cloud computing

Students learn how AI systems perform tasks that typically require human thinking — like recognizing patterns, making decisions, and understanding language — by learning from large amounts of data rather than following rigid scripts. They discover that algorithms are the step-by-step instructions at the heart of every AI system.

Students learn that every AI system is built on three essential building blocks: data (large, organized collections of information), models (which learn patterns from data), and computing power (special hardware that trains and runs AI). They explore how the size and quality of a dataset directly affects AI performance.

Students learn how AI improves through reinforcement learning — a process of trying things, getting feedback, and gradually getting better — and how simulations provide safe, virtual environments where AI can practice tasks and make mistakes without causing real-world harm.