Transform Lean operations with AI to reduce waste, improve quality, strengthen continuous improvement, and build smarter operational systems.
Learn how AI-powered Lean manufacturing, Kaizen, Intelligent Jidoka, predictive quality, and MLOps can improve modern operations.
This Specialization connects established Lean principles with artificial intelligence, machine learning, process mining, computer vision, digital twins, edge AI, intelligent automation, and production AI practices.
You’ll learn to identify digital Muda, uncover operational bottlenecks, enhance root cause analysis, and use AI to strengthen continuous improvement. Explore Intelligent Jidoka, anomaly detection, predictive quality, sensor fusion, AI-enhanced Statistical Process Control, and self-correcting production systems.
You’ll also examine how Lean thinking applies to AI value streams, including data preparation, model development, deployment, monitoring, concept drift, and feedback. Throughout the Specialization, you’ll evaluate governance, explainability, security, sustainability, workforce trust, and human oversight.
By completion, you’ll be prepared to evaluate and improve AI-enabled operational systems while connecting technology initiatives with measurable Lean and business outcomes.
Projet d'apprentissage appliqué
Through practical, industry-focused projects, learners will analyze digital Muda, identify operational bottlenecks, apply AI-powered root cause analysis, evaluate intelligent defect detection and predictive quality solutions, and optimize AI value streams. These projects will simulate real-world manufacturing and operational challenges, enabling learners to recommend measurable improvements using Lean principles, intelligent automation, and MLOps strategies.
