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.

📢 "What happens when AI is added to a factory?" 🤖 The era of traditional manufacturing is over; we are now in the age of AI- and data-driven smart factories! For those who have been wondering "what exactly is a smart factory?" and those who want to know "how AI technology is actually applied on the manufacturing floor," we have prepared a very easy-to-understand and clear introductory lecture.

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

Systematically learn the core concepts and operating principles of Imitation Learning and VLA (Vision-Language-Action) technologies, which serve as the foundation for Physical AI. Understand the mechanisms through which Physical AI interacts with the real world through actual case study analysis.

1. A practice-oriented lecture designed to help you pass the AICE Associate, Korea's only nationally recognized AI certification. 2. Learn to the level of performing data analysis and AI modeling based on Python.

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.

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

An advanced player thirsty for improvement! Those who want to learn proper Go joseki and apply it in real games! Clear commentary by Go instructor Yeongeum Baduk (Moon Kook-hyun)! 10 minutes a day! A 50-day completion project!

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.

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.

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

Recommended for dan-level players from 1-dan to 7-dan! Yeongeum Baduk presents a full analysis of the masterpieces of Lee Chang-ho 9-dan, who was known as the God of Baduk!! We have meticulously covered details that even strong amateur players often miss.~ Invest 20 minutes a day to boost your stagnant skills once again~

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.

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.

The purpose is to improve, compared with last year, awareness campaigns that are not defined in the regulations and often end merely with the distribution of promotional gifts, by referring to best practices from various organizations, given the current situation in which the performance of events and campaigns such as Information Security Day or Personal Information Protection Day, held monthly or annually, is gradually declining. These events must now move beyond gift-distribution activities organized by the Information Security Team and become events in which all employees participate and uphold security together. It is necessary to build mutual understanding through the establishment of a communication system for embedding security into the organization. Ultimately, employees must have a good understanding of information security and the Personal Information Protection Act so that the organization can realistically protect itself from hacking and insider threats. Since the departments other than the Security Team—including those responsible for commissioning various projects, managing entrusted service providers, controlling applications and security settings, planning various informatization projects, and conducting IT audits—are designated to take overall responsibility, the Security Team is distributing security-related tasks among the respective departments. However, the current situation is that each department is merely expressing dissatisfaction. This opportunity should therefore be used to move away from that situation, as internal consultative bodies alone are insufficient. Security-related scoring criteria must be reflected in the powerful personnel evaluation system. Through unannounced audits, those who fail to comply should be disciplined through pay reductions or suspension, while those who properly observe security requirements and demonstrate achievements in support of security should receive substantial financial rewards through an incentive system. Security must be embedded in the organization so that employees take the initiative themselves. Accordingly, department and individual evaluation KPIs should be adjusted through a report to the CEO under the direction of the CISO. In addition, through a system for designating department-level information security officers and personnel in charge, the organization should strengthen its human security framework against hacking and information leakage—including the leakage of documents managed by each department and the management of service providers—by providing position allowances for these responsibilities.

No Coding Skills Required: Build Your Very First Service with Google Stitch An All-in-One AI Development Workflow That Seamlessly Connects Every Step from Planning to Deployment

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

You will understand the present and future of AI technology, experience the testing process of AI models such as machine learning, and learn the role of a tester. You will gain a broad range of knowledge, from establishing AI-based system testing strategies to designing and executing test cases, as well as utilizing AI for test support. This course is based on the ISTQB AI Testing syllabus and provides an opportunity to perfectly prepare for the ISTQB AI Testing certification exam.