This course introduces the basic concepts and features of Claude, a generative AI, and teaches you how to use the platform. Through practical examples you can apply in everyday life, you’ll learn how to use conversational AI effectively. It’s designed to be easy to follow, even for beginners who aren’t familiar with IT.

This course covers the basic concepts and uses of Perplexity AI, a generative AI tool. Building on theoretical lessons about the history and characteristics of AI, you’ll learn the basics of using the Perplexity platform. Through practical examples you can apply immediately in everyday life, you’ll learn how to use conversational AI effectively.

How to Speak English Like a Native While Saving Millions of Won on Academy Tuition: Study Not Just Speaking, but Reading + Writing + Listening + Speaking with an AI Agent!

This is an introductory course where you learn the core concepts of Claude Code through a 3D office analogy. From hiring a single robot in an empty office, giving it a brain and a heart, equipping it with tools, permissions, and memory, to eventually having multiple robots work together as a team—each concept unfolds as an office scene. You will master every concept by interacting with the digital course materials and complete your learning through hands-on practice on your own computer.

Genspark Genius Ambassador’s Course >> Genspark, the smart AI super agent that handles everything from PPTs, Excel, images, and videos to vibe coding! You’ve been waiting for an in-depth course and book dedicated solely to Genspark, right?! Rated 4.8 by 100 students ⭐️⭐️⭐️⭐️⭐️ After using it for a year, I thoroughly organized all of its detailed features into extensive learning materials and a 4-hour course. Genspark can solve all your work challenges when you know how to use it. Get 300% more out of Genspark through this course!

We solve problems that are difficult to answer with practical research experience and proven prompts.

Your AI is no longer in the cloud. It runs directly on your laptop. Learn how to build a completely local Private AI environment using LM Studio and Ollama—for everything from data processing and document analysis to code generation. With no security concerns, no costs, and greater speed— move from simply “using” AI to “putting it to work” yourself.

These days, it's become so famous that you can't afford not to know about it - Nano Banana? Gemini 3.0? In this course, you can learn to handle everything with the Gemini API.

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.

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.

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.

Create a wide range of design deliverables using ChatGPT Images 2.0, including logos, product photos, mockups, banners, wedding snapshots, wedding invitations, POP displays, menus, and product detail pages. This hands-on course teaches you how to write prompts to achieve the desired results and how to structure reusable templates.

👉 A starting point for those who want to properly understand AI for the first time. If you understand what AI does but aren’t quite sure why it works the way it does, this is the course to start with. In this course, we’ll explain step by step, from the beginning, how artificial intelligence differs from traditional programs and how learning and decision-making take place. Without complicated equations or coding, the course is designed to help you understand the big picture of how AI works.

The real story of an AI-native company run by GolbinHacker, the 1st place winner of Kakao AI TOP 100 and author of the bestseller "The Best Prompt Engineering Lecture." It explores how just two developers build and operate a service, along with the new competencies developers and organizations need in the AI era through real-world cases.

Let’s explore everything from data input to model modification, and learn about regression and classification models, which can be considered the starting point of supervised learning.

The Gemini agent that works across Google Drive! Put the finishing touches on your Google AI workflow with overwhelming productivity.

Learn how to structure diverse data—including students’ grades, school records, and areas of interest—using the AI-SPARS tool, and leverage an LLM to design everything from major exploration and college/admissions strategies to personalized roadmaps. Rather than simple Q&A, you can immediately apply in practice a systematic AX-style career and college counseling process that progresses from Profile-Interview-Major-College-Admissions Track-Gap-Roadmap-Smart Report-Portfolio.

Understand Transformer-based LLM architectures and GPU utilization strategies, and get hands-on experience with the actual serving process using vLLM. This course covers the entire practical workflow, from building AI system pipelines to monitoring and utilizing multiple GPUs, and is designed to help you understand everything intuitively through diagrams and hands-on exercises—without complex formulas.

Even people who know nothing about coding will be able to give AI commands in Korean and create their own automated stock trading program!

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