The IEEE Academy on Artificial Intelligence provides basic knowledge on classic AI, modern AI (machine learning), humanized computing, and semantic computing. On top of the basic modules, it introduces the applications of AI in different verticals such as manufacturing, financial, health, education, etc. by defining the problems and identifying possible AI solutions based on existing and newly developed materials. The learner is guided through a logical continuous path that better ties the concepts and materials together.
The Academy is primarily for members who work in industry and need to understand new technical information quickly so they can apply it to their work. At the completion of the IEEE Academy on Artificial Intelligence, the learner will be able to demonstrate their new knowledge and will earn a certificate.
The IEEE Academy on Artificial Intelligence will focus on the following technical areas:
Phillip Sheu, UCI Samueli School of Engineering
C.-C. Jay Kuo, USC
Robert Reynalds, WSU
David Ostrowski, Ford
Subject Matter Experts
Ajay Bansal, Arizona State University
Joseph Barr, Acronis SCS
Vagelis Hristidis, UC
Humphrey Shi, University of Oregon
Srividya Bansal, Arizona State University
Daniela D'Auria, Free University of Bozen-Bolzano
Fabio Persia, Free University of Bozen-Bolzano
Matthew Eng (Assistant), University of California, Irvine
Dick Bulterman, CWI
Witold Kinsner, University of Manitoba
Alberto Sanchez, Universidad San Francisco de Quito
Louis Gomez, UCLA
Nestor Rychtyckyj, Ford
Vishy Swaminathan, Adobe
For more information, please contact IEEEAcademies@ieee.org.