Instructor: Dr. Jennie S. Hwang, Ph.D., D.Sc.
H-Technologies Group
Course Overview: Artificial Intelligence is transforming modern manufacturing, creating new opportunities to improve quality, productivity, supply chain performance, and decision-making. This course provides an accessible introduction to AI fundamentals and explores how these technologies are being applied on the manufacturing floor. Attendees will gain practical insights into AI concepts, real-world applications, and strategies for evaluating opportunities and challenges in implementing AI-powered manufacturing solutions.
Topics Include: • AI fundamentals and key concepts
- Machine learning, deep learning, neural networks, digital twins, IoT, generative AI, and AI agents
• Understanding AI capabilities, trust, and practical applications
• Prompt engineering techniques and recommendations
• AI’s impact on the workforce and future roles
• Data quality, management, and its importance in AI implementation
• AI-powered manufacturing concepts and use cases
• Applications of AI in electronics manufacturing
• Benefits, challenges, and implementation considerations
• Future trends, including enterprise opportunities and artificial general intelligence (AGI)
Who Should Attend: This course is designed for professionals at all levels, including engineers, researchers, managers, production, quality, and reliability professionals, executives, and business leaders interested in understanding AI’s impact on manufacturing. No prior AI experience is required. Participants will gain a practical foundation for evaluating AI opportunities and applying AI concepts within electronics manufacturing and beyond.
