Getting Started with MATLAB

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

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

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

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 cultivate professional expertise in programming, algorithms, and statistical analysis!

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

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 collect, analyze, and communicate data using techniques that handle data 'appropriately' and 'fairly'!

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

Let's analyze and visualize data using Orange3 and explore machine learning concepts!

Let's experience collaborative application development in a Linux shell and open-source software environment, and set up the development environment required for coding!

Let's understand object-oriented concepts through Java programming and improve our program design and problem-solving skills!

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

Let's learn how to use Git and GitHub and use them for collaboration!

Learn machine learning techniques using Python and improve your ability to extract information from real-world data and develop predictive models!

Let's have fun coding with various cute robots using artificial intelligence!

Understand and learn about Artificial Intelligence and AI ethics, and strengthen your AI digital capabilities by integrating them with your own field of study!

Let's find out how to automate tasks using Python!

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

This is an in-depth linear algebra course for engineering majors in fields such as Machine Learning, AI, Robotics, and Computer Vision. It is recommended for those who wish to study linear algebra in depth. While explaining as simply as possible, it covers advanced topics through selective focus and concentration.

Covers essential linear algebra for Machine Learning/Deep Learning research.

This is a basic machine learning course for those who don't know math and coding well, but want to understand machine learning trends and utilize machine learning technology to plan products.

This course is for those who want to study machine learning but lack statistical knowledge.

- I am a Research Engineer/AI PM running a 4-year-old AI startup. - This video is a lecture for those who want to start studying artificial intelligence "now" or in "2026". - Looking at college students, I see many who have no idea how to get started with artificial intelligence. - I hope that after watching this lecture, you'll be able to start studying artificial intelligence. - For reference, this lecture is not about "using AI in my work" or "getting started with monetization methods using GPT". - This is a video about how students, graduate students, or developers can get started when they want to study artificial intelligence.

This course is ideal for those who want to focus on theory and context rather than practice, aiming to organize their knowledge of deep learning in depth and grasp the big picture. It makes the mathematical and statistical foundations of deep learning easy to understand and provides intuitive interpretations of key modern models—such as AutoEncoder, GAN, Transformer, and AlphaGo—from a developer's perspective.

We foster capabilities to prepare for future technological changes by learning from the basics related technologies that are at the core of 4th Industrial Revolution technologies, such as ICBM (IoT, Cloud, Big Data, ML), autonomous vehicles, and the metaverse.