Artificial intelligence live online programs –
for artists to engineers
AI courses for college students of all majors, taught by Stanford, MIT, and top university researchers.






We developed courses to build fundamental, technical AI skills with no prerequisites.
AI applies to all disciplines – we'll show you how
Choose from ten AI + X tracks, learn in-demand technical skills such as SQL, Python, and Machine Learning fundamentals, and apply them to a real-world AI project of your choosing:
Here’s how it works:

Small Group Instruction
6:1 online classrooms taught by Stanford, MIT, and top university researchers.

Live, Online AI Instruction
25 hours of instruction with featured guest talks and workshops.

Real-World Projects
Projects and portfolio building relevant to your major & future career.
Why become an AI Innovation Fellow?
Our program prepares AI Innovation Fellows to land a job or internship. See how:

Build Technical Foundations
Learn the fundamentals of Artificial Intelligence in Python.
Gain A Recruiting Edge
Learn how AI is applied in different technical and non-technical roles, careers, and domains.
Create an AI Project
Build a portfolio-ready AI project to enhance your professional portfolio.
Join A Vibrant Innovator Community
Connect with researchers, entrepreneurs, and engineers that are already applying AI to a diverse set of problems.
We asked our students
“How did Inspirit affect your career journey?”
Program Dates
The program dates below are for our AI Innovators Small-Group program in Summer 2023. For students opting for a 1:1 AI mentorship option, the dates and times are determined together by the mentor and student.
Summer Program Dates – Weekdays
Weekly, June – Aug 2023 (10 sessions)
Thursdays, June 15 – August 17, 2023 4pm to 6:30pm PT
Tuesdays and Thursdays, July 18-Aug 17, 2023 4 to 6:30pm PT
Summer Program Dates – Weekends
Weekly, June – Aug 2023 (10 sessions)
Saturdays, June 17 – August 19, 2023 8am to 10:30am PT
Sundays, June 18 – August 20, 2023 12:30pm to 3pm PT
Saturdays, July 15 – September 16, 2023 8am to 10:30am PT
Program Structure and Fees
Small Group AI Program
Program length: 25 hours, small group learning
Application Deadline: July 1, 2023
Program Fee: $1100
1:1 AI Mentorship Program
Program length: 10 hours, 1:1 Mentorship
Application Deadline: July 1, 2023
Program Fee: $2400
Payment plans available. Email programs@inspiritinnovator.com with any questions.
Which AI Innovator Are You?
Explore Inspirit’s Fellowship offerings and find the track that fits your experience and career goals

AI INNOVATION FELLOW
Interdisciplinary Data Science
NO CS SKILLS REQUIRED
Add AI to your toolkit and gain an edge on peers in your major! No matter your passion, we have a project that will elevate your interests.
Suitable for majors such as:
Fine & Performing Arts
Education
Political & Social Sciences
Business & Finance
1-on-1 mentorship option available

AI INNOVATION FELLOW
Machine Learning
CS SKILLS PREFERRED
Gain expertise in advanced topics such as AI/ML earlier than peers, nd build out your AI project portfolio!
Suitable for majors such as:
Computer Science
Engineering
Biology & Chemistry
Physics
1-on-1 mentorship option available
Meet our instructor team
Our instructors come from Stanford, MIT, and companies like Microsoft, Apple, Google, and Facebook. Each instructor provides personalized career mentorship and education to our AI Fellows.
“In the program, I was able to hear from AI students and alumni who told us about their education journey ... this program inspired me to go into the Computer Science field!”
Reeti JoshiSanta Rosa Junior College

Stanford B.S.
Emmy has designed sustainable lab materials and been an astrophysics researcher at SLAC, Caltech, and NASA’s Jet Propulsion Laboratory developing precise image resolution for ground-based telescopes.

Kuan-Chuen Wu was born in Taipei, Taiwan, in 1973, and nine years of piano lessons constitute his musical studies.
Mr. Wu has excelled in academia, receiving his bachelor’s degree in electrical computer systems engineering from Harvard University in a five-year honors program, an MBA from Iowa State University, and a master’s degree in computational and mathematical engineering from Stanford University.
He is currently pursuing his doctorate in mechanical engineering from Iowa State. (After graduating from Harvard, he spent five years surfing the dot-com wave before returning to school.) Mr. Wu competed in university-wide competitions at Iowa State.
In 2014, he placed third in the American Protégé International Concerto Competition and in December 2015, performed at Carnegie Hall as part of a winner’s recital. Besides classical piano, Mr. Wu counts chess, mathematics, engineering, and physics among his interests.

Education
Duke, MD candidate Stanford, Master’s in Biomedical Informatics
Industry Experience
Uses data science to support innovations in public health. Led health outcomes research and helped build Noora Health’s technological and research infrastructure to remotely monitor its services and families’ health outcomes across India.
Research
Data Science Fellow at Duke Institute for Health Innovation.

Stanford PhD Candidate
Hi, I’m Akshay! I’m a PhD student studying computational neuroscience at Stanford University. My research focuses on understanding human visual perception – specifically, I’m interested in how the human brain transforms sensory inputs into the rich perceptual experience that we use to guide our behavior. In addition, I love to teach and have taught and designed several courses both at Stanford, and at UC Berkeley, where I received my undergraduate degrees in computer science and cognitive science. In my free time, I love to bike, read, hike, and cook / eat delicious foods.

Harvard B.S.
Carnegie Mellon PhD
Hello, I’m Theresa! I’m originally from Germany and one of four kids. I studied Statistics and Computer Science at Harvard and went on to pursue a PhD in Statistics at Carnegie Mellon. I am really passionate about applying data science to healthcare and teaching probability, statistics, and machine learning. One of my favorite projects was identifying potential cancer drugs using computer vision algorithms on images of human cancer cells. Currently, I am working on analyzing fairness and bias in a healthcare AI system. In my free time, I like catching up with my friends and family, weight lifting and hiking, reading, and painting.

Hi, I’m Clayton Greenberg and I was a professor in the Computer and Information Science department at the University of Pennsylvania. Students are sometimes quite surprised to learn that there is much more to computer science than programming, but this is really an opportunity in disguise. It means that you are capable and welcome to do cool computational projects even if you didn’t learn how to program during kindergarten 🙂 My favorite classes to teach provide students with the mathematical background that they need to be successful in computer science and its young cousin, data science. In my spare time, I like to troll Siri. (My Ph.D. dissertation, Evaluating Humanness in Language Models, focuses on this.) And I like to sing. I did a lot of singing at Princeton, leading to YouTube videos that my students “discover” every semester. Perhaps it was a little too much singing and not enough studying, but this leads to my best advice for college: pick the program that fits you, rather than changing yourself to fit the program.

Stanford Masters Student, Electrical Engineering
Hey I’m Ben! I’m a masters student at Stanford studying Electrical Engineering. I’m really interested in exploring how AI can be used to combat climate change. Specifically, my past research has focused on making cities smarter and more sustainable through prediction modeling and agriculture more productive through computer vision. In my free time, I really enjoy finding new R&B music and taking care of houseplants!

Stanford PhD Candidate, Computational Genomics
Hi! I’m Brianna. I’m a PhD student at Stanford studying computational genomics, which means I write programs, develop algorithms, and build machine learning models to find patterns in DNA and figure out how those patterns relate to diseases or fundamental biology. I also love teaching and mentoring — my students always teach me so many different ways of looking at the world! Outside of research, I love all things outdoors: skiing, rock-climbing, and trail-running.

MS, BS, Stanford, Computer Science
I’m Sam! I build large-scale machine learning systems for autonomous vehicles at Waymo. Previously, I received my MS and BS in Computer Science at Stanford. A fun fact is that I was on the varsity fencing team during my undergrad. I TA’d graduate-level AI courses at Stanford, and to this day teaching has been a passion of mine. https://drive.google.com/file/d/1G2ikx02Hx8KuQX-rJpmM9HJ65K2Jw5Gt/view?usp=sharing
Meet Laasya:
An Inspirit Alum Using AI for Biomedical Research

”I really enjoyed learning about both the AI and the biology behind the software we built. This compounded into an immense passion for the field of MedTech ... Quite literally everything I do now is MedTech motivated – thanks to Inspirit!
Laasya EluriUniversity College London