AI Optimization & Experimental Methods

Advanced analytics teams don't rely on a single technique — they combine AI-driven optimization, causal inference, and probabilistic simulation to solve problems that simpler methods can't touch. In this course, you will build that multi-method capability. You will apply ensemble AI techniques and linear programming to prescribe optimal actions, use propensity-score matching and causal discovery to confirm that your insights reflect true cause-and-effect relationships, and run Monte Carlo simulations to quantify risk and uncertainty in your recommendations. Along the way, you will evaluate t…