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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 COURSE

AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment

Artificial intelligence is a powerful tool—but without the right system-wide architecture in place to support your initiatives, your organization is leaving value on the table. Featuring interactive exercises, industry speakers, and a hands-on group project, this dynamic five-day course is designed to equip you with the skills and strategies you need to deploy an AI systems engineering approach that maximizes the value of your digital products and services.

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.