Foundations of Gen AI in Manufacturing

Introduces generative AI fundamentals and the concept of the ‘1-Degree World,’ emphasizing connectivity, causal methodology, and the evolving roles of people and leaders in manufacturing. Explores ethical and governance issues, impacts across key business functions, and prepares learners to plan workforce transformation and AI adoption in subsequent, more technical units.

Learning Objectives

• Analyze core concepts of generative AI and the ‘1-Degree World,’ including connectivity and causal methodology, to explain their potential impacts on advanced manufacturing systems and decision-making processes.
• Evaluate ethical, governance, and leadership considerations by assessing case scenarios and recommending responsible AI practices that align with organizational culture and size-specific constraints.
• Apply causal reasoning and predictive-analytics principles to solve simulated manufacturing decision problems that improve operations, product development, customer service, or HR processes.
• Develop a high-level AI adoption and workforce transformation roadmap for a small, medium, or large manufacturing organization that includes upskilling strategies, change management actions, and cross-department collaboration steps.