Transform Lean manufacturing by applying AI to identify and reduce digital Muda across modern operations. This course is designed for manufacturing, operations, and transformation professionals who want to extend Lean principles into data, software, cloud, and AI-driven workflows.

You’ll examine how digital waste emerges through excessive information, system delays, unnecessary data movement, complex interfaces, unused data, navigational friction, defects, and underutilized talent. Learn how predictive analytics, edge computing, natural language interfaces, anomaly detection, process mining, lifecycle governance, and intelligent automation can help reduce these inefficiencies. You’ll apply AI-driven methods to classify digital Muda, analyze workflow bottlenecks, reduce over-processing and repetitive work, compress workflows, and optimize resource utilization. You’ll also evaluate practical KPIs, sustainable AI, governance, self-healing systems, and increasingly autonomous operations. By the end of the course, you’ll be able to identify digital waste, select appropriate AI reduction strategies, evaluate performance, and support smarter, sustainable, and governed Lean operations.