使用 Python 的人工智慧和電腦視覺：使用機器學習建立智慧項目

What Will Be Taught?
Students will learn the basics of computer vision and AI using Python. They will explore image processing, colors, video capture, and AI classification while building exciting hands-on projects, including a Rock-Paper-Scissors AI game.


How Is Your Class Structured?
The course consists of 8 interactive lessons, starting with basic computer vision concepts and gradually introducing AI and real-world applications. Each class includes hands-on coding, discussions, and projects to reinforce learning.

How Will You Teach?
Lessons are project-based and engaging, focusing on real-world applications of computer vision. Students will code live, train AI models, and test their projects in an interactive learning environment.

What’s Your Teaching Style?
The teaching style is fun, hands-on, and highly interactive. Concepts are explained using games, real-life examples, and coding exercises to keep students engaged.

How Much Will Learners Get to Interact with You?
Students will interact through:

-Live coding sessions where they follow along and experiment
-Discussions and Q&A to explore AI concepts in depth
-Slides and video clips for visual learning
-Hands-on projects and games like the Rock-Paper-Scissors AI
-Collaborative feedback sessions to refine their AI models

This course is designed to make AI and computer vision easy, fun, and practical for young learners! 🚀