This 36-hour advanced course teaches construction professionals to apply artificial intelligence (AI), machine learning, and quantitative risk analytics to improve project decision-making. Building on skills from Construction Data Analytics and Visualization (PC-702), students move beyond descriptive reporting to generate predictive and prescriptive insights that anticipate outcomes, prevent overruns, and enhance project resilience. Through hands-on labs using Power BI AI Visuals, Python notebooks, and Primavera Cloud Risk Analysis, participants perform Monte Carlo simulations, EVM-based forecasting, and trend modeling to identify and mitigate potential project risks. Learners gain the ability to simulate alternate schedules, evaluate uncertainty, and optimize performance across complex construction environments. By course completion, students will develop a Predictive Risk Insight Portfolio—a data-driven capstone showcasing measurable, AI-powered project control and forecasting intelligence.