Using AI tools, you can generate human photos and turn them into talking videos.

We will create a simple AI video using Google Gemini and Flow.

The goal is to learn everything from basic Figma tools to prototyping in a light and easy way, enabling non-majors to directly design app screens for planning purposes.

In this class, you will learn the core features of Adobe Firefly so that even design tool beginners can use them, and develop the ability to quickly create key marketing content such as banners, card news, and product detail pages using AI.

This course will help even non-majors who cannot create logos or have no knowledge of illustration to create logos.

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.

One of the greatest challenges I felt while working in HRD at a human resources development center for 12 years was that while I had plenty of ideas, the coding barrier to implementing them was simply too high. This course starts from that very point. The goal of this course is to help HRD professionals implement their own ideas without having to become developers. This is a practical, vibe-coding-based course designed for those in HR, HRD, General Affairs (GA), and Organizational Culture. We will build the services you want using only free features, without the need for paid services.

"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.

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.

You can develop practical skills to collect and utilize customer behavioral data through Google Tag Manager.

From PC control to high-level research and app development A guide to building your own 'AI Work Assistant' ready for immediate real-world deployment

It's an era where you can create apps even without knowing how to code. If you have an idea, you can implement the features you want by conversing with Claude Code. This book introduces a new development approach where you communicate with AI to achieve desired results, rather than writing code directly. Through 15 hands-on projects, you'll experience various workflows with AI, from creating personal web pages to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following examples, this provides an experience of completing the entire real-world development process—from planning, design, testing, to deployment—in collaboration with AI.

We will summarize all the hot topics regarding Generative AI, LLMs, and Agents from throughout 2025! Focusing on the announcements from the three major AI developers (OpenAI, Google, and Anthropic), we will take a look at the trends of AI that have advanced remarkably in '25.

And we are in the era of AI now. In the past, the "app-first" approach was difficult. Someone had to give you the code—whether you copied it from a book or found it on the internet. But now, we have AI. If you say, "Make me an app," it actually generates the app code. This is a complete game changer. Now, anyone can have an app from day one. And while looking at that app, they can ask, "What is this?" The method I used 10 years ago is now something anyone can do.