C100
Python for AI
The starting point for AI learners. Students master core syntax, functions, modular thinking, debugging habits, and the logic patterns that make later data and model work possible.
Course System
From first code to deep learning applications.
Courses are organized as a progressive C100-C500 map. Students do not jump into AI shortcuts; they build the foundations that make advanced concepts understandable.
C200
Data Science
Students learn exploratory data analysis, cleaning, preprocessing, visualization, and feature thinking through real datasets and project-based labs.
C300
Mathematics for AI
Students use code to recreate mathematical ideas and learn how vectors, distributions, gradients, and optimization become the engine of machine learning.
C400
Machine Learning & Competition Sprint
An IAIO-oriented applied track covering classical algorithms, experiment design, model comparison, and competition-style problem solving.
C500
Deep Learning & Frontier Applications
Students enter neural networks, computer vision, natural language processing, and modern architectures while learning to reproduce and explain model behavior responsibly.