Creating a Chat GPT based on Next.js App router

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

From development to distribution! We will show you the arduous journey to complete a single service without filtering. You will be able to overcome the difficulties and difficulties by introducing a lot of new technologies!

"Why did the AI write this code?" or "Why can't it remember what I just said?" The frustration you encounter when using AI tools like Claude Code stems from not knowing how the tool actually works. This course flings open that black box. Over 25 lessons, we will build our own Coding Agent from scratch that functions exactly like real-world professional tools—giving the LLM 'eyes' to see files (Read), 'hands' to fix code (Edit), and 'feet' to execute commands (Bash). This isn't just about learning how to use a library. You will gain hands-on experience by implementing code to understand how AI perceives project structures, why it loses its memory during long conversations, and how to solve those issues technically (Sliding Window, Summary). Through this process, you will evolve from being a mere 'user' of AI tools to an 'AI provider' who understands the underlying principles and can customize and evaluate tools to fit your specific needs.

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

Get familiar with Next.js by creating a personal blog with Next.js!

Traditional React development and Next.js development are completely different approaches. This course penetrates the core of the latest Next.js 16 and teaches you the 'real' Next.js way of development. Experience how to achieve both performance and efficiency, from job portfolio projects to real-world projects. Let's develop the Next.js way! The course is structured to help you learn by doing, creating actual examples to understand how to apply Next.js features. You'll learn faster through actual code rather than theory, focusing on Server Components and covering Server Actions and caching strategies. Since the goal of the course is to catch up with the Next.js vibe as quickly as possible, the lectures are conducted using JavaScript. However, each lecture's examples are additionally provided as course materials created in TypeScript. December 18, 2025 - Updated to Next.js 16

If you want to understand TypeScript properly, you should read the official documentation at least once, right? This lecture will convey only the important parts of the documentation in an easy-to-understand manner, and also teach you the content you need in practice!

The Next.js 15 App Router is a powerful architecture for building high-performance web services by perfectly controlling the boundary between server and client. This course clearly connects complex rendering mechanisms—from the operating principles of React Server Components (RSC) to the three major caching strategies (Static, Dynamic, and ISR)—through 12 practical missions. Through this, you will gain the ability to design file-system routing and nested layouts according to business requirements, completely breaking free from the anxiety of "vibe coding" where you copy code without understanding the principles. Ultimately, you will evolve into a Next.js architect who can instantly spot the blind spots in AI-generated code and proactively direct the optimal structure.

In this course, you will learn how to create a chat application using React and Firebase.

You can learn the core concepts of complex Next.js in a short time. We'll teach you only the essential practical knowledge for those learning Next.js for the first time. Captain Pangyo's new Next.js course, who has been conducting framework courses for 8 years. You can learn the coding and learning methods of "Frontend Developers in the AI Era"! 😊

🔥 This is a practical full-stack course where you will implement the knowledge-sharer features from scratch, from course registration to video uploading. Using Next.js 15 and NestJS, you will follow the actual Inflearn workflow—creating courses, organizing curriculums, uploading thumbnails and videos, and writing detailed descriptions—while gaining hands-on experience in Prisma modeling, JWT authentication, S3 + CloudFront uploading, and Swagger API design.

This is a course to learn the concepts and usage methods of the LangChain library, and to build your own ChatGPT using the LangChain library.

Master Claude Code from the basics to a professional level. Learn core features (CLAUDE.md, sub-agents, MCP, Hooks, etc.) to develop and deploy actual services, concluding with basic appendices for non-majors and advanced application lectures.

I share basic background knowledge and development experience for LLM Application development.

Create a program using the GPT API, and even generate images and videos!

Done in a single line of command. Hermes, the AI agent that remembers, automates, and grows on its own. Even if you are not a developer, you can become someone who 'delegates' work to AI starting today. SMARTFORK will be with you from installation to practical application.

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.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

How long are you going to manually look through 2,500 stocks every day? Searching through Naver Finance to find surging stocks after the market closes, Reading news to judge whether it's good or bad news, Checking foreign/institutional supply and demand one by one, Opening charts to analyze patterns... Aren't you repeating this every single day? I used to do that too. I spent 2 to 3 hours after work analyzing stocks, and yet I still missed more stocks than I found. With over 2,500 stocks across KOSPI and KOSDAQ combined, it's impossible for a human to see them all every day. --- So, I built a system. I created a system that automatically analyzes 2,500 stocks every day after the market closes. - Automatically collects market prices, supply/demand, and news - AI (Gemini) reads the news and determines if it's positive or negative - Scores stocks out of 15 points based on 6 factors - Selects only the stocks that pass the criteria and calculates entry, stop-loss, and take-profit prices - Sends notifications via Telegram Now, I just check my phone after work. Additionally, every Saturday, the system analyzes its own performance from the past week and automatically adjusts stop-loss lines, take-profit lines, and holding periods. It is a structure where the system learns and improves on its own. --- But I am not a developer. I didn't write the code for this system myself. I gave all the instructions to the AI verbally. "Filter out stocks that rose more than 5% today with a trading volume exceeding 50 billion won." "Send these 3 news articles to Gemini and have it judge if they are positive." "Create a scheduler so this runs automatically every day at 4 PM." When I speak like this, the AI (Claude) generates the code. This is "Vibe Coding." --- In this course, we will build this exact system. Over 58 lessons, we will build the system I actually use every day from start to finish. Starting from data collection, AI news analysis, scoring engine, signal generation, Flask API server, Next.js web dashboard, Telegram automatic notifications, and even the self-learning system. The final product is not a Jupyter Notebook. The final product is a web dashboard and Telegram notifications that actually run every day. You don't need to know how to code. In every lesson, I will show you how to talk to Claude, and if you follow along, you will get the same results. --- Recommended for: - Office worker investors who lack the time to analyze stocks every day - Those who want an automated system but don't know how to code - Those curious about quant/system trading but don't know where to start - Those curious about how to utilize AI in practice --- ⚠️ This course does not guarantee investment returns. This is a programming course on building your own stock analysis tools. Actual investment decisions are the responsibility of the student.

In this course, you will learn about TypeScript.