AI and Machine Learning Workshop

This course introduces students to the foundational concepts of Artificial Intelligence (AI) and Machine Learning (ML)—technologies that enable computers to “learn from data” and make predictions or decisions without being explicitly programmed. Students will explore how machines recognize patterns, how models are trained, and how data shapes intelligent systems.

Through interactive lessons and hands-on activities, students will:

• Understand key concepts such as training data, features, labels, model predictions, bias, error, and the role of humans in guiding AI systems (“human-in-the-loop”).
• Identify real-world applications of ML—from recommendation systems to facial recognition—and analyze both the benefits and risks of these technologies in society.
• Engage in a design challenge, where they define a problem that ML could help solve, design a dataset and basic model concept, and reflect on the ethical and societal implications of their choices.
• Develop critical thinking skills by asking important questions: Who benefits from AI systems? Who might be left out or harmed? What are the limitations of machine learning in addressing human problems?

Grounded in Code.org’s AI/ML curriculum, this program encourages students to think beyond technology—to consider how data-driven systems shape the world and what responsible innovation looks like.