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Artificial intelligence live online programs –
for artists to engineers

AI courses for professionals and students taught by Stanford, MIT, and leading 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?”

Before this class, I had pictured my college experience lasting four years with me joining a tech company as a software engineer after college. Then Inspirit AI class introduced me to new topics that have inspired me to pursue an advanced degree and work towards a research based job.

Jeremy F.University of Washington

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

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

Program Structure and Fees


Small Group AI Program

Program length: 25 hours, small group learning
Program Fee: $1100


1:1 AI Mentorship Program

Program length: 10 hours, 1:1 Mentorship
Application Deadline: Rolling
Program Fee: $2400


Payment plans available. Email with any questions.

Which AI Innovator Are You?

Explore Inspirit’s Program offerings and find the track that fits your experience and career goals


Interdisciplinary Data Science


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
Political & Social Sciences
Business & Finance
1-on-1 mentorship option available

Machine Learning


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
Biology & Chemistry
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
Program Creator

Emmy Li

Stanford B.S.

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

Harvard Master's, Iowa State PhD Candidate

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.


Sehj Kashyap

Duke, MD candidate Stanford, Master’s in Biomedical Informatics


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.


Data Science Fellow at Duke Institute for Health Innovation.


Akshay Jagadeesh

Stanford PhD Candidate

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.


Theresa Gebert

Harvard B.S., Carnegie Mellon PhD

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.


Clayton Greenberg

Professor at University of Pennsylvania

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.


Ben Choi

Stanford Masters Student, Electrical Engineering

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!


Brianna Chrisman

Stanford PhD Candidate

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.


Samuel Kwong

MS, BS, Stanford

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.

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

Ready to make your impact?

Apply to become an AI Innovator today

AI for Healthcare Professionals Program Starting in December 2023
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