Crossing the AI Era with Learning Science

Copilot Chat will become more than just a simple AI assistant - it will be your reliable work secretary that maximizes your productivity and creativity. In this course, learn Copilot Chat's core features and usage methods, practical cases that can be applied immediately to real work, and customized tips tailored to each task, and start experiencing how your way of working changes with Copilot Chat!

Records remain, and responsibility grows! Everything about digital ethics that protects the workplace This course explores digital hate, digital sex crimes, and the risks of using AI that can actually occur in the workplace through case-based stories, clearly explaining what the problems are and how to prevent and respond to them. It firmly establishes the standards of digital ethics that today’s employees—who communicate digitally and use AI as part of their everyday work—urgently need, including how to work while respecting one another in digital spaces and how to use AI more safely and responsibly.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

We will summarize the core theories spanning from Machine Learning and Deep Learning to Generative AI in one go. And by implementing various Generative AI applications with easy Python code, you can take your first step as an AI developer.

AI is now a common challenge that all generations face. This course explores ways to transform AI into a language of communication and collaboration, transcending the differences in perspective between XYZ generations.

The recent surge in rental fraud (Jeonse fraud) is a realistic problem that can happen to anyone. In particular, those with little experience in rental contracts, such as young professionals entering society or newlyweds, often find it difficult to recognize fraudulent tactics, leading to damages ranging from tens of millions to hundreds of millions of won. Based on firsthand experience of falling victim to rental fraud, this class provides practical methods to prevent fraud and covers essential checklists from before the contract is signed until after it is finalized. Rather than simply listing scattered online information or legal jargon, this course uses real-life cases to explain in a simple and specific manner which parts are easy to miss, the correct order of verification, and which red flags should prompt you to stop a contract immediately.

Have you ever been studying deep learning, only to lose sight of the bigger picture when model names and equations all appear at once? This course explains deep learning not as a collection of difficult formulas, but as the history of problem-solving that began with a single artificial neuron and progressed to ChatGPT. I have taught hundreds of hours of deep learning lectures to learners with diverse academic backgrounds and experiences at LG Electronics DX School. Through that process, I discovered a common difficulty: “I understand it while listening to the explanation, but when a new equation or model appears, I feel lost again.” So I improved the lectures by explaining what the problem was first, why existing methods failed, and what was changed to solve it—before covering the model’s structure or calculation methods. In this course, we follow a single visual metaphor—“drawing a line”—to connect the perceptron to CNNs, RNNs, Attention, Transformers, and large language models. Rather than calculating the equations directly, you will understand what problem each equation solves and learn to analyze new AI systems for yourself by asking the following question: “What problem was this model trying to solve, what did it change to do so, and what decisions did it leave to humans?” Ultimately, this course helps you develop the ability to distinguish between what should be entrusted to AI and what people must verify and take responsibility for, instead of blindly trusting or fearing AI.

If you receive stock recommendations from AI and leave the timing of buying and selling to it, will you actually make a profit? AI is not a prophetic tool that predicts future stock prices. Instead, it can be a powerful investment assistant that checks the emotions swaying your investment decisions, analyzes complex information, and helps you stick to long-term investment principles. In this course, you will understand the typical behavioral errors of individual investors—such as loss aversion, panic selling, and FOMO—and learn how to create unwavering investment criteria using AI prompts and investment analysis tools. From back-calculating target assets to portfolio design, utilizing tax-saving accounts, and setting up automated recurring purchases, complete your own AI investment system that even busy office workers can consistently execute. Point 1. Understand the limits of AI investment and use it properly Understand through data why AI is not suitable for stock recommendations and predicting trade timing Utilize AI in areas it excels at, such as earnings call analysis, ETF overlap diagnosis, and portfolio reviews Learn how to review counter-scenarios and risk factors so you don't just believe optimistic answers Point 2. Correct the malfunctions that sway investment psychology Diagnose recurring investment behavior patterns such as loss aversion, the disposition effect, panic selling, and FOMO Practice the 72-hour rule to reduce impulsive trading and routines for formalizing selling conditions Design AI prompts that help maintain long-term investment principles despite market volatility Point 3. Create a long-term investment system that sustains itself automatically Design a recurring investment plan and portfolio based on target assets and investment periods Review investment strategies through Monte Carlo analysis and tax-saving account simulations Complete an investment structure that executes without constant deliberation by setting up automated purchases and cash buffers

Learn context engineering techniques for creating high-quality AI agents through hands-on practice.

The limitations of LLMs? I’ll share practical solutions to real-world problems based on RAG trial and error and operational know-how from working in Silicon Valley.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

We’ll cover the entire product-building process from A to Z, starting with Figma fundamentals and moving on to building and utilizing an AI-readable design system that can accelerate the design and development process with AI.

AI Finally Gets a Body - What is My Survival Strategy in the Age of Robots? Physical AI is not just about robots. It is an overthrow of the economic paradigm created by the grand convergence of artificial intelligence, robotics, and energy technology. This course explores various perspectives, from the background of Physical AI's emergence to the strategies of global big tech, hardware sovereignty, and future social issues such as robot taxes, basic income, and global inequality.

We will teach you about AI, especially Generative AI like ChatGPT, by learning about it from various angles and showing you how to use AI tools that can be applied in practice. It consists of content such as marketing planning utilizing Generative AI, and an introduction to and utilization of Generative AI tools helpful for marketing content development (ChatGPT, image Generative AI).

The rules of every game are changing — a new dimension of business opened by quantum computing. Moving beyond simple technological advancement, quantum computing has already emerged as a key variable determining the future business landscape, poised to shift paradigms across all industries. This analysis provides insightful perspectives on the massive wave of technological change, covering everything from the basic principles of quantum computers to innovation cases in finance, pharmaceuticals, security, and the strategic moves of global Big Tech. It offers the most definitive roadmap for professionals who wish to gain quantum literacy without complex physics knowledge and transform into future-ready talent.

Even if AI quickly generates an SQL draft, people must judge the table structure, relationships, performance, and data consistency. Using MySQL and DBeaver, you will gain hands-on experience with everything from tables, columns, data types, PKs, and FKs to DDL, database modeling, SQL fundamentals, indexes and EXPLAIN, and transactions, learning the standards for reading and validating AI-generated results.

1. Python coding study to obtain the AI certification, AICE Associate 2. Step-by-step Python coding study from basics to applications 3. Lectures by Professor Joongheon Kim of Korea University, a scholar in the field of AI

You know about AI agent frameworks, but understanding how they work and applying them in practice can be difficult, right? Drawing on firsthand experience from Silicon Valley, we’ll guide you from the core principles to practical applications.

From the basics of AI video to completing a short film all at once?! All-in-one video production connecting principles, theory, and practice.

You can start automating Excel without learning to code. Through practical examples, you’ll learn how to describe the tasks you want to AI, run the macros it creates, fix errors, and even add features. By the end of the course, the goal is for you to be able to create macros for new repetitive tasks on your own with AI.