Artificial Intelligence (AI) learns from data in a way that is similar to how humans learn from experience 🧠📚. First, AI is given a large amount of data, such as images 🖼️, text 📝, numbers 🔢, or sounds 🎧. This data helps the AI understand patterns and relationships. AI uses machine learning algorithms to analyze the data 🔍. During training, the AI makes predictions and then checks if they are correct ✅❌. If it makes a mistake, it adjusts its rules to improve next time 🔄. This process repeats many times until the AI becomes accurate and reliable 🎯. There are different ways AI learns: Supervised learning: learning with labeled data 🏷️ Unsupervised learning: finding patterns without labels 🧩 Reinforcement learning: learning through rewards and penalties 🏆⚠️ Over time, AI becomes smarter and can make decisions, recognize speech 🗣️, identify images 👁️, recommend content 📲, and much more 🚀. https://youtu.be/O_dJ9fxI5FM