This article provides a historical perspective of the field of adaptive control over the past seven decades and its intersection with learning. A chronology of key events over this large time-span, problem statements that the field has focused on, and key solutions are presented. Fundamental results related to stability and robustness of adaptive systems and learning of unknown parameters are sketched. A brief description of various applications of adaptive control reported over this period is included.