Artificial Intelligence - Opportunities, Challenges, Possibilities

The course provides working knowledge and an integrated overview to help make informed decisions about how to navigate into the future of AI, suitable to all who are interested in staying knowledgeable for professional fulfillment including designers, researchers, managers, production, quality and reliability professionals, executives, and business decision-makers; also designed for those who desire broad-based information with holistic perspectives on AI.

IPC offers different instructional modalities to suit participants with different needs and preferences. This program is only available in the following modality:

Online-instructor-led: Participants go online to meet with an IPC-certified industry expert at a fixed time twice per week for the duration of the course. Class sessions are usually 1.5 to 2 hours. Participants can also access a video recording of each class session on their IPC EDGE course dashboard.

An International Hall of Famer of Women in Technogy, Dr. Hwang brings deep knowledge and comprehensive experience to this course through both hands-on and advisory capacities. She has provided solutions to the most challenging issues in production yield and high reliability products, covering commercial and military applications. She is author of seven internationally-used textbooks and 675+ publications; a featured speaker in innumerable international/national events; has received numerous honors/ awards; on Board of NYSE Fortune 500 companies and on various civic, government and university boards and committees (e.g., DoD - Globalization Committee, DoD - Forecasting Future Disruptive Technologies Committee; National Materials & Manufacturing Board; Board of Army Science and Technology; and NIST Technical Assessment Board). She is Chair of AI Committee of National Academies; Chair of National Laboratory Assessment Board; Chair of Assessment Board of Army Research Laboratory; Chair of Assessment Board of Army Engineering Centers; external panel of National AI Institute of NSF. Her formal education includes Harvard Business School Executive Program; four academic degrees in Metallurgical Engineering and Materials Science, Physical Chemistry, Organic Chemistry, and liquid Crystal Science (Ph.D. M.S., M.S., B.S.). She has held senior executive positions with Lockheed Martin Corp. and CEO of International Electronic Materials Corp., among others. She is also an invited distinguished adj. Professor of Engineering School of Case Western Reserve University and serves on the University’s Board of Trustees. Further Info: www.JennieHwang.com