Entry for Artificial Intelligence Coding

It's structured to enable understanding of ChatGPT and text generation AI, learning effective real-world use, practice via diverse examples, and direct application.

Learn the basic grammar of the Python language, practice writing simple logic using it, and learn about various libraries.

Through this lecture, you can learn the basic grammar of the C language. Instructor: Professor Eunmi Jeong (SW Convergence Education Center, Andong National University)

This is a web programming course for beginners. It is designed to help you learn the basic grammar and usage of HTML, CSS, and JavaScript step by step. It covers the core elements of web development, such as web page structure and design, and implementation of interactive features.

You can solve everything from the concept of the metaverse to its utilization at once. It will be of great help to those who are new to the metaverse.

This course introduces core principles and practical uses of various generative AI technologies (text, images, video, music), helping foster creative problem-solving skills.

We will introduce the types of big data analysis techniques and Python libraries for analysis, and the basics of statistical analysis techniques and machine learning analysis techniques.

This is a special lecture summarizing the key points for passing the NCS revised Information Processing Engineer practical exam. You can efficiently study for the CBT written exam and written practical exam.

This is a special lecture summarizing the key points for passing the NCS revised Information Processing Engineer written exam. You can efficiently study the CBT written exam and written practical exam.

● Learn from the basics of data analysis to machine learning using Orange 3 software ● Strengthen practical skills through hands-on practice using actual datasets

This course aims to understand IoT concepts and develop practical skills through hardware construction and coding using Arduino and Micro:bit.

Learn the basic grammar and object-oriented programming of Java.

Through this lecture, you will understand artificial intelligence and learn App Inventor programming to create smartphone apps using artificial intelligence technology.

Learn how to break down complex concepts into easy terms and apply them to collaborative projects from the ground up.

**"AI Philosophy - Ethics and Challenges in the Age of Artificial Intelligence"** is a topic that deals with the ethical and philosophical exploration of the development of artificial intelligence (AI) and its impact on human society and culture. This topic goes beyond simple technological development and delves into how AI affects human life and what ethical decisions we should make accordingly.

This course is designed to simultaneously develop both fundamental theory and practical application skills needed to proficiently execute AI modeling projects in real-world settings. Learners will understand the overall flow of AI projects and experience step-by-step processes through hands-on practice: problem definition → model design → data acquisition and preprocessing → feature extraction → model training and validation. Additionally, by learning how to select and manage optimal AI models in various situations, learners can build practical AI capabilities that can be applied to actual business environments. Through this course, learners can systematically understand the entire AI modeling project process and strengthen their data-driven problem-solving abilities based on this foundation.

This is a course that offers extensive practice in Python's basic syntax. This is a course that provides practical exercises used in Machine Learning and Deep Learning, along with Python's syntax.

Explains the basic principles of large language models like ChatGPT, focusing on theory.

Conquer everything about world-changing AI in just 4 lectures! Lecture 1. The True Identity of Artificial Intelligence AI is not magic. It's a digital brain created by analyzing human 'intelligence' like a mathematical formula! We thoroughly dissect the core structure of seemingly smart artificial intelligence. Lecture 2. Algorithm, AI's Creative (?) Thinking Method How does a pondering AI find answers? Experience firsthand the strategies of AI that plays Go, finds routes, and predicts your search results. Lecture 3. AI Hardware, The Engine That Turns Imagination Into Reality! The chip inside your smartphone is the heart of AI. We dissect everything from CPU, GPU, TPU, to even those unknown names. Lecture 4. The Great Clash of Machine Learning and Deep Learning! What on earth does it mean for AI to 'learn'? From classic rule-based AI to the currently hot ChatGPT! We trace the evolution of learning.

This is the second lecture in the [Python for AI] series. It's a lecture that provides practical exercises used in machine learning and deep learning, alongside Python grammar.

Through this lecture, you'll be able to learn about the AI graduate school admission process and preparation methods from start to finish! I'll also share some great tips to increase your chances of getting accepted!

This course is designed to help those who want to deeply organize deep learning and grasp the big picture by focusing on theory and context rather than hands-on practice. You can easily understand the mathematical and statistical background that forms the foundation of deep learning, and gain an intuitive interpretation from a developer's perspective of the principles behind major modern deep learning models such as AutoEncoder, GAN, Transformer, and AlphaGo.

This course covers everything from core recommendation system algorithms to practical implementation. - Content-based filtering - Collaborative filtering and deep learning-based recommendation model implementation - Two-step recommender systems implementation - Hands-on practice using PyTorch/RecBole - Industry know-how and recommendation result visualization

For those who want to learn Entry but are having difficulty due to lack of accurate explanations, I have prepared a lecture that covers the basics of Entry. Anyone who has downloaded the Entry program can watch the lecture and follow along.

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 comprehensively learn everything from establishing AI-based system test strategies to designing and executing test cases, and even methods for utilizing AI to support testing. This course is conducted based on ISTQB's AI Testing syllabus and provides an opportunity to perfectly prepare for the ISTQB AI Testing certification exam.

This course covers the entire process of evolving ChatGPT from a simple conversational AI to an intelligent AI Agent that performs actual work tasks. Using three core frameworks - LangChain, LangGraph, and LangSmith - you'll directly create AI Agents that can be immediately used in real-world applications.

An introductory AI lecture tailored for those new to AI! Key concepts, from data to generative AI, are simply explained. The goal is practical understanding, enabling you to question and explain AI, not build it.

Learn the contents of <Understanding Block Coding>, which is included in the mandatory subjects designated by the Ministry of Education for elementary, middle, and high schools.

This is a video lecture on "Scratch Algorithms" where you can learn the algorithms you absolutely need to know through Scratch. You can learn more efficiently through the book "Scratch Algorithms" available in bookstores.

From core theories of deep learning and CNN to various CNN model implementation methods, and practical deep learning development know-how through real-world problems, If you want to become a deep learning CNN technology expert based on Pytorch, join us in this lecture :)

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

It improves logical thinking skills and cultivates the ability to integrate one's major with information and communication technology in the era of the 4th Industrial Revolution.

In an era of explosive data growth and crucial real-time processing, edge computing has established itself as an essential technology, no longer an option. This course is designed to systematically teach everything, from the core concepts of edge computing to deployment strategies for its application in real business environments. Through this course, students will firmly solidify the fundamental principles of edge computing and acquire practical knowledge and know-how applicable to real-world tasks and projects. Take the most certain first step towards becoming an edge computing expert, a core technology in the future IT environment!