Understanding AI Literacy

This course is based on the book "Humanities Stolen by AI" and re-examines the role and existence of humans in the age of artificial intelligence, while exploring the relationship between AI and humans in depth.

Mastering difficult AI with just one single analogy?! A first step into AI principles, understanding through core concepts rather than just terminology.

👉 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.

1. Mock exam problem-solving for passing AICE Associate, Korea's only state-certified AI certification. 2. A course featuring 12 mock exam sessions with the same question types as the actual AICE Associate exam.

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.

This course covers the entire process of evolving ChatGPT from a simple conversational AI into an intelligent AI Agent that performs real-world tasks. By utilizing the three core frameworks—LangChain, LangGraph, and LangSmith—you will build AI Agents that can be used immediately in practice.

This introductory course for AI engineers is designed to provide a brief hands-on experience of the entire process, from data processing and model development to cloud, MLOps, and ethical considerations. It focuses on building practical skills by helping students understand the process of connecting models to actual services, rather than just creating them. The course includes hands-on exercises and examples so that even those learning AI for the first time can easily follow along.

AI is the trend, but can't I just pick out the information that's useful for my work? I've prepared a story that will give you various insights into AI from the perspectives of engineers, strategic planners, marketers, and executives.

You can transform your ideas into beautiful presentations in just a few minutes. No more spending hours struggling with slide design. With GAMMA's AI technology, you can dramatically improve your content creation process.

For those of you who have completed intermediate SwiftUI, it is now time to integrate AI into your apps. Complete an on-device AI app that runs locally without an internet connection using Apple Intelligence and the FoundationModels framework.

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.

An introductory AI lecture tailored for those new to artificial intelligence! It easily summarizes core concepts from data to generative AI. The goal is not to build AI, but to achieve a level of practical understanding where you can ask the right questions and explain the technology.

An easy-to-understand lecture by the author of [AI Leadership], a management scholar with a background in program development and a creative organization HR expert

We provide guidance on what to study for those starting AI development.

A comprehensive compilation of approximately 130 ML/AI engineer interview questions and answers learned through about 20 interviews

Did you give up while learning Verilog and EDA tools? A semiconductor professor who designs NPUs himself will show you how to understand everything from CPUs to NPUs by calculating with just 9 Excel files.

You can enhance your development capabilities by deeply exploring the fundamental principles of large language models like ChatGPT and Claude. You will be able to learn a variety of information and development techniques that are not commonly encountered.

Customer analysis completed with Excel and Orange, from cross-selling to A/B testing and churn risk management all at once

Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.