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MIT Professional Education offers lifelong learning opportunities for professionals globally—whether on-campus, online, in an international location, or at your company site.

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FEATURED EVENT

Virtual Open House: AI System Architecture and Large Language Model Applications

AI System Architecture and Large Language Model Applications is a five-day, live online course taught by MIT Lincoln Lab fellow David Martinez. Participants will deepen their understanding of AI architecture and gain hands-on experience with the tools, skills, and strategies that are integral to successfully deploying LLMs. Wondering if this course is right for you? Sign up for our Live Virtual Open House on September 27th at 12:00 PM EDT.

News

Bhaskar Pant Named an MIT Excellence Award Winner for 2024

MIT Professional Education is proud to announce that Executive Director Bhaskar Pant has received a 2024 MIT Excellence Award – one of the highest honors presented to staff on behalf of the Institute in recognition of their high impact on the MIT community.

Pant was recognized in the "Embracing Diversity, Equity, and Inclusion" category, which acknowledges individuals who maximize MIT's strengths by nurturing cultural sensitivity, embracing diverse backgrounds and viewpoints, and fostering collaborative environments.

Instructor Spotlight

Charles E. Leiserson

Professor Charles E. Leiserson is the Professor of Computer Science and Engineering in the MIT Department of Electrical Engineering and Computer Science and head of the Supertech research group in the MIT Computer Science and Artificial Intelligence Laboratory. Leiserson’s research centers on the theory of parallel computing, especially as it relates to engineering reality.

News

The Massachusetts Institute of Technology’s Vivienne Sze on how to take greatest advantage of deep learning systems.

Unleashing The Power Of Deep Learning

While it is clear that deep learning (a core technology used in AI-enabled applications) can deliver tangible results, the technology’s applications are still being constrained in several different directions.

Many of the limitations in terms of accuracy and ability can be addressed in the coming years as programmers and designers refine their algorithms and pile on more training data.