Professional Certificate Program in Machine Learning & Artificial Intelligence

Healthcare. Transportation. Manufacturing.

Virtually every industry is being disrupted by rapid advances in artificial intelligence and machine learning. Learn how to keep pace in our Professional Certificate Program in Machine Learning & Artificial Intelligence. This is your chance to explore cutting-edge developments in the field—from predictive analytics to deep learning to algorithmic methods—and create strategies for building effective AI systems. 

Wondering if the certificate is right for you? Our virtual open house is your chance to: 
 

• Connect with the prestigious MIT faculty who lead the program—top educators, researchers, and industry practitioners who are working on the forefront of machine learning and artificial intelligence
• Learn about the certificate’s curriculum, activities, and networking opportunities and how they can help you identify and act on new opportunities in your industry
• Determine how the program can help you transform your career and solve your unique challenges
• Ask your questions and receive real-time answers from the certificate coordinators and instructors

 
Questions? Contact us at shortprograms@mit.edu. 

Certificate Teaching Team

Pulkit Agrawal is an Assistant Professor of Electrical Engineering and Computer Science at MIT and head of the Improbable AI Lab at MIT’s Computer Science and Artificial Intelligence Laboratory.

Brian Anthony is Director of MIT’s Master of Engineering in Manufacturing Program, Co-Director of the Medical Electronic Device Realization Center, and Deputy Director for the MIT Skoltech Initiative.

Richard D. Braatz is the Edwin R. Gilliland Professor of Chemical Engineering at MIT.

Philip Isola is an Assistant Professor in the Department of Electrical Engineering and Computer Science at MIT.

Tim Kraska is an Associate Professor of Electrical Engineering and Computer Science at MIT, Member of Computer Science and Artificial Intelligence Laboratory (CSAIL), and Founding Co-Director, Data System and AI Lab (DSAIL)

David R. Martinez is a Laboratory Fellow in the Cyber Security and Information Sciences Division at MIT Lincoln Laboratory.

F. Dale Morgan is a Professor of Geophysics in the Department of Earth, Atmospheric, and Planetary Sciences at MIT.

Julian Shun is an Associate Professor of Electrical Engineering and Computer Science at MIT
and Lead investigator in MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

Justin Solomon is an Associate Professor of Electrical Engineering and Computer Science and Principal Investigator at MIT’s Computer Science and Artificial Intelligence Laboratory.

David Sontag is the Hermann L. F. von Helmholtz Career Development Professor in the Institute for Medical Engineering and Science and an Assistant Professor in the Department of Electrical Engineering and Computer Science at MIT.

Suvrit Sra is an Associate Professor in the Department of Electrical Engineering and Computer Science and a Principal Investigator in the Laboratory for Information and Decision Systems at MIT.

Vivienne Sze is an Associate Professor in the Department of Electrical Engineering and Computer Science at MIT.

Antonio Torralba is a Professor of Electrical Engineering and Computer Science and the MIT Director of the MIT-IBM Watson AI Lab.

Bernhardt L. Trout is the Raymond F. Baddour, ScD, (1949) Professor of Chemical Engineering and Director of the MIT Society, Engineering, and Ethics Program.

Cathy Wu is the Gilbert W. Winslow Career Development Assistant Professor of Civil and Environmental Engineering at MIT.

Seongkyu Yoon is a Professor in the Department of Chemical Engineering at MIT and the Ward Endowed Professor in Biomedical Sciences at UMass Lowell.

ABOUT MIT PROFESSIONAL EDUCATION 

For 70 years, MIT Professional Education has been providing technical professionals worldwide a gateway to renowned MIT research, knowledge, and expertise, through advanced education programs designed specifically for them. In addition to industry-focused, two-to-five-day courses on campus through Short Programs, MIT Professional Education offers professionals the opportunity to take online and blended learning courses through Digital Plus Programs, attend courses abroad through International Programs, enroll in regular MIT academic courses through the Advanced Study Program, or attend Custom Programs designed specifically for their companies. For more information, please visit professional.mit.edu.