About This Course
This interactive course introduces the core ideas behind Artificial Intelligence and Machine Learning in a clear, approachable way. Through guided conversations, short explanations, hands-on decision tree activities, and frequent check-ins, you will move from big-picture questions about intelligence to practical model evaluation concepts. The course emphasizes understanding over math, helping you reason about how AI systems work, how they learn from data, and how their predictions should be evaluated in real-world contexts.
What You'll Learn
- Define Artificial Intelligence and distinguish AI, Machine Learning, and Deep Learning
- Identify and compare supervised, unsupervised, semi-supervised, and reinforcement learning
- Explain what a machine learning model is and what it can and cannot do
