AIと機械学習入門サマーキャンプ | 10代のためのAI、ML、Python

This comprehensive course introduces high school students to the fundamentals of artificial intelligence and machine learning through hands-on Python coding. Students will work with professional-grade tools like NumPy, Pandas, and Scikit-learn to complete four real-world machine learning projects, including image classification, data analysis, and neural networks. The curriculum balances theoretical concepts with practical application, guiding students through the complete machine learning workflow from data collection to model improvement.

This course is designed for students who already have basic programming experience in any language. Throughout the 2-week summer program, students will build increasingly sophisticated AI models while developing critical thinking skills. The collaborative learning environment encourages peer feedback and code sharing.

Projects Included

Cat vs. Dog Decision Tree Classification
Height vs. Weight Data Science Exploration
Hours Studied Linear Regression
Iris Dataset Analysis Nearest Neighbor Algorithm
Handwritten Digit Recognition with Neural Networks

What's Included

2 weeks of comprehensive instruction
Professional-grade tools (Google Colab, NumPy, Pandas, Matplotlib, Scikit-learn)
Hands-on coding experience with real datasets
Daily Practice Questions and Coding Challenges
Introduction to supervised and unsupervised learning techniques
Collaborative learning environment with instructor feedback
Foundation for AI/ML career exploration

Ready to build the future with AI?

Join us for this hands-on course where you'll create real machine learning projects using professional tools. Perfect for high school students with basic programming knowledge who want to explore one of today's most exciting and in-demand fields!

****Important Note for Adults*****

This isn't a beginner coding course. Learners should already be comfortable with basic programming concepts in any language (Python, Java, JavaScript, C/C++, or Swift). If you're new to coding, check out our beginner Python courses first - they'll give you the foundation you need to succeed here.