About
Feeling the pinch from seismic disruptions across all lines of business, organizations are fast-tracking AI projects and are thirsty for solutions to their most pressing challenges. IDC forecasts the AI market will break the $500 billion mark by 2024. This signals that the race for AI-capable talent is on. This program is designed to provide a comprehensive overview of AI in both theory and practice with a focus on modern computational techniques for representing task-relevant information and making intelligent decisions. As a participant, you’ll develop AI problem-solving skills that are applicable across a large range of information systems to help you and your organization stay competitive in this rapidly evolving landscape.

Register for this informative webinar to learn more about the upcoming Artificial Intelligence program from Carnegie Mellon University’s School of Computer Science Executive Education.
When
Mon, May 9, 2022 · 9:30 AM Eastern Time (US & Canada) (GMT -4:00)
Agenda
  • Get introduced to the pioneering faculty who created the course
  • Gain a deeper understanding of the topics covered in the program
  • Become more familiar with the learning experience
  • ...and so much more!
Presenters
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Reid Simmons
Research Professor and Director of the Bachelor Science in Artificial Intelligence (BSAI), Carnegie Mellon University, School of Computer Science
Reid Simmons is a Research Professor and Director of the BSAI at Carnegie Mellon University School of Computer Science. As head of the Reliable Autonomous Systems Lab, the research investigates developing reliable, highly autonomous systems (especially mobile robots) that operate in rich, uncertain environments. As well as being a research professor at CMU, he served as Program Director at the National Science Foundation, overseeing the National Robotics Initiative and Smart and Autonomous Systems programs. He has contributed to hundreds of publications related to AI and has several decades of research experience in the field. He holds a PhD in Artificial Intelligence from the Massachusetts Institute of Technology (MIT).
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Stephanie Rosenthal
Assistant Teaching Professor, Carnegie Mellon University School of Computer Science
Stephanie Rosenthal is an Assistant Teaching Professor at Carnegie Mellon University School of Computer Science. She has many years of experience in higher education, teaching robotics, artificial intelligence, and applied data analytics. Her practitioner experience includes industry and government, with organizations such as Microsoft, Intel, the Department of Defense, and a robotics startup. Her research on AI and human–computer interaction aim to improve the decision making and performance of intelligent systems. She holds a PhD in Computer Science from Carnegie Mellon University.