AI models that can produce
new content based on patterns they have discovered from preexisting data are
referred to as generative AI. Generative models, such as Generative Adversarial Networks
(GANs), Variational Autoencoders
(VAEs), and transformer models like GPT, can produce data that matches
the features of the training dataset, in contrast to standard AI models that
rely on predetermined rules. For this reason, generative AI courses have become essential in a number of industries,
including computing, design, health, and the arts.