AI Innovation Fellowship in Machine Learning

Type of Opportunity
Date Posted
December 20, 2021
Current Opportunity
Name, email, phone or other contact info
Adeesh Goel,

AI Innovators, developed and taught by MIT and Stanford graduates, invites students this spring quarter to gain an endorsed technical skillset and complete a shareable AI project. 

The AI Innovation Fellowship in Machine Learning equips students with state-of-the-art machine learning techniques like Regression, Classification, Unsupervised Learning, Natural Language Processing, Neural Networks, and Convolutional Neural Networks. Leveraging these new tools, students build out a professional portfolio with a capstone project, AI + X, that draws on students' unique interest and domain expertise. Students can use AI as a building block for scientific exploration and fashion unique research directions– developing approaches at the intersection of AI and Chemistry to broaden their understanding and intellectual impact to this domain. Adapt AI techniques to explore problems in DNA sequencing and drug discovery. Students will create computational solutions for the expanding world of problems in chemistry, medicine, and more. For more information, please visit

For Spring 2022 cohorts, students attend class once a week during a ten-week period.

  • Jan. 22 – Mar. 26, 8 – 10:30 am PT (Saturdays)
  • Jan. 20 – Mar. 24, 4 – 6:30 pm PT (Thursdays)

If you have any questions, please feel free to contact Adeesh Goel at or call +1 (803) 859-5855.