The Galerkin Method is a numerical technique used to convert a continuous operator problem, such as a differential equation, into a discrete system that can be solved computationally. It involves choosing a set of basis functions and projecting the residual error orthogonally onto the space spanned by these functions to minimize the error in an approximate solution.