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AIMI Summer AI Bootcamp

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The recording of our Stanford AIMI High School Summer Programs (Research Internship & AI Bootcamp) Info and Q&A Session is available below.

Watch the recording here

View our Stanford AIMI 2024 Summer Programs Info Sheet for a summary of our offerings this summer for high school students.

Program Overview

Join us for an enriching and engaging educational experience focused on machine learning in healthcare. Designed for high school learners of all technical levels, this virtual bootcamp offers a curated curriculum that covers the fundamentals of machine learning in healthcare settings. The day-to-day schedule for this virtual 2-week program will consist of:

  • Online learning modules
  • Group discussions
  • Breakout activities with other students
  • Social activities 
  • Virtual Career Lunch and Learns with guest speakers representing academia, industry, non-profit, government. etc. 

Key Learning Topics

  • Why Machine Learning in Healthcare?
  • Concepts and Principles of Machine Learning in Healthcare
  • Evaluation and Metrics for Machine Learning in Healthcare
  • Strategies and Challenges in Machine Learning in Healthcare
  • Best Practices, Teams, and Launching your Machine Learning Journey
  • Foundation Models and Generative AI for Healthcare

Key Dates

  • AIMI Summer 2024 Research Internship and Bootcamp Info Session: January 20th, 2024. Recording available here. This info session is optional and not required to be eligible to apply.
  • Application deadline:  March 31st, 2024 at 11:59pm PT
  • Decision date: Decisions will be sent out around mid-May. All applicants for the 2024 cycle have been notified by email of the result. Please check your spam folder if you have not received communication from our team.
  • Program dates:  June 17-28, 2024 (Mon-Fri, 9am-12pm PT, ONLINE)


  • Must be high school students (entering 9th grade through 12th grade in Fall 2024) 
  • Due to limited space, we are prioritizing students who will be able to commit to participating for the full-day agenda (9am-12pm) throughout the entirety of this 2-week program
  • No coding experience necessary


Apply for the AIMI Summer Bootcamp here

Applications are due March 31st, 2024 at 11:59pm PT. The online application consists of short-essay questions and uploading your CV/resume and unofficial transcript.

Stanford AIMI embraces inclusion, integrity, diversity, and team-science as pillars for success. We encourage students from all backgrounds to apply, particularly students from groups under-represented in AI, including, but not limited to, first generation students, students from varying socioeconomic backgrounds, students with disabilities, students who are members of federally recognized tribes, students who have been underrepresented in the field on the basis of gender identity or expression of sexual orientation, or students with work, educational, or life experiences that contribute to the diversity of the field of AI in medicine.  Applications are open to individuals of all backgrounds and will be reviewed and selections made in conformance with applicable law.

Frequently Asked Questions (FAQs)

Is there an application fee?

There is no fee to apply to or participate in this program.

How many students will be accepted into the program?

We anticipate accepting around 50 students for our 2024 Summer AI Bootcamp.

Do you accept applications after the March 31 deadline?

We receive a high volume of applications during the application period and are not accepting any additional applications past the deadline.

Are international students able to participate?

Due to the overwhelming number of applications we receive, the 2024 program will be geared towards students residing in the US. We invite international students to participate in our year-round NextGen webinar series. 

Can students include letters of recommendation in their application? 

Letters of recommendation are not a requirement to complete the application and therefore may not be considered during the selection process.

Why do I get an error message when trying to access the application link?

You are likely logged into a Google account from an organization that does not allow you to share files outside of your organization. Please double check this setting and if the problem persists, try submitting from a non-restricted account.

I do not have any coding experience. Can I apply for the Summer AI Bootcamp?

Yes, no experience in coding is necessary for participating in the AI Bootcamp. We do, however, encourage students with strong coding backgrounds and who are curious about applications of their technical skills in medicine and healthcare settings to also apply for the AI Bootcamp!

What is the difference between the Summer Research Internship and Summer AI Bootcamp?

The Summer Research Internship geared towards students with strong technical skills and is more project-focused, as students are tasked with solving a practical problem in the AI in medicine space with little guidance. The Summer AI Bootcamp is geared towards learners of all levels who are interested in learning about the fundamentals of machine learning in healthcare, and will be more lecture- and discussion-focused. 

Can I apply for both the Summer Research Internship and Summer AI Bootcamp?

Yes, you may apply for both. If you apply for the Summer Research Internship, you may indicate at the end of the application that you would like to also be considered for the Summer AI Bootcamp, with no an additional application required. Students who apply to the AI Bootcamp this way will be considered equivalent to those who applied to just the Summer AI Bootcamp. If you are only applying for the Summer AI Bootcamp, the Summer AI Bootcamp application is required. 

Are AIMI Summer Programs credit-bearing?

Participation in AIMI Summer Programs is not credit-bearing, meaning that completion of either programs will not directly contribute towards fulfilling academic requirements or earning course credits toward graduation. Instead, it serves as an enrichment opportunity aimed at fostering additional skills and experiences outside the traditional academic curriculum.