implement core web service functions using AI tools, without developer assistance.

We will directly build a real-world trading bot that runs automatically 24/7, utilizing GPT and Bitget API. Based on direct work experience as a key individual at a major exchange, I will also pass on hidden insights and practical tips that developers who only focus on coding are often unaware of.

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.

We will learn about the overall process of website development and deployment through generative AI (Chat GPT, Cursor AI).

Have you never coded before? Or are you already skilled? If your self-made game is on your self-made homepage, isn't that cool? We prepared this course for such people.

My 14-day use, starting right after release: Claude Code! (AI Coding) - Immediately applicable to job seekers and pros! I'll tell you right away why I recommend it to everyone.

"Are you still studying with coding books?" A course, rated 5.0/5.0 by MBA and business undergrads at a London management university. You can take AI data analysis lectures from home. Even for humanities-background non-majors: practical data analysis skills immediately usable in the field, plus a data analysis portfolio for job search completion. I am a British Professor (British Professor) teaching data analysis and project classes with ChatGPT, no coding knowledge required.

I created 3 services in 3 months conversing with AI. Without needing developers or coding, build practical web services with AI.

From theory to practice. You can learn the entire web development process by deploying your self-developed website to the cloud.

A course to learn the latest Node.js backend REST API using fastify, a Node.js framework boasting high speed, ORM Prisma, and Typescript.

We will complete one full cycle of a backend service using Spring Boot, MySQL, Docker, AWS EC2, and RDS. Gain a sense of accomplishment through application deployment, and cover issues server developers face in real-world API development and their solutions.

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. Practice setting up a stable operating environment including Contabo VPS-based server installation, Ubuntu, Docker, and Portainer environment setup, domain connection, and HTTPS security configuration. Covers search API and file server development using FastAPI and Docker, Airtable and n8n integration, blog AI agent construction, and image/video automation. You can complete profitable automation strategies that can be directly applied to actual service operations.

Simply by entering a US company ticker, this system automatically collects financial accounting data, competitor analysis, recent news, and stock price information, then performs in-depth analysis using the OpenAI GPT API to generate professional investment reports. The final results are automatically uploaded to Notion. By learning fundamental financial accounting concepts and terminology, even engineers can utilize this for competitor benchmarking, persuading supervisors, and planning new solutions. Build high-performance API servers with Python and FastAPI while learning asynchronous programming, AI integration, and practical fintech skills. Even beginners can easily follow along to complete a system applicable to real investment and business scenarios, helping them grow into developers suited for the AI era.

[Update 2025.04] Enhance your Kubernetes skills cost-effectively with theory and practice. Through this course, you too can easily jump on the bandwagon.

Terraform, the king of infrastructure-as-code (IaC) at this point! Let's complete automatic deployment using Github Action on Azure server.

The first publicly released ChatGPT open source GPT-OSS - getting a taste of it faster than anyone else. Find out what GPT-OSS is and run it locally to create an ultra-gap with GPT-OSS faster than anyone else.

Docker, a technology stack used by over 20 million developers worldwide! We'll study Docker and container concepts, which have become essential technology stacks for countless developers, by following the official documentation! I think you might have been intimidated before even starting when looking at the technical documents available in the market, especially those thick Docker books. This course is based on Docker's official documentation, highlighting core content with a solid curriculum focused on hands-on practice. I can promise that you'll learn through practical exercises and quickly apply what you learn in real-world situations! After completing the course, you'll be able to use Docker in various practical ways!

Let's create an AI chatbot service like chat gpt using Nextjs 14 version App router and vercel's ai/sdk.