Artificial Intelligence and Lean Six Sigma

In this course, you’ll build a practical understanding of AI—from rule-based systems to machine learning, deep learning, and generative AI—and learn how to apply these capabilities directly to real-world process improvement. Discover how AI can enhance decision-making, accelerate analysis, and strengthen every phase of DMAIC. You’ll also learn how to identify high-impact opportunities, sponsor and govern AI-enabled improvement initiatives, and confidently integrate AI tools into your Lean Six Sigma projects. Along the way, we address the real-world challenges, risks, and ethical considerations organizations face when adopting AI—so you can lead with both confidence and responsibility. By the end of this course, you’ll be ready to apply AI to your next Lean Six Sigma project and drive measurable results. LEARNING OUTCOMES Define artificial intelligence (AI) and machine learning in plain language Understand and explain how AI systems are trained using data Recognize examples of AI systems in Lean Six Sigma projects and governance of projects Apply basic privacy and security strategies to navigate AI tools safely and effectively Describe ethical issues and biases related to AI Identify advantages and disadvantages of using AI tools in personal or professional contexts Understand and explain how AI can enhance Lean Six Sigma program governance and project selection Understand and explain how AI can enhance the effectiveness and efficiency of project sponsors Understand and explain how AI can be applied in DMAIC project