Introduction to Machine Learning and Deep Learning: Understanding Algorithms

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

Leverage Python to learn machine learning techniques, improving real data information extraction and prediction model development skills!

Let's develop specialized skills in programming skills, algorithm skills, and statistical analysis skills!

Let's learn various data structures and algorithms and develop the ability to implement them through programming!

Are you a digital talent interested in the Internet of Things (IoT)? Get started with the Internet of Things through Arduino!

Learn and understand AI and AI ethics, then integrate with your major to boost AI digital skills!

ChatGPT, become a creator using generative AI!

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

Basic manners, etiquette, and communication skills education to foster global leaders leading the 4th industrial revolution era

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

Let's understand model algorithms for machine learning and deep learning by utilizing Keras!

Let's develop basic field knowledge of clothing science and the capabilities of a fashion specialist through understanding AI-based textile CAD!

Experience developing applications collaboratively in a Linux shell & open source software environment, and build the development environment required for program coding!

Let's understand data analysis suitable for advanced retail business and learn how to utilize tools utilized in the industry!

Let's develop the skills to develop web applications using React and develop the capabilities to apply them in practice!

Learn basic website building methods and gain practical application skills from the basics of web development through practical projects linked to public data Open API!

Let's understand and try policy evaluation with R and R Studio!

Let's manage projects efficiently and smartly through data science

Let's understand data analysis methods using Python, analyze and visualize various types of data on our own, and organize an outline of our data story!

Are you a digital talent interested in coding and the Internet of Things (IoT)? Get started with programming through MicroPython!

You will study the basic grammar of TensorFlow 2.0 and learn the theory of deep learning through TensorFlow practice code.

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.

Let's understand model algorithms for machine learning and deep learning by utilizing Keras!

From the basics of machine learning & deep learning! Creating and utilizing classification/regression/clustering/artificial neural networks with Python

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

This course is an introductory program designed so that learners who are new to AI technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and conduct hands-on practice directly generating images using various AI tools. Upon completing this course, you will become much closer to AI and acquire the capability to create AI images that can visually implement creative ideas.

You will create an Android/iOS app based on a simple machine learning model, learn the basics of machine learning, model conversion using TFLite, and the process of implementing an Android app/iOS app.

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

This is a basic Python course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with Python

This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).

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