Introduction to Artificial Intelligence for Business Professionals

E-mail: execinfo@gmu.edu

Phone: 703-993-2109

Fax: 703-993-2121

Course launches Spring 2019

What is Artificial Intelligence (AI)? What is applied Artificial Intelligence? How is it changing business? How can executives and leaders understand and use AI in business?

With a powerful and easy to understand methodology, participants will learn about the basics of Artificial Intelligence and gain insights about key technologies, such as machine learning and deep learning. Participants will understand the conceptual framework and the theory of applied Artificial Intelligence.

This course will build the foundational knowledge to use the Artificial Intelligence centric thinking to develop business strategies and business models. Equipped with this knowledge, participants will be able to understand the state of the industry.

The course covers major recent developments and prepares you for other function specific courses.
The 2018 AIAI Learning System for Business Cognitist Program is included in your tuition for this course. The materials will be provided to you as the course begins.

The AIAI Learning System captures the revolutionary methodology to become an AI business practitioner. Specifically targeted for adult learners, this system facilitates learning and helps students understand and apply the key principles.
This course is suitable for individuals who does not have background in AI, Data Sciences, or Machine Learning
  • Introduction to Artificial Intelligence
  • History of Artificial Intelligence
  • Artificial Intelligence in Business
  • Introduction to Algorithms – A non-technical overview
  • Knowledge Representation and Reasoning
  • Machine Learning – A Business Person’s Viewpoint (non-technical)
  • The Future of Artificial Intelligence
To receive a Certificate of Completion, participants must complete any assessment, module, or exercise specified by the instructor before the assigned deadline.

Certification is granted based upon attendance and the completion of a group exercise performed on a case study. The case study is provided and discussed in class.
Al Naqvi

Al Naqvi is a full-time professor at the American Institute of AI. He is the author of several books, book chapters, and journal articles in AI. His research focus is in deep learning, NLP, neural networks, and reinforcement learning. On the applied side, Naqvi’s research focus is on financial markets and supply chains. Using AI, Naqvi’s research is improving investment analysis by deciphering investor expectations via a technical and fundamental analysis of stocks. He has developed body of knowledge in various applied AI fields including marketing, supply chain, human resources, finance, and strategy/competitive intelligence. He is one of the most sought-after speakers at AI conferences and seminars. Professionals from over 300 companies have benefited from Naqvi’s trainings. Naqvi’s doctorate studies are from University of Liverpool with research focused on Applied AI. He holds MBA, MA in Political Science, and BS in Physics and Math. His machine learning training is from Stanford. He is a certified turnaround analyst and holds executive certificate from Darden, UVA.

J. Mark Munoz

J. Mark Munoz is a graduate of MBA and PhD in Management. He is Chancellor for International Operations at American Institute of AI and a tenured Full Professor of Management and International Business at Millikin University in Illinois, and a former Visiting Fellow at the Kennedy School of Government at Harvard University. He is a recipient of several awards including four Best Research Paper Awards, an international book award, a literary award, and the ACBSP Teaching Excellence Award among others. In 2016, he was recognized as the Distinguished Business Dean by the Academy of Global Business Advancement (AGBA). Aside from top-tier journal publications, he has authored/edited/co-edited more than twenty (20) business books including : Handbook on the Geopolitics of Business, Managerial Forensics, Advances in Geoeconomics, Global Business Intelligence and Business Strategy in the Artificial Intelligence Economy. He is Chairman/CEO of the international management consulting firm Munoz and Associates International and serves in several corporate boards worldwide. He is an Advisor to the AI Initiative at Harvard University.
Online Registration Coming Soon.

Additional Discounts: George Mason University Alumni are eligible for a 10% discount. Group discounts are also available for organizations registering three or more people for the same course.

For additional information, please contact us at execinfo@gmu.edu or (703) 993-2109.
 

 

Course launches Spring 2019. Online registration coming soon.

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