AI Education

A course to learn the core technologies of autonomous driving robots through theory and practice. Covers various topics such as SLAM, path planning, control, and line detection, and includes hands-on exercises with model cars.

• Target Audience: Recommended for students in robotics, mechanical engineering, and autonomous driving
• Duration: 50 hr

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Students can create their own autonomous driving AI model. They then load it onto a real vehicle to build a personalized self-driving car.

• Target Audience: Anyone is welcome (no prior knowledge required)
• Duration: Choose from 8 hr / 16 hr / 24 hr

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By leveraging the OPENAI API, you can create a custom chatbot using advanced techniques such as RAG (Retrieval-Augmented Generation), prompt engineering, and Fine-Tuning.

• Target Audience: Anyone (no prior knowledge required)
• Duration: Choose from 8 hr / 12 hr / 16 hr / 20 hr / 24 hr

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By leveraging YOLO (You Only Look Once), one of the most widely used AI techniques in industry, you will learn how to program object detection, pose estimation, segmentation, and more in the field of computer vision.

• Target Audience: Anyone (no prerequisites required)
• Duration: Choose from 8 hr / 16 hr / 24 hr

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Understand the principles of AI and learn about the latest technological innovations and trends. This course also includes a hands-on session to put the concepts into practice.

• Target Audience: Anyone (no prerequisites required)
• Duration: Choose from 4 hr / 8 hr

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Explore “Cloud Computing,” a crucial component of the 4th Industrial Revolution. Engage in hands-on practice with AWS, the world’s leading cloud provider, and prepare for certification at the same time.

• Target Audience: Anyone (no prerequisites required)
• Duration: Choose from 8 hr / 16 hr / 24 hr

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Data Science involves extracting valuable insights from data to make predictions and inform decision-making. Develop foundational skills in Python syntax and scientific libraries (NumPy, Pandas, Matplotlib, Scikit-learn, etc.) and practice working with various datasets.

• Target Audience: Anyone (no prerequisites required)
• Duration: 48 hr

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Machine Learning is a branch of Artificial Intelligence (AI) that employs algorithms and statistical models to enable computers to learn and make predictions without explicit programming.

• Target Audience: Individuals with foundational skills in Python and Data Science
• Duration: 80 hr / 100 hr

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Deep learning is a branch of Artificial Intelligence (AI) that uses artificial neural networks inspired by how the human brain processes and learns information. It delivers outstanding performance in a variety of applications such as image recognition, speech recognition, and language translation.

• Target Audience: Individuals with foundational Python and data science skills
• Duration: 80 hr / 100 hr

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The Big Data Analysis Engineer certification is a government-recognized professional credential in South Korea that formally verifies one’s data analytics skills. To earn this certification, candidates must pass both a written exam (Part 1) and a practical exam (Part 2). This course covers both theoretical (written) and practical (hands-on) components.

• Target Audience: Anyone (no prerequisites required)
• Duration: 48 hr

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