Basic Artificial Intelligence Mathematics (Basic Artificial Intelligence Mathematics)

Basic manners, etiquette, and communication skills training to foster global leaders leading the era of the Fourth Industrial Revolution.

Let's acquire the Python coding skills necessary for artificial intelligence by learning the basics of the Python programming language!

Let's learn various data structures and algorithms and develop practical skills by implementing them through programming!

Let's design, implement, and develop while learning the basic and object-oriented concepts of the C++ language!

Let's build the skills to develop web applications using React and cultivate the capability to apply them in practice!

Java Programming Based on Object-Oriented Concepts for Computer Science Majors

Let's practice learning how to translate real-life and major-related problems into actual computer programs and utilizing Python-based AI tools!

Let's understand the major algorithms of machine learning and deep learning, and get to know artificial intelligence!

Let's develop data-driven administrative practical skills to empirically solve administrative and policy problems by analyzing public data with R and Python!

Let's become creators using ChatGPT and generative AI!

Experience text-based coding through block coding and let's control an Arduino!

Modern C++ Programming based on Object-Oriented Concepts for Computer Science Majors

It improves logical thinking skills and cultivates the capacity to converge one's major with information and communication technology in the era of the Fourth Industrial Revolution.

Are you a digital talent interested in the Internet of Things (IoT)? Let's get started with IoT through Arduino!

Let's make your own self-driving car using block coding with Scratch and Entry!

Let's use the R language, which processes data easily and conveniently, to help even non-computer science majors develop their skills in utilizing computer programs related to their own fields!

Let's look into how to deploy Abyss for non-majors!

Are you a digital talent interested in coding and the Internet of Things (IoT)? Start your journey into programming with MicroPython!

Let's understand machine learning and deep learning model algorithms by using Keras!

Let's learn HTML, CSS, Javascript, and jQuery and create a webpage!

Even those who know nothing about coding will be able to create their own automated stock trading program by giving commands to AI in Korean!

How long will you keep struggling with repetitive daily research and document writing? I, too, was an ordinary office worker who worked overtime every day trying to find key insights amidst an overflow of information. However, after integrating Gemini 3 into my workflow, I experienced a significant increase in work speed. Boost your productivity by utilizing Gemini in your tasks.

I will teach you Vibe Coding systematically from the ground up, following the exact curriculum refined by a 10-year veteran tech lead from NYC/LA startups who has taught over 10,000 students. We will build 'Kagong Map'—a service I personally operate—from scratch, learning the entire real-world workflow from research and development to deployment, operations, and even automation by delegating tasks to AI agents. And I promise you two things: first, you will grasp the big picture of how a service works so you can evaluate AI outputs yourself; second, you will learn to embed workflows and standards into the environment so that AI produces consistent results every time. When you can make the judgments and the AI follows your lead, your ideas truly become real services.

Beyond the era of simply using AI, we are now in an era that requires people who can design AI. This course is a master roadmap that systematically organizes the entire design map of AI agents, from "Introduction → Structure → Design → Operation." Based on RAG, Tool Calling, Memory, and Multi-Agent structures, you will learn how to design and scale AI agents from an architect's perspective. If you want to grow into someone who designs AI systems rather than just someone who "uses" AI, this course will provide the direction.

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.

Now, your AI is no longer in the cloud. It runs directly inside your laptop. Using LM Studio and Ollama, we will show you how to build a Private AI environment that runs entirely locally— from data processing and document analysis to code generation. Without security concerns, without costs, and even faster— Move beyond simply "using" AI and start "truly mastering" it.

This course teaches you how to build AI agents from scratch to a production-ready level using OpenClaw. Beyond a simple introduction to features, you will master OpenAI, local LLMs, memory, sessions, Tools, and Skills in a single, cohesive workflow. Based on hands-on experience and know-how gained from developing AI and large-scale systems in Silicon Valley, the course explains architectures and operational methods applicable to real-world projects. By the end of the course, you will be able to design your own AI agents and implement automation by integrating them with various services. This is a practice-oriented course for those who want to go beyond just using AI and learn how to build and operate it themselves.

Even if you don't know coding, you can read data - everything about no-code AI analysis that makes perfect sense! If you can use Excel, PPT, and Google Sheets, AI will now handle data analysis for you.

Understand Transformer-based LLM architectures and GPU utilization strategies, and gain 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 multi-GPU utilization, and is designed for intuitive understanding through diagrams and practice without complex formulas.

"I'd like to publish a book at least once in my lifetime, but it seems difficult. Maybe I could do it easily if it's a picture book..." "My child (grandchild) would be so happy if I made a picture book about a theme they love..." "I want to learn ChatGPT and Midjourney, but studying them normally is boring. I want to learn while having fun!" This course is for people like you.

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.

: "From environment setup to 7 practical projects, a deep learning full-stack journey across data domains (35 lectures in total)" Go beyond simply following example code and learn how to cook various types of real-world data using deep learning. Starting from building CPU/GPU development environments, you will cover waste sorting classification (Image), stock price prediction (Time-series), ECG anomaly detection (AE), animation stylization (GAN), medical image segmentation (U-Net), and sound classification (Audio)! Systematically master core deep learning algorithms through hands-on projects.

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.

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

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 create various design outputs such as logos, product photos, mockups, banners, wedding snaps, invitations, POPs, menus, and product detail pages using ChatGPT Images 2.0. This is a practice-oriented course where you will learn how to write prompts to achieve your desired results and master template structures that can be used repeatedly.

A course to learn website crawling methods using ChatGPT. Get a preview of the transformed future ChatGPT will create.

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.

Stop paying for student record design. I will reveal all the consulting secrets used directly by an admissions consultant with 30 years of experience.

This is a practical course where even beginners can learn how to quickly create PDF and Notion templates using AI and generate passive income by selling them on platforms like Etsy, Gumroad, and the Notion Marketplace. You will master everything at once, from market research and production to creating product detail pages, uploading, and sales strategies.