OPEN HOUSE
Machine Learning &
Artificial Intelligence
Our Professional Certificate Program in Machine Learning & Artificial Intelligence equips professionals worldwide with cutting-edge expertise in AI, covering advancements such as agentic AI, deep learning, and algorithmic modeling to address real-world challenges.
Join our upcoming live virtual open house to:.
- Connect with MIT faculty who lead the program.
- Learn about the certificate’s curriculum, and program opportunities.
- Determine how the program can help solve your unique challenges.
- Ask your questions and receive real-time answers.
Join the Virtual Open House
Complete the form below to register for the live Open House event now.
DATE
January 27, 2026
TIME
12:00 PM - 01:00 PM EST
Wondering if the certificate is
right for you?
Our open house is your chance to:
Hear from MIT faculty who lead the program—top MIT researchers, who are working on the forefront of machine learning and artificial intelligence
Learn about the certificate’s curriculum, hands-on 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
Virtual Open House
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.
Key Faculty Speakers & Instructors
Join us for an engaging session featuring our distinguished instructors.
David Martinez
Laboratory Fellow Cyber Security and Information Sciences Division, MIT Lincoln Laboratory
Ben Waber
President and Co-Founder, Humanyze, Visiting Scientist, MIT Media Lab
Julian Shun
Associate Professor Electrical Engineering and Computer Science, Computer Science and Artificial Intelligence Laboratory
Justin Solomon
Associate Professor of Electrical Engineering and Computer Science, Member, Computer Science and Artificial Intelligence Laboratory (CSAIL)
"You're surrounded by folks that are living in this world of AI and machine learning. I'm probably one of the least-experienced folks in the room - that gives me an incredible opportunity to learn from others. That's something that you don't really get when you're doing an online program."
DIRECTOR, ENABLING SOLUTIONS| Prudential Insurance
Certificate Teaching Team
Join our Certificate Teaching Team and help aspiring educators thrive! Engage with passionate individuals, share your expertise, and create a collaborative learning environment. Be part of a dynamic team shaping the future of education through innovative methods and hands-on experiences.
Pulkit Agrawal
Associate Professor, Department of Electrical Engineering and Computer Science, MIT; Head, MIT Improbable AI Lab
Wojciech Matusik
Professor, Department of Electrical Engineering and Computer Science, MIT; Lead, Computational Design and Fabrication Group, MIT
Brian Anthony
Principal Research Scientist, Department of Mechanical Engineering, MIT; Director, Master of Engineering in Manufacturing Program, 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
Regina Barzilay
Distinguished Professor for AI and Health, Department of Electrical Engineering and Computer Science, MIT; AI Faculty Lead, Jameel Clinic
Julian Shun
Associate Professor, Department of Electrical Engineering and Computer Science, MIT; Principal Investigator, MIT Computer Science & Artificial Intelligence Lab
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
Vivienne Sze
Professor, Department of Electrical Engineering and Computer Science, MIT; Principal Investigator, MIT Computer Science & Artificial Intelligence Lab
Munther Dahleh
William A. Coolidge Professor, Department of Electrical Engineering and Computer Science, MIT; Director, MIT Institute for Data, Systems, and Society
Antonio Torralba
Delta Electronics Professor of Electrical Engineering and Computer Science, MIT; Principal Investigator, MIT Computer Science & Artificial Intelligence Lab
Chuchu Fan
Associate Professor, Department of Aeronautics and Astronautics, MIT; Principal Investigator, Laboratory for Information & Decision Systems
John Tsitsiklis
Clarence J. Lebel Professor, Department of Electrical Engineering and Computer Science, 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
Caroline Uhler
Andrew (1956) and Erna Viterbi Professor, 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
David R. Martinez
Laboratory Fellow Cyber Security and Information Sciences Division, MIT Lincoln Laboratory
About MIT Professional Education
For more than 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 online 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
