Building a Fire Detection System with Next.js and YOLOv11

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.

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.

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.

With v0, cursor AI, and various LLMs, from PRD to AI product recommendations! Complete your Next.js shopping mall through a practical project.

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.

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.

Are you having trouble integrating payments for your web service? Quickly apply payments to your service with Django and Import.

Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.

The reason I created this course is one. It's due to the desire to "help non-majors like myself realize their ideas."

A course on Next.js fundamentals. Develop a map service end-to-end with Next.js.

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.

We implement the latest Transformer-based PixArt and lightweight adaptation SANA step by step from theory to code. Building on DDPM·DDIM·LDM·DiT covered in Parts I·II, we complete hands-on practice including text encoder integration, samplers (DDIM/ODE), v-prediction/CFG tuning, and small-scale data style fine-tuning.

The Next.js framework that you must know when starting React. Easy explanations from the perspective of beginners and in-depth understanding of the operating principles that satisfy practitioners. Solve Next.js in one go.

You will learn how to develop data/machine learning web applications through 5 practical projects. You can easily and quickly build and deploy web applications with Python and Streamlit. (Updated in June 2025)

When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!

This course will help you become a deep learning-based computer vision expert who is needed in the field by providing a deep theoretical explanation of object detection and segmentation and practical examples that can be used immediately in the field.

This course starts with the question "If I had been on the Titanic, could I have survived?" and completes a full-stack project that develops an AI model to predict survival probability based on actual data and serves it as a web service. You'll practice the entire process of AI and web development, from deep learning modeling using PyTorch, building a backend server with FastAPI, to implementing a user interface with Next.js.

No coding knowledge needed! Turn your idea into real revenue in just 4 weeks. Using AI and the latest tools, create both a website and app simultaneously and connect them directly to services.

No more toy projects! We're revealing all the secrets to building a secure authentication system with JWT and Redis, actually used by developers in the field.

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

In this course, you will practice step-by-step using React and FastAPI to implement social features like real-time voting, comments, and likes, as well as integrating payment systems (KakaoPay, TossPay, etc.) for monetization.

Learn the differences between React and Next.js by migrating from React to Next.js 14. You will gain a deeper understanding of Next.js!

Still lost on CNN even after studying it? I'll concisely explain CNN's core mechanics.

This is a lecture on creating a map service from start to finish using the MERN stack (feat. TypeScript). Let's create each part step by step by looking at the official API documentation.

Explore → Plan → Implement → Commit. Master the proven AI development workflow with Claude Code. Learn through 23 missions covering MCP, sub-agents, and prompt engineering, and complete 3 real-world projects.

The goal is to learn complex GPT API and Python in the easiest and most hands-on way possible. Using the latest ChatGPT API, we'll develop a YouTube video summarization AI and implement it as a web application using Streamlit.