Why do we maximize likelihood of theta in logistic regression?

Very new to the topic.
I do not understand why we want to maximize the likelihood of the parameter theta: isn't the likelihood we care about just the likelihood of output y? What is the point of maximizing the parameter's likelihood?

Apologies if this is a silly question and thank you so much for your input

datascience likelihood logistic regression regression