AI for Manufacturing Leaders
Friday, September 18, 2026, 8:30 am to 12:30 pm
Presented by EDA & Michigan Manufacturing Technology Center (MMTC)
Location: Municipal Office Center, Conference Room 408, 100 McMorran Boulevard, Port Huron, Michigan 48060
AI FOR MANUFACTURING LEADERS
Training Course Presented by the Michigan Manufacturing Technology Center
REGISTRATION FEE: $495 per person
GRANT REIMBURSEMENT AVAILABLE THAT WILL COVER THE ENTIRE REGISTRATION FEE
DESCRIPTION: This course equips manufacturing leaders with the knowledge and tools to strategically integrate AI into their organizations. Participants will gain a practical understanding of Generative AI (GenAI), its capabilities, and its limitations. Through interactive discussions and hands-on exercises, leaders will explore AI’s role in design, operations, quality, and decision-making while learning how to measure business impact, manage risk, and safeguard intellectual property. The course emphasizes responsible implementation aligned with the NIST AI Risk Management Framework, helping organizations balance innovation with governance, cybersecurity, and workforce readiness.
OBJECTIVES: By the end of this course, participants will have a foundational understanding of Generative AI (GenAI) and its distinction from traditional automation and analytics. They will be able to identify opportunities to apply AI in key manufacturing areas such as design optimization, operations efficiency, and quality improvement. Participants will learn how to evaluate and measure the business impact of AI initiatives while managing associated risks, including cybersecurity, data privacy, and intellectual property protection. In addition, they will gain familiarity with the NIST AI Risk Management Framework (Govern, Map, Measure, Manage) and learn how to integrate AI systems and usage into existing IT policies and workforce development plans to enable secure, sustainable, and responsible adoption.
COURSE KEY TOPICS:
• What is Generative AI
• Practical applications of AI in manufacturing
• Business AI readiness: technology, workforce, and safety
• AI risks: errors, bias, and hallucination
• Measuring AI effectiveness and business impact
• AI deployment options
• NIST AI Risk Management Framework
• Building an AI-ready workforce and culture
TARGET AUDIENCE: Business Leadership, Technology Implementers, Project Managers, IT Managers, Supply Chain Managers, Plant Operations Management, Quality Control Managers, Maintenance Supervisors, or anyone else in a leadership position who is interested in leveraging AI to improve efficiency, quality, and competitiveness in their operations.
