23TSB303-Generative AI (Class B)

Generative AI is an emerging field within Artificial Intelligence that focuses on building models capable of creating new data such as images, text, audio, and videos. This subject introduces students to the foundational concepts of generative systems, including how these models learn patterns from data and generate realistic outputs. It also covers the evolution of generative techniques, key applications across industries, and the ethical considerations associated with their use. Students will gain a strong grounding in probability and statistics, including concepts like random variables, probability distributions, maximum likelihood estimation, and Bayesian inference, which are essential for understanding how generative models work.