Agentic (Modular) RAG with LangGraph Version 1: From Basics to Advanced

🧩 Rather than focusing on complex formulas or theory-centric explanations, the goal is to learn the core concepts of recommendation systems by directly implementing programs. 🛠️ Through a total of 12 diverse and practical examples, we have progressively designed recommendation systems that can be utilized in real-world environments, including content-based recommendation, collaborative filtering, and deep learning recommendation.

This course is a practice-oriented program that goes beyond simple chatbots to build multi-agent systems where multiple agents collaborate. 👉 You will learn three frameworks—Swarm, LangGraph, and DeepAgents—step-by-step, completing six practical projects including a customer support chatbot, blog content creation, a PostgreSQL query agent, and an autonomous research agent. 👉 By implementing enterprise-grade features such as long-term memory using Redis and PostgreSQL, Human-in-the-loop security mechanisms, and cost monitoring, you will be able to build production-level systems that can be applied to real-world services immediately after the course.

This course covers the entire process of evolving ChatGPT from a simple conversational AI into an intelligent AI Agent that performs real-world tasks. By utilizing the three core frameworks—LangChain, LangGraph, and LangSmith—you will build AI Agents that can be used immediately in practice.

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.

Document → Code Automation. Stop typing prompts and let the system do the work. Build your own AI development agent with Skills, Sub-agents, and Commands, and complete monetization services through 5 real-world projects.

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

Stop paying developers a fortune to bring your ideas to life—now, do it yourself! Even if you know absolutely nothing about coding, you can communicate with AI through 'vibes' to build two real, revenue-generating web services with your own hands in just 7 hours.

It’s okay if you don’t know how to code. This course focuses on the experience of using AI to build an ad-revenue-generating Android app from scratch and successfully launching it in just one day. Many people stop at these stages: “I built the app, but how do I monetize it?” “I tried adding ads but got stuck on AdMob, policies, and reviews.” “I gave up right before launch because of the privacy policy.” In this course, we will navigate through every "drop-off point": 👉 Idea → App Creation → Ad Integration → Store Launch Essentials → Actual Deployment. We let the AI do the work, and we make the decisions. The goal is to complete an app with a "functioning revenue structure" within a single day.

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.

Still coding alone? We're now in an era where AI handles 99% of the work for you. Instead of memorizing complex syntax, this course teaches you how to turn Google's powerful AI 'Gemini Pro' into your 24/7 AI development partner. Learn the fundamental principles of Flutter using the paid Gemini Pro model for free, and turn your ideas into reality through professional-level projects.

Stop worrying about the dev team - I'll build it myself now! This course helps professionals in planning, marketing, sales, and other practical roles implement core web service features on their own using AI tools, without needing developer assistance.

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.

In an era where AI writes code for you, will you remain a 'Coder' or leap forward to become an 'Architect'? This course is designed for junior developers who can handle basic implementation but feel stuck about the next steps or are anxious about falling into the trap of 'fake experience'. We aim to go beyond simply learning clean architecture theory and turn Robert C. Martin's (Uncle Bob) high-level design principles into weapons for the AI era.

No more AI courses filled with just theory. A current CEO who won the KT AI Excellence Award will teach you everything from text to video and game creation - 'practical secrets you can learn today and see results tomorrow.' Achieved 16.4 million won in Wadiz funding! The course that hundreds were enthusiastic about. We'll spoon-feed you the 'real practical' generative AI cheat codes that even non-majors can use to create web novels and videos right away. From planning to high-quality video production, learn how to finish with AI in a snap what would take a week if you hired an expert. We reveal the fastest route to creating results without trial and error.

A course chosen by 3,000 students! Updated to GPT-5 version! How far can you go with ChatGPT? Create automated stock trading applications and web investment reports!

The first publicly released ChatGPT open source GPT-OSS - Get a taste of it faster than anyone else. Learn what GPT-OSS is and run it locally to create an overwhelming advantage with GPT-OSS faster than anyone else!

"Work automation... isn't that something only developers do?" "Even if I take an automation course, won't it be difficult without development knowledge?" No, it's not. Even if you aren't a developer and have zero development knowledge, you can apply work automation to your actual tasks. This course was created by me—someone who started as a complete beginner with no coding knowledge—for other complete beginners. Even if you are currently at a level where you've only tried asking questions to AI, you can fully understand and follow along. We will directly build automation cases actually used in the workplace, such as receiving daily automated summary reports of insightful articles and automatically detecting and announcing company anniversaries. Through this process, you will understand the 'methods of work automation' and gradually level up to build your own automation systems. Complete your first automation that can be applied to your work immediately in this course.

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

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

LLM: A pro quickly delivers core content, from essentials to practical tips!

Silicon Valley Internship and 30 Big Tech System Design & Open Source Practical Contribution Completion Course that survives even in the AI era. All students who submit their missions can apply for an internship at a local AI startup in Palo Alto, USA, and will be granted an interview opportunity with a document screening waiver. This course involves designing and scaling 30 practical system designs based on Big Tech cases such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB to scaling, and complete your portfolio and resume by contributing to an actual operational open-source AI coding agent project (which has achieved 8.6K+ cumulative downloads).

A course to truly make you a hands-on game developer. Push your limits with 4 hands-on projects and 3 AI-specialized games!