AI For Operations Management

Leveraging Artificial Intelligence for Enhanced Operations Management explores the transformative role of Artificial Intelligence (AI) in reshaping modern operational practices. This course provides a comprehensive understanding of how AI-driven technologies are optimizing key operational functions—improving efficiency, reducing costs, and enabling data-informed decision-making across industries. Beginning with a solid foundation in operations management fundamentals, learners will revisit essential concepts such as process design, capacity planning, inventory management, and scheduling, enabling them to contextualize AI applications within traditional operational frameworks. The course then delves into advanced AI-enabled methodologies used across the value chain. Participants will examine how machine learning and optimization algorithms are revolutionizing supply chain management through intelligent sourcing, adaptive logistics, real-time inventory control, and risk mitigation strategies. In the area of demand forecasting, learners will explore cutting-edge machine learning models—including time-series forecasting, regression techniques, and neural networks—to enhance accuracy and improve planning outcomes. A dedicated module on predictive maintenance highlights how AI analyzes sensor data, detects anomalies, and predicts equipment failures to reduce downtime and enhance asset reliability. Learners will also explore AI applications in quality control, including computer vision systems that automate defect detection and machine learning tools that strengthen process monitoring. Through case studies, hands-on exercises, and practical demonstrations using tools like Google Gemini and ChatGPT, learners will gain actionable insights into implementing, evaluating, and managing AI-driven operational solutions. This course is ideal for individuals looking to understand both the strategic and tactical roles of AI in shaping the future of operations management.