AI is not magic. It’s data, math, and training loops that turn patterns into predictions. Get the quick tour: AI vs machine learning vs deep learning, supervised vs unsupervised vs reinforcement learning, neural networks and transformers, and the real-world wins and challenges—from healthcare to bias and compute. Learn the fundamentals in under a minute.
