AI Innovators – Interdisciplinary Data Science Track
Who Are You?
You are a highly motivated student in any domain who wishes to learn more about artificial intelligence without the intimidating environment of grades, harsh deadlines, and rigid requirements.
As an AI Innovator in Interdisciplinary Data Science, you strive to learn cutting-edge techniques to take back to your domain and transform the way work gets done.
Course Outcomes
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Endorsed ML and Data Science Skillset
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Shareable AI Project Portfolio
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AI Career Development Workshops
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Personalized Instruction from Stanford & MIT Alumni
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Exclusive Access to the AI Innovators Network
Suggested Majors
Suggested majors for this program include:
Education
Political & Social Sciences
Business & Finance
Prerequisites
Here at Inspirit Innovators, we believe there should be no hurdles to learning AI.
That’s why we have no formal prerequisites for our AI Program in Interdisciplinary Science. However, previous exposure to coding and data science is a plus.
How did the Inspirit Program affect your career journey?
“I worked on the Siri project at Inspirit. It was significant to me because all my previous AI projects involved working with images, which meant this text-based project gave me a new insight on just how many places AI can be applied.”
Brandon Z.University of Illinois at Urbana-Champaign / Siri Project
“The summer program was a great experience... I enjoyed dwelling on ethical questions and learning about applications of AI directly from people working to create them.”
Ananya G.Princeton University / Fake News Detection Project
“I collaborated on an AI project focused on social justice ... The program enhanced my interest in pursuing a degree in Computer Science during my freshman year at Stanford.”
Kalissa G.Stanford University / Criminal Justice Project
AI Innovation Course Schedule
Explore a sample Machine Learning Program curriculum to learn more about how the Inspirit Innovators program prepares STEM-focused students for careers in AI.
PHASE 1
AI Foundations
The first half of the course concentrates on mastering foundational concepts, developing proficient programming skills, and implementing practical techniques to grant you the knowledge and intellectual flexibility of an AI expert.
PHASE 2
AI + X Project
The second half of the course revolves around learning to skillfully apply AI to your own domain of interest and employing your newly developed expertise to enhance your passions.
Meet Ethan:
An Inspirit Instructor Designing AI for Security & Privacy
How did you choose what you studied in college? How did you end up studying AI?
“I started with breadth: which is why I’m on track to graduate with an EECS degree. Then I took a couple of specialized classes, including the Al class practically by accident.
After taking the Al class with friends, I realized how much I enjoyed it, which lead me to take more classes and become much more involved (including research and work experience).
Although unplanned, the very first class I took on Al was the stepping stone into my current career.”
What research/industry work within AI have you focused on?
“Real-time detection for an embedded device (work experience that included efforts towards a space mission), and exploring Neural Net Splitting for model infringing, and manipulating models for feature determination and removal of hidden biases.”