The Augmented Lagrangian method is a mathematical optimization technique that combines the penalty method with the method of Lagrange multipliers to handle constrained optimization problems more effectively by transforming them into unconstrained problems. This approach improves convergence properties and robustness, allowing for easier handling of both equality and inequality constraints in large-scale optimization tasks.