Foundations of Artificial Intelligence and Machine Learning

Catalog description

This course introduces students to the fundamental concepts and terminology of artificial intelligence (AI) and machine learning (ML). Topics include the history and evolution of AI, supervised vs. unsupervised learning, data preprocessing, model evaluation, and ethical considerations. Students will explore common applications of AI in business, healthcare, education, and more. No prior experience in programming or data science is required. Through interactive case studies, simulations, and guided tutorials, students will develop a conceptual understanding of how AI works and why it matters.