Artificial Intelligence in Boston, MA

Discover the cutting edge of technology and human behavior with artificial intelligence

Summer Springboard program located in Boston, MA

Program Highlights

Dive deep into the complex algorithms of how AI and machine learning really work.
Use basic Python coding to unlock machine learning, and discover ultimately how it impacts our world.
Use tools like TensorFlow to apply probability and statistics to data sets.
Explore creative ways that AI is applied to data, tools and services, and actually use AI to enhance the final project.
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Tuition:

Residential Price: $4,998 USD (+ supplemental fees)

Extended Commuter Price: $3,398 USD (+ supplemental fees)

Commuter Price: $2,798 USD (+ supplemental fees)

Dates:

Late June: June 27-July 9, 2021

Early July: July 11-July 23, 2021

Late July: July 25-August 6, 2021

Location:

Multiple Campuses
Boston, MA

Course Overview

Artificial Intelligence (AI) and Machine Learning (ML) are hot topics in the world of cybersecurity today.  A report from World Economic Forum (WEF) states that the growth of artificial intelligence could create 58 million net new jobs in the next few years!

Meet with experts in the artificial intelligence industry to learn more about majors and careers. Learn firsthand what it’s like to work in a world where machines can become reality. Excursions may include visits to companies utilizing AI for real world applications or research facilities pioneering undiscovered innovations in the Boston area.

Meet your instructor

Instructor

Shubhendu Trivedi, Ph.D.

Dr. Shubhendu Trivedi is a researcher at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. His research interests include Metric and Similarity Learning, Low-Shot Learning, Group Equivariant Neural Networks, and Structured Prediction. He received his Ph.D. from the University of Chicago where he earned a prize for his teaching in the Computer Science department. Dr. Trivedi was also a fellow at the Institute for Computational and Experimental Research in Mathematics at Brown University. He has been published in numerous academic journals for his work on machine learning and deep neural networks.

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Summer Springboard pre-college Summer Program