How to Develop an AI-Based Personalized Service: Recommending the Best Workout Time for Me

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.

We provide an easy understanding of the concepts and principles of generative AI from a humanities perspective, including literature, film, music, and history, while exploring the cultural impacts and life changes AI will bring. We offer practical insights and strategies on how individuals and companies should respond and prepare for the AI era.

👉 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.

This special lecture concurrently prepares for Microsoft AI-900 certification, featuring the latest content reflecting May 2025 exam scope, combining theory and practice, including AI overview, machine learning basics, computer vision, natural language processing, document intelligence, knowledge mining, and generative AI.

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.

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.

Do you want to make substantial profits even in a bear market? Are you interested in automated trading but unable to get started because of coding, trading strategy design, exchange APIs, and server deployment? In this course, even those new to Python will learn how to use ChatGPT and Codex to turn trading ideas into concrete strategies and implement them through backtesting and live automated trading code. You will practice Binance futures automated trading using Python and CCXT, technical indicator strategies, averaging-down backtests, and a Kimchi Premium strategy based on the Upbit API. You will then apply Telegram notifications and order safety features, manage the completed bot with GitHub, and deploy it to a cloud server. Rather than entrusting all investment decisions to an LLM, you will determine the strategy and risk management criteria yourself, using the LLM as an assistant for strategy design, code writing, and troubleshooting. After completing the course, you will be able to do more than simply run the provided code—you will be able to create, validate, modify, and deploy your own strategies!

Learn machine learning techniques using Python and improve your ability to extract information from real-world data and develop predictive models!

Many people use ChatGPT and frequently hear about recommendation systems and autonomous driving, but when asked to explain “why they work the way they do,” they often struggle to find the words. If you only follow coding courses, the code runs but the underlying principles don’t stick. If you only take math courses, you see the formulas but can’t connect them to AI. Overseas courses can feel intimidating because of the English, while introductory courses in Korea tend to focus heavily on hands-on practice. While building real models in AI competitions, running Everyone’s AI, and meeting thousands of learners, I repeatedly saw the same thing: the obstacle wasn’t how to use the tools, but the moment when functions, derivatives, vectors, and backpropagation became disconnected from one another. This course bridges that gap. From how functions define inputs and outputs, to how derivatives determine the direction of learning, and how backpropagation passes errors backward, it explains everything in one continuous flow—from the fundamentals of mathematics to neural networks and softmax. Rather than memorizing formulas or simply copying code, this course helps you understand “why” through equations and intuitive illustrations. For anyone who wants to truly understand AI, it will serve as a solid first step toward moving on to deep learning.

"The deep learning code runs, but why do the formulas in papers look so unfamiliar?" As you study AI, you eventually hit a wall of mathematical formulas. If you trace the source of that wall, it usually leads back to not having a solid foundation in the most basic mathematical language. Starting with the language of sets, this course covers core concepts across 18 lectures, including equations, functions, sequences, exponents/logarithms, and trigonometric functions. We don't make you memorize formulas. While we briefly touch upon how these connect to the context of AI, the primary goal of this course is one thing — to build an unshakable foundation for when you later learn linear algebra, calculus, and probability/statistics. As the first part of the Suminjeongeum series, this course will provide you with the common language needed to properly digest the remaining three parts.

👉 Recommended for those who want to view AI results not as “values that simply came out,” but as understandable judgments. What exactly does AI use as the basis for making judgments? This course structurally explains how data affects AI’s judgments and why data is said to be important. You will learn how AI interprets numerical information and develops criteria for making judgments.

Learn the core principles and practical implementation of Classic RAG, Graph RAG, and Agentic RAG. Design a dynamic routing system that optimizes token efficiency and latency, and build a long-term memory system that combines GraphRAG’s relational network reasoning with Agentic RAG’s self-evaluation loop. This course develops advanced RAG architecture design skills that can be applied directly in real-world settings.

Criteria for organizing complex data at a glance: Cognitive-based practical visualization designed with Excel and AI.

You don’t need to know how to code. Organize your idea into a proposal, menu structure, and screen design with Plandy, then hand that planning kit over to Claude Code (web) to build a local Pilates booking app. Follow the entire process from start to finish, including creating member accounts, Kakao login, bookings and cancellations, membership session counts, an admin interface, and publishing it at a real address.

This is a recording of a meetup with CEO Yongho Ha, who has been at the center of the AI evolution—from starting as a first-generation data scientist to achieving two machine learning startup exits and serving on the National AI Strategy Committee. Have you ever felt that the more you use AI, the more unclear your own expertise becomes? We’ve all been there. This anxiety stems from "Workslop" and the technical, cognitive, and intentional debt that accumulates without us even realizing it. This meetup begins by diagnosing the true nature of this anxiety and moves on to practical discussions for working with stability—covering everything from verification skills and structural design to learning methods for building your own criteria for judgment.

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.

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

■ Course Overview Are you interested in 3D video production but feel it might be too difficult? Or do you want to create unique videos that stand out from the crowd? With CreateStudio3, you can easily create professional 3D animated videos without any coding. In this course, you will learn the basics of video production through step-by-step explanations that are easy for even beginners to understand. Through this course, you will master the basic operations of CreateStudio3 in a short period and become able to create your own original 3D animated videos. ■ What You Will Achieve By taking this course, you will be able to: - Experience and internalize the basic operations of CreateStudio3 through hands-on practice. - Create unique 3D animated videos. - Create highly flexible scenes by moving viewpoints and angles. - Achieve marketing and promotional results using video. - Acquire simple video production skills. ■ Who This Course Is For - Those who tried complex software like Blender but gave up. - Those who feel paid tools like VYOND are too expensive. - Those who want to create videos easily without coding. - Those who want to share unique 3D videos on social media or YouTube. - Those who want to publish videos without showing their face. ■ Required Tools and Costs - A computer *The instructor uses a Mac, but Windows is also supported. - Purchase of CreateStudio3 is required. (Detailed instructions on how to purchase it at a great price will be explained within the course.) Take this opportunity to master CreateStudio and start creating professional 3D animated videos. This experience is sure to be a major plus for your career. The main contents of this course are as follows: - Basic operations of CreateStudio3 - Basic techniques for 3D animation - Creating character animations - How to use effects - Scene settings and video updates - How to move the viewpoint - Video exporting and specific output methods I look forward to seeing you in the course. Hiroshi Wada

Conversation loops, tool calling, permissions, prompt assembly — learn the core principles of Claude Code by visualizing them through 3D interactive materials. Translate the structure you understood from the materials directly into code to complete your very own 'Mini Claude Code (Harness)'.

AI is no longer a tool exclusive to developers or experts. The gap between "those who use AI" and "those who don't" is already widening across all roles—from students and job seekers to office workers, planners, and developers. This course is a practical survival guide focused on: ✔️ How to use AI as a tool to explode your productivity, not as a replacement technology ✔️ Prompts you can immediately apply to work, studies, job hunting, planning, and development ✔️ The mindset that turns someone who says "I tried AI, but it wasn't that great" into an AI expert Rather than just explaining features, I will show you: 👉 What kind of people survive in the AI era 👉 Exactly how those people use AI in practice Based on my own experiences and real-world examples.