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    Deep Dive: AI + Medicine
    Online Program

    Deep Dive: AI + Medicine

    by Veritas AI

    A specialist program where students explore how AI is used in healthcare and build an applied group project using medical data and neural networks.

    Last verified: 10 Oct 2026Reviewed by:SSSean Stevens

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    AI Medicine Deep Dive at a glance: cost, dates and eligibility

    Current status

    Upcoming

    Eligibility

    Grades 8-12; coding background

    Age range / Year group

    Ages 13-18

    Location / Region

    Online

    Cost

    $2,490

    Duration

    10 weeks

    Format

    Online

    Next deadline

    Not announced · Next cycle not announced

    Get next-cycle reminder
    Artificial IntelligenceCoding & AIMedicine
    Sessions / cadence: 10 x 2.5-hour weekend sessions
    Mentor model: 15:1 lectures; 5:1 projects
    Assessment style: Hands-on work and group project
    Main output: Group project with 3-5 students
    Academic credit: Optional 3 UCSD credits

    AI Medicine Deep Dive summary

    This specialist program connects artificial intelligence with medicine through theory, coding demonstrations and practical work using medical data.

    Students progress through exploratory data analysis, neural networks, medical image classification and segmentation, clinical evaluation and ethics.

    It suits students who already have coding or AI foundations and want to apply them in a collaborative healthcare project.

    What is Deep Dive: AI + Medicine?

    Deep Dive: AI + Medicine is a specialist Veritas AI program about the use of artificial intelligence in medicine and healthcare. It combines conceptual teaching with code walk-throughs and hands-on work across medical data analysis, neural networks and computer vision.

    Students develop from foundational medical AI concepts into image classification, segmentation, model evaluation and clinical ethics. The experience culminates in an applied project completed with a small student group and presented at the end of the program.

    Why Succeed highlights AI Medicine Deep Dive

    • The syllabus links technical AI methods to concrete medical-data and healthcare applications.

    • Students practise both theory and coding through lectures, walk-throughs and hands-on sessions.

    • The project sequence moves from exploratory analysis to baseline and advanced models.

    • Clinical evaluation and ethics broaden the program beyond model building alone.

    • Small project groups provide a structured setting for collaboration and feedback.

    Who is AI Medicine Deep Dive for?

    Best for

    Students interested in both computing and healthcare who already understand coding, Python or core AI concepts.

    Not ideal if

    You want a beginner coding course, an individual research project or a program centred on clinical work rather than computational methods.

    Is AI Medicine Deep Dive worth it?

    This program can be worthwhile for students who want a structured bridge between AI foundations and a specialist healthcare application. Its staged syllabus and team project offer more depth than a short introductory workshop.

    The main limitation is that the final work is collaborative, so it may provide less individual ownership than a one-to-one research program. The fee is also substantial, although need-based aid is available and can cover up to 100%.

    Sean, founder of Succeed

    Sean

    Founder, Succeed

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    A practical overview of cost, time commitment, provider details, student outcomes and online support to review before deciding.

    Cost and what is included

    $2,490; includes 1.5-hour live lecture per session, One-hour small-group session per session, Materials provided through Google Classroom, Recordings available after missed sessions.

    Dates and time commitment

    10 weeks; 10 x 2.5-hour weekend sessions.

    Provider details

    Review the Veritas AI provider page and official sources before making a final decision.

    What the student gains

    Potential output: The main deliverable is an applied group project completed with three to five other students.. Check whether feedback, certificate, recommendation or application evidence is included.

    Online support and safeguarding

    Yes. Deep Dive applicants can request need-based aid through the application form, with support of up to 100% available through a competitive process.

    What to check before committing

    Confirm current dates, session schedule, payment terms, cancellation rules, support expectations and what output or certificate is included with the provider.

    Compare this program with similar options before deciding on dates, cost, format and fit.

    Compare with similar programs

    How much preparation does AI Medicine Deep Dive need?

    Effort level

    Moderate to high.

    Best started

    Refresh Python and core AI concepts two to four weeks before your intended cohort.

    Main challenge

    Applying neural-network techniques to medical data within a group project.

    Typical preparation

    • Review basic Python syntax and data handling.

    • Revisit foundational neural-network concepts before the first session.

    • Plan reliable weekend availability because make-up classes are not offered.

    • Prepare to explain ideas, divide project tasks and present shared work.

    Useful if

    You have completed AI Scholars or already know coding or Python.

    What do students do on AI Medicine Deep Dive?

    Students follow a ten-session progression from introductory medical AI to applied model development, evaluation and presentation.

    Step-by-step process

    1. 1

      Learn how AI is used in medicine and healthcare.

    2. 2

      Prepare and explore medical datasets.

    3. 3

      Study neural networks for regression and classification.

    4. 4

      Build image-classification and image-segmentation models.

    5. 5

      Improve models through regularization and transfer learning.

    6. 6

      Examine clinical evaluation methods and AI ethics.

    7. 7

      Develop baseline and advanced models with a small group.

    8. 8

      Present the completed project and take part in the closing ceremony.

    AI Medicine Deep Dive dates and deadlines

    Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.

    Succeed does not have a separately listed public date for this cycle yet.

    Eligibility and requirements

    • Students in Grades 8-12

    • Completion of AI Scholars or coding background

    • Prior AI concepts or Python experience accepted

    • Interest in applying AI to medicine

    How much does AI Medicine Deep Dive cost?

    Program fee

    $2,490 — Listed price for Deep Dives

    Funding or discounts

    • Need-based aid: Up to 100% — Request consideration in the application

    What's included

    1.5-hour live lecture per session, One-hour small-group session per session, Materials provided through Google Classroom, Recordings available after missed sessions

    How to apply to AI Medicine Deep Dive

    1. 1

      Open the Veritas AI online application form.

    2. 2

      Choose your intended cohort and select Bootcamp for a Deep Dive application.

    3. 3

      Provide your contact details, school, grade, graduation year and time zone.

    4. 4

      Describe your programming experience and mathematics background.

    5. 5

      Answer the AI-interest and candidate questions in no more than 300 words each.

    6. 6

      Indicate whether you want consideration for need-based financial aid.

    7. 7

      Review the information and submit the application.

    Next step with Succeed

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    Learning format

    The program is delivered live online through Zoom, with materials uploaded to Google Classroom. Each weekend session combines a 1.5-hour section lecture with a one-hour group session, creating 2.5 hours of structured learning.

    Recordings are available when a student misses a session, but make-up classes are not offered.

    Mentorship and feedback

    • Live lectures use a published 15:1 student-to-mentor ratio.

    • Group-project sessions use a published 5:1 ratio.

    • Project topics are chosen collaboratively within small groups.

    • Students can request transfer if another group selects their preferred topic.

    • Hands-on sessions support staged baseline and advanced model development.

    Time-zone considerations

    • Applicants provide their current time zone.
    • Time-zone information supports bootcamp cohort matching.
    • Classes are live online through Zoom.

    Assessment style

    Progress is demonstrated through hands-on coding, staged model development, collaborative project work and a final presentation.

    • Hands-on work accompanies the taught sessions.
    • Students begin projects with exploratory data analysis.
    • Groups develop baseline and advanced models.
    • Project work continues before the final presentation.
    • The program concludes with presentations and a closing ceremony.

    Portfolio and outputs

    Main deliverable / output

    The main deliverable is an applied group project completed with three to five other students.

    • Exploratory data analysis for a medical dataset

    • Baseline and upgraded AI model work

    • Final presentation of the project

    AI Medicine Deep Dive FAQs

    It covers medical data preparation, exploratory analysis, neural networks, image classification, image segmentation, clinical evaluation and ethics in clinical AI.

    Yes. Students should have completed AI Scholars or have prior coding, AI-concept or Python experience.

    Each session includes a 1.5-hour section lecture and a one-hour group session. Classes run through Zoom, while materials are available on Google Classroom.

    Students work with three to five peers on an applied group project. The project develops through exploratory analysis, baseline modelling, model improvement and presentation.

    Deep Dive project topics are determined collaboratively within small groups. The provider may transfer a student if another group selects their preferred topic.

    Make-up classes are not offered, but students can access class recordings after a missed session.

    Yes. Deep Dive applicants can request need-based aid through the application form, with support of up to 100% available through a competitive process.

    Successful students may choose to enrol for three UCSD Extended Studies post-baccalaureate credits and a digital transcript. A separate processing fee applies.

    Alternatives to AI Medicine Deep Dive

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    Sean Stevens

    Content reviewed by

    Sean Stevens

    Co-founder, Succeed | Founder, Immerse Education (2012–2026)

    Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.

    View author page

    Sources and verification

    Source types reviewed

    • Error 404 (Not Found)!!1
    • Veritas AI Application Form 2026
    • FAQs | Learn AI Today – Get Started — Veritas AI
    • Compare Programs | Explore and Enroll Today — Veritas AI
    • Deep Dive: AI + Medicine | Explore AI in Healthcare — Veritas AI

    Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.

    What we verified (on 10 Oct 2026)

    • Official program page checked

    • Program structure reviewed

    • Eligibility compared

    • Price cross-checked

    • Application form reviewed

    • Financial aid checked

    • Academic credit conditions reviewed

    How Succeed uses this information

    We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.