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Veritas AI Deep Dive: AI + Medicine

Veritas AI

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Bootcamp
Remote•£££
4d•Y9, 10, 11, 12
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Curious how AI can transform medicine? Join a small-group online bootcamp to build machine-learning models from real clinical datasets, explore diagnosis, imaging and genomics, gain practical Python skills, mentor feedback and a standout project for university or career applications.

Deadline in 13 daysPrize: Eligibility for post-baccalaureate credit through University of California, San Diego Extended Studies for students who successfully complete the program.

Veritas AI Deep Dive: AI + Medicine is a specialist online programme for high school students who already have AI Scholars experience or prior Python knowledge. Working in small groups with mentors, students use real public clinical datasets to explore how machine learning can support healthcare, with a focus on diagnosis, medical imaging, genomics and other real-world applications.

The programme runs for 10 sessions of 2. 5 hours over 10 weeks, delivered fully online via Zoom at a 5:1 student-to-mentor ratio. Students leave with practical experience building models that classify disease indicators, work on sharpening and interpreting medical scans, and receive a personalised mentor evaluation.

Successful participants may also be eligible for post-baccalaureate credit through University of California, San Diego Extended Studies.

Computer ScienceBiologyHealth, Medicine & Social Care
Application Deadline

15 Oct 2026

Duration: 10 weeks

Location

Remote
  • Students in grades 9-12.
  • Must have completed AI Scholars or have prior Python experience.
  • Python experience is required for the Deep Dive track.
  • Need-based financial aid is available for families making less than $60,000 per year (US applicants) or 20 lakh rupees per year (Indian or non-US applicants).
Participation Fee

$2,690

The Deep Dive program costs $2,690. Need-based financial aid is available up to 100% and can be requested in the application form. Financial aid is currently available for AI Scholars, Deep Dive Programs, and AI Trailblazers Programs.

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