Artificial Intelligence (AI) learns from data through algorithms that identify patterns and make predictions based on that information. Machine learning, a subset of AI, employs statistical techniques to enable systems to improve their performance over time without explicit programming. AI models are trained on large datasets, utilizing methods like supervised learning, where labeled data helps the model learn, or unsupervised learning, where the model identifies patterns independently. This allows AI systems to evolve and adapt continuously.