This framework takes students from basic counting to complex decision-making: The foundations of AI rest on three mathematical pillars.Numbers & Arithmetic: This is the foundation. It introduces Scalars and the logic of data representation. Students learn how AI treats every input-from a pixel to a word-as a numerical value and uses basic operations to scale and normalize that data for processing.Linear Algebra: This is the engine. It moves beyond single numbers into Vectors and Matrices, allowing the AI to process massive datasets simultaneously. It covers how models "visualize" data in multi-dimensional space to find patterns and relationships.Probability & Statistics: This is the brain. It provides the tools to handle uncertainty. By using distributions and Bayesian logic, the AI learns to make "best-guess" predictions and measure its own confidence when faced with new, unseen information.