Master AI and Operations Management to build smarter, more resilient, and increasingly autonomous business operations.
Apply AI to demand forecasting, asset maintenance, supply chain resilience, and intelligent process automation.
This Specialization develops practical knowledge for using AI, machine learning, IoT, digital twins, Industry 4.0, and intelligent automation across modern operations. You’ll explore AI-driven demand intelligence and forecasting, prescriptive asset maintenance, self-healing supply chains, and Intelligent Process Automation.
Learn how techniques such as demand sensing, anomaly detection, remaining useful life estimation, reinforcement learning, inventory optimization, RPA, NLP, OCR, computer vision, generative AI, and agentic AI support operational decisions.
You’ll also examine MLOps, process orchestration, cybersecurity, explainable AI, governance, human oversight, scalability, and operational resilience. By completing the Specialization, you’ll be prepared to identify high-value AI opportunities, evaluate intelligent operating models, and develop phased strategies for more predictive, responsive, resilient, and automated operations.
Übungsprojekt
Through practical, scenario-based projects, learners will apply AI-driven demand forecasting, predictive and prescriptive maintenance, self-healing supply chain strategies, and intelligent process automation to solve realistic operational challenges. Projects will focus on improving forecast accuracy, reducing equipment downtime, strengthening supply chain resilience, and designing scalable automation solutions that enhance efficiency, decision-making, and business performance.
