This course covers how to use the GitMind AI mind-mapping tool to enhance university students’ learning and research efficiency. You will learn the basic concepts and characteristics of AI, as well as the fundamentals of the GitMind platform and practical ways to apply it to actual learning and research. You will also learn how to create generative AI-powered mind maps that can be used immediately in everyday life and academic work.

This course covers how to use DeepL, an AI translation tool optimized for university students’ learning and research activities. You will learn the basic concepts and features of DeepL, as well as practical ways to use it immediately in everyday and academic settings. This will help improve translation accuracy and maximize efficiency when analyzing research materials and reading academic papers.

This course covers the basics of using SearchGPT, OpenAI’s AI-powered search tool, as well as its various features and applications. You will learn how to use and apply its text-based functions through prompt input.

Learn how to teach Claude a task you repeatedly explain just once using Claude skills. Get 14 practical skills you can use directly in the Claude app.

Without any installation or code, we’ll create everything in just 3 hours by telling Claude what to do: from a store introduction page → an order calculator → a store website with a real address → a site that accepts order requests.

Stop getting student-record planning. I’ll reveal the entire consulting playbook used by a college admissions consultant with 30 years of experience.

Even the same AI gives different answers depending on how you ask. Learn how to use a five-part prompt to create sales-floor messages and consultation materials with AI.

"We need to do DX/AX." It's always serious in the meeting room, but when you actually get down to the field, don't you feel lost about what to do first and how to do it? You've done a few PoCs, but they never transition to regular operations You bought solutions and equipment, but they're treated as cumbersome tools on-site There's a lot of talk about data and systems, but you can't figure out how to apply them to your current line or process There's no dedicated TFT or team, so you're a practitioner who has to handle both your main job and DX/AX... This course was created specifically for people like you.

A course comprising 5 modules and 18 lessons that transforms generative AI LLM agents that only drain money through API costs into a structure that controls expenses and actually generates margins through model routing, cascading, caching, and loop guardrails. You’ll build everything hands-on, from analyzing real-world cost explosion cases and simulating profitability to designing the architecture. Recommended for AI developers and makers burdened by API costs, as well as anyone looking to operate or plan agent-based services.

"Are you tired of repetitive daily tasks and expensive AI tool subscription fees?" This course teaches you how to create an 'Automation AI Agent' that will completely transform your work through intuitive 'Node' connections, even if you know nothing about coding. To solve the 'high cost' issue of existing tools like OpenClo, you will learn smart automation design methods where the computer quickly handles simple calculations and calls the AI only when absolutely necessary. From YouTube notifications and receipt bookkeeping to RAG document searching and automated email replies, build your own 24-hour customized AI assistant at almost zero cost through 9 practical examples!

You don’t need to know how to code. Once you learn how to “give the right instructions” to AI tools like Claude and Codex, you can create everything yourself—from cinematic websites and motion-graphics promotional videos to AI short dramas, ads, and even podcasts made with your own voice. You’ll receive more than 20 ready-to-use kits containing projects that are actually being created and used, and we’ll show you the entire process exactly as it appears on screen: handing the folder over to AI and converting it to your brand → fixing only the parts you want with a single screenshot → completing Vercel deployment and domain connection. Recorded in October 2026 using the latest AI tools (Claude Opus 5.5 · GPT-6.1 · Grok Build), this course focuses on workflows that continue to work even when the models change.

I’ll show you, through an actual work session building a to-do page from scratch, the process of requesting, checking, and revising that I refined after using more than 58.3 billion tokens with Codex. You’ll learn how to ask for the results you want without knowing all the code and how to directly verify the changes.

See exam types and trends at a glance! Strengthen your practical skills with approximately 100 questions. The perfect preparation for the AWS AI Practitioner exam, allowing for systematic study even when preparing on your own.

An AI that understands Korean well, handles long documents, and even carries out real-world tasks—that is exactly the direction Solar Open 2 is aiming for. This class provides an accessible explanation of Upstage’s Solar Open 2 technical report in the order of “Introduction → Design → Training → Evaluation.” Technical terms are explained through everyday analogies and visual materials, enabling even beginners to understand “what,” “how,” and “why” as one coherent flow.

There may be people who have never taken my lecture, but no one has taken it only once. After teaching in person for so long, I have finally had the opportunity to create this online course. Since the commercialization of AI, I have produced and researched countless pieces of AI content. Based on that knowledge and experience, I have built a logical philosophy of my own and organized it into concepts that are easy for anyone to understand. For those who have been generating AI images without considering the underlying concepts, I will instill a proper foundation in you. Once you take this course, you will be able to create any AI image in the future. Have you never created an AI image before? That’s perfectly fine. You don't need any prior experience in AI image generation. By simply learning and practicing through this lecture, you can become an expert in AI content creation.

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

I would like to introduce the history of AI and the perspective from which we should view the future of AI.

You have likely seen many misleading lectures about monetizing AI music. Yes, AI music monetization is possible. It is simply not difficult enough to justify paying expensive tuition, nor is it a way to make easy money. This is an action-oriented course for those who are interested in AI music monetization but feel lost on where to start. Based on my personal experience of creating AI music, organizing albums, distributing tracks, and utilizing YouTube and TikTok, I have structured the workflow—from music generation and album planning to file preparation, distribution, and monetization setup—so you can follow along from the very beginning. This course does not guarantee profits; rather, it is designed to help you experience the entire process of releasing AI music and preparing for monetization from start to finish.

Mastering difficult AI with just one single analogy?! A first step into AI principles, understanding through core concepts rather than just terminology.

Using AI has become easier, but model cards and papers are still difficult to read, even just a few lines. Although you can look up the meanings of individual words, it’s not clear how those words connect to one another. This course builds up around 160 essential terms that frequently appear in AI documents, in the easiest order to understand them, so that in each lesson you can accurately read a single sentence from an actual document.