So, if samples is enough, PAC-learnable, machine could learn!

Concept class(maybe, version space) is a set of concepts, which satisfy the map between given samples and their corresponding given labels(i.e. target concept).

Means concept is just a mapping function. But, every concept belong to concept class is a target class.