We introduce an inverse design approach based on minimal theoretical modeling, direct numerical simulations and artificial intelligence techniques for the investigation of biolocomotion in fluids. Its application to the characterization of inertial aquatic phenomena and to the identification of optimal swimming gaits and morphologies is presented.