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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.

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Wondering if the certificate is right for you?

Our on demand open house is your chance to:

Hear from 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

Certificate Teaching Team

Pulkit Agrawal Associate Professor, Department of Electrical Engineering and Computer Science, MIT; Head, MIT Improbable AI Lab

Brian Anthony Principal Research Scientist, Department of Mechanical Engineering, MIT; Director, Master of Engineering in Manufacturing Program, MIT

Regina Barzilay Distinguished Professor for AI and Health, Department of Electrical Engineering and Computer Science, MIT; AI Faculty Lead, Jameel Clinic

Richard D. Braatz Edwin R. Gilliland Professor of Chemical Engineering, MIT; Associate Faculty Director, Center for Biomedical Innovation, MIT

Markus J. Buehler Jerry McAfee (1940) Professor in Engineering, MIT; Professor of Civil and Environmental Engineering, MIT

Munther Dahleh William A. Coolidge Professor, Department of Electrical Engineering and Computer Science, MIT; Director, MIT Institute for Data, Systems, and Society

Chuchu Fan Associate Professor, Department of Aeronautics and Astronautics, MIT; Principal Investigator, Laboratory for Information & Decision Systems

Tommi S. Jaakkola Thomas Siebel Professor of Electrical Engineering and Computer Science; Principal Investigator, MIT Computer Science & Artificial Intelligence Lab

Stefanie Jegelka Associate Professor, Department of Electrical Engineering and Computer Science, MIT

Andrew Lawrie Associate Professor, Department of Mathematics, MIT

David R. Martinez Laboratory Fellow, Cyber Security and Information Sciences Division, MIT Lincoln Laboratory

Wojciech Matusik Professor, Department of Electrical Engineering and Computer Science, MIT; Lead, Computational Design and Fabrication Group, MIT

Devavrat Shah Andrew (1956) and Erna Viterbi Professor, Department of Electrical Engineering and Computer Science, MIT; Principal Investigator, MIT Institute for Foundations of Data Science

Julian Shun Associate Professor, Department of Electrical Engineering and Computer Science, MIT; Principal Investigator, MIT Computer Science & Artificial Intelligence Lab

Suvrit Sra Ester and Harold E. Edgerton (1927) Career Development Associate Professor, Department of Electrical Engineering and Computer Science, MIT; Faculty Principal Investigator, Laboratory for Information & Decision Systems

Vivienne Sze Professor, Department of Electrical Engineering and Computer Science, MIT; Principal Investigator, MIT Computer Science & Artificial Intelligence Lab

Antonio Torralba Delta Electronics Professor of Electrical Engineering and Computer Science, MIT; Investigator, MIT Computer Science & Artificial Intelligence Lab

John Tsitsiklis Clarence J. Lebel Professor, Department of Electrical Engineering and Computer Science, MIT; Principal Investigator, Laboratory for Information & Decision Systems

Caroline Uhler Andrew (1956) and Erna Viterbi Professor of Engineering, Department of Electrical Engineering and Computer Science, MIT; Core Faculty, MIT Institute for Data, Systems, and Society

Ben Waber Visiting Scientist, MIT Media Lab; Co-Founder, Humanyze

Cathy Wu Thomas D. and Virginia W. Cabot Career Development Associate Professor of Civil and Environmental Engineering, MIT; Core Faculty, Institute for Data, Systems, and Society

About MIT Professional Education

For 75 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 live virtual and on-campus courses 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 Corporate Programs designed specifically for their companies. For more information, please visit professional.mit.edu.