The era of simply receiving code "suggestions" is over. I will clearly and simply introduce you to Google Antigravity, a next-generation agent development platform where AI agents directly control the editor, terminal, and browser to plan, execute, and verify complex software tasks.

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.

An AI study system that increases learning efficiency by 400% with just a 1-hour investment. Proven by achieving a perfect 4.5 GPA and ranking top of the class for 5 consecutive semesters with only 1–2 hours of study per week.

"AWS deployment tutorials - have you ever followed them without knowing 'why' you're doing it?" If you've launched services by following the countless deployment tutorials on the internet but are only performing repetitive tasks, the next step of designing entire systems might feel overwhelming. We don't just learn how to use AWS, but study the CS (Computer Science) principles that form the foundation of cloud services, including VPC, NAT, load balancing, and MSA. Upon completing the course, you'll be able to answer the clear 'Why' behind each action you perform in the cloud. You'll no longer be a junior developer performing simple repetitive tasks, but will take your first step toward becoming a senior architect who designs fault-tolerant and scalable systems.

Build barrier-free work experience through AI zero-capital entrepreneurship in just 2 weeks

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

Have you ever regretted focusing only on notes instead of making eye contact, or failing to accurately record meeting details after an important client meeting? Don't worry anymore! In this lecture, we'll help you build your own CRM assistant using Vibe Coding to summarize key information with AI and neatly save meeting content. You'll learn how to drastically reduce cumbersome document creation time, maximize work productivity, and revolutionize customer management!

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

Starting from a blank starter app, you will build a fully functional investment analysis workflow by manually adding 65 nodes, covering stock filtering, VCP pattern analysis, supply and demand tracking, backtesting, AI commentary, and Telegram notifications. This is a hands-on course where you will connect AI-generated code to actual app functions and complete your own analysis pipeline that covers both the Korean and US markets.

Stop copy-pasting code! 🙅‍♂️ This is a "real" conceptual lecture that dives deep into everything from how agents work to their architecture and design philosophy. Beyond just learning how to build them, I will help you develop an eye for designing entire systems. Build a solid foundation here that remains unshakable amidst the technology trends of 2026! 🧠✨

This is an introductory course where you can experience the entire project workflow from idea to deployment using OpenAI Codex. Instead of complex development theories, you will follow actual work processes to gain practical experience in how AI agents generate files, build websites, and deploy them. Even non-developers can master a new way of working by completing projects with AI agents.

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

This is a practical web development project course where you complete everything from planning and design to implementation and deployment using generative AI. You will create designs using Stitch and Figma Make, generate code with AI Studio, and deploy them as actual services. Even if you don't know much about coding, you will learn how to develop alongside AI and complete your own AI web app. Now, you too can become a developer who collaborates with AI.

This course is for those who don't know much about development but want to start "vibe coding," and for those who want to personally create a landing page to promote their own business (restaurant, cafe, etc.) or service (lawyer, accountant, hospital, etc.). I will help you establish the perfect starting point for vibe coding.

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.

This is a course on creating blog images using DALL-E 3. This course provides practical knowledge and hands-on opportunities from the basics of image generation technology to advanced usage techniques and problem-solving strategies.

Reading the Standard of Digital Money — A New Financial Order Opened by Stablecoins In the uncertain digital asset market, stablecoins—the only assets that function "like real money"—have already emerged as a core part of the global financial infrastructure. This provides essential, condensed knowledge for professionals who want to be at the forefront of understanding the paradigm shift in the digital economy.

This lecture teaches how to generate images using DALL-E3 (DALL-E). Through basic functions, a 3-step prompt strategy, and hands-on image generation practice, participants can become creative image creators.

You will experience the process of building an actual web service by combining various AI models such as Kimi, OpenCode, and Codex according to the situation. Beyond simple prompt input, you will learn practical development workflows for collaborating with AI, from requirement definition to code review and service completion, through hands-on practice.

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.

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"! 😊

Are you tired of repetitive tasks? This one lecture is enough. Combine Make, Apps Script, and AI to build your own business automation system. From souvenir recommendations to receipt OCR processing, this is a practical, hands-on course where you just need to follow along, even if you don't know coding.

Learn the entire process of running the latest Gemma 4 model directly on your MacBook without the burden of paid API costs. You will master performance maximization techniques using Apple Silicon's Metal API and optimal parameter settings for different VRAM capacities, while gaining the ability to build production-level local AI infrastructure based on FastAPI.

As the digital transformation of the manufacturing industry accelerates, production facilities, control systems, and industrial networks are becoming increasingly connected to external systems. Along with this, the possibility of cyberattacks leading to production shutdowns, quality degradation, technology leaks, and safety accidents is also growing. The [OT (Manufacturing) Security] Master Class for 4 Major Manufacturing Industries is a course that examines OT security threats that can occur in the automotive, semiconductor, chemical, and food/pharmaceutical industries, focusing on real-world manufacturing site cases. Participants will understand how production processes and facility environments differ across each industry and systematically learn about key security threats, causes of accidents, and response strategies specific to each sector. The course covers a wide range of topics in a single program, including smart factory and supply chain security in the automotive industry, protection of core processes and technical information in the semiconductor industry, control systems and safety accident response in the chemical industry, and quality, hygiene, and GMP data protection in the food and pharmaceutical industries. Rather than simply listing complex technologies or attack techniques, the course explains "what problems can occur," "why they occur," and "how to respond on-site" in a way that is easy for even beginners to understand. Through this lecture, you can compare the characteristics of the four major manufacturing industries and the differences in OT security, and learn the basic direction of security inspections and accident response required at manufacturing sites.

Learn how to automate daily tasks using AI tools and apply AI code to actual service development. We provide practical know-how that everyone from developers to non-developers can immediately apply to their own work environments.