Trust vs. Verify – Using AI in Investment Decisions equips investment professionals to evaluate, validate, and responsibly integrate AI into portfolio management and trading workflows. The course explores how machine learning, NLP, and deep learning models enhance forecasting, optimization, and real-time risk detection—while highlighting the systemic risks, biases, and governance challenges they introduce. Learners gain practical skills in model verification, explainability, data quality assurance, regulatory compliance, and human-in-the-loop oversight. By the end, participants can confidently balance AI-driven automation with fiduciary responsibility, ensuring transparent, ethical, and resilient investment decisions.