★ Level 2 · Future-Doctor Track
Build an AI Medical Research Dashboard
AI for future doctors, researchers & public-health innovators — train a real model and an AI research crew, responsibly. Not an “AI doctor.”
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This is education — not medical advice. Students use public, built-in teaching datasets — never real patient data. The lab does not diagnose, treat, or advise anyone, and AI is always checked by a human. A core goal is learning where medical AI fails. Real decisions require licensed professionals.
What you'll build
An assistant for research — not a substitute for a doctor.
Students combine real medical machine learning with the AI-agent skills from Level 1 to build tools that analyze and explain — while thinking critically about every result, the way a good clinician does.
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A real prediction model
Train a classifier on a real medical dataset — and learn why a missed case (false negative) is the most dangerous error.
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An AI research crew
Four agents — Researcher, Data Analyst, Ethics & Safety, Writer — that explain research and flag its limits (built with CrewAI).
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A 3-tab dashboard
Data Explorer, a prediction model with a live threshold slider, and a research-brief generator.
The 4-week plan
From real medical data to a responsible AI crew.
Four weekly 2-hour live sessions. Small groups, with all datasets and AI access provided — nothing to install or pay for.
Week 1 · Medical Data
Understand the data
01How AI is used in medicineDiagnosis support, imaging, drug discovery, public health.
02Explore real dataBuild a “data card”: what it covers, and who it leaves out.
Week 2 · The Model
Train & evaluate
03A prediction modelTrain a real classifier; read the confusion matrix.
04False negatives & thresholdWhy a missed case is the dangerous error; tune the dial.
Week 3 · AI Assistant
Explain research
05The research assistantSummarize abstracts safely: question, method, finding, limit.
06Safe promptingWhy hallucinations are dangerous in medicine — and how to prevent them.
Week 4 · Crew + Dashboard
Ship it
07The Medical Research CrewResearcher → Data Analyst → Ethics & Safety → Writer.
08Dashboard, brief + demoShip the 3-tab app; earn your Level 2 certificate.
The module that makes future doctors
Where medical AI gets it wrong.
It's easy to build a model that looks impressive. The real skill — the one medical schools and mentors respect — is understanding its limits. Students leave able to question an AI result like a clinician, not trust it blindly.
Hidden biasIf a dataset doesn't say who's represented, we can't assume the model works for everyone. The absence is the lesson.
False negativesIn medicine, a missed case is far more dangerous than a false alarm — and why.
Privacy & the humanHealth data is sacred; the model assists, a human always decides.
The final product
A 3-tab Health Research Dashboard
A real web app students build and demo — with a live threshold slider as the star feature.
Tab 1Data Explorer
Dataset overview, features, label, charts, and the data card.
Tab 2Prediction Model
Accuracy, confusion matrix, sensitivity/specificity — and a live threshold slider.
Tab 3Research Brief
Paste an abstract → a safe, structured one-page brief with limits.
Reserve your seat
The Future-Doctor Track
$799 / student
8 hours of live instruction over 4 weeks
- 8 hours of live, instructor-led training
- All teaching datasets & AI access included
- Your own AI Medical Research Crew + dashboard
- A one-page Health Research Brief (portfolio piece)
- The medical-AI ethics & limits module
- Research Ignited Level 2 certificate
Questions parents ask
Good to know
Will my child be diagnosing real patients?+
No. Absolutely not. This is fully educational, using public, built-in teaching datasets. The lab does not diagnose, treat, or advise anyone, and uses no real patient data. The goal is to teach how medical AI works and where it fails.
Does my child need the Agent Builder Lab first?+
It's strongly recommended — this Level 2 lab builds on the AI-agent skills from Level 1. Students with solid Python and AI basics from elsewhere can also fit; reach out and we'll help. Enrolled students get Python and AI-math prework on our portal.
Is this real medicine, or just coding?+
Both, by design. Students build genuine AI tools used in healthcare research, but the heart of the lab is thinking critically about results — bias, errors, ethics — the way a good clinician does. That combination stands out on medical-track applications.
What data does my child work with?+
Only public, well-known teaching datasets that are built into the tools (no downloads, no real patient data). We use them to teach the science and the ethics — including how datasets can be biased.
What do they leave with?+
A working AI Medical Research dashboard, a one-page Health Research Brief for their portfolio, and a Research Ignited Level 2 certificate. Strong students can extend the project into our Research Program.
Where future doctors meet artificial intelligence
A standout project, an honest education in AI's role in medicine, and a credential that means something. Seats are limited.
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