You’ve worked around broken tools long enough.
For years, healthcare practitioners have been asked to adapt to systems that interrupt care, slow down judgment, and add work instead of removing it.
This is the first step
in the other direction.
Don’t just get through the workflow.
Change it.
Most healthcare education teaches you how to cope with the system you have.
This teaches you how to shape the one you need.
AI Foundations for Clinicians
"Why does it take me 16 minutes of admin for every 11 minutes with a patient?"
Lessons
What is AI?
Strip away the hype and break down exactly what Machine Learning, NLP, and Generative AI mean in clinical context. Engage with interactive concept maps to see how systems process medical data.
How large language models work
Dive under the hood to grasp context windows and temperature settings. We'll examine live demonstrations of why hallucinations happen and how to avoid them during daily workflows.
The physician's AI stack
Map the clinical ecosystem of ambient scribes and decision support applications. Complete an exercise to identify exactly where each tool natively fits into your specific clinic.
AI ethics, bias, and patient safety
Critically evaluate algorithmic bias from flawed clinical datasets and explore fairness metrics. Dissect rigorous case studies establishing the physician's responsibility regarding patient safety.
HIPAA, FDA, and regulatory guardrails
Learn definitively what you can build within a healthcare environment. By mapping out exemption criteria, you will establish bulletproof regulatory guardrails for any tool.
Outputs
What You'll Build
You won't just learn theory—you'll construct your very first clinical note summarizer from scratch and stress-test it against FDA frameworks.
Assessment
A comprehensive quiz on accurate AI terminology and regulatory classification to ensure you are ready to build safely.
The Curriculum
Six intensive modules engineered to transition you from writing notes manually to deploying enterprise-scale clinical automations.
"Why does it take me 16 minutes of admin for every 11 minutes with a patient?"
Lessons
What is AI?
Strip away the hype and break down exactly what Machine Learning, NLP, and Generative AI mean in clinical context. Engage with interactive concept maps to see how systems process medical data.
How large language models work
Dive under the hood to grasp context windows and temperature settings. We'll examine live demonstrations of why hallucinations happen and how to avoid them during daily workflows.
The physician's AI stack
Map the clinical ecosystem of ambient scribes and decision support applications. Complete an exercise to identify exactly where each tool natively fits into your specific clinic.
AI ethics, bias, and patient safety
Critically evaluate algorithmic bias from flawed clinical datasets and explore fairness metrics. Dissect rigorous case studies establishing the physician's responsibility regarding patient safety.
HIPAA, FDA, and regulatory guardrails
Learn definitively what you can build within a healthcare environment. By mapping out exemption criteria, you will establish bulletproof regulatory guardrails for any tool.
Outputs
What You'll Build
You won't just learn theory—you'll construct your very first clinical note summarizer from scratch and stress-test it against FDA frameworks.
Assessment
A comprehensive quiz on accurate AI terminology and regulatory classification to ensure you are ready to build safely.
Learn the workflow. Build the workflow. Keep the workflow.
What you build should fit your practice the way sand fits a mold: shaped by pressure, formed by reality, and made to match the work in front of you.
This isn’t about learning to code.
It’s about taking something you already understand deeply—the real flow of work in your practice—and turning it into a tool that actually helps.
Every lesson starts with a problem that feels familiar:
- intake that takes too long
- follow-up that falls through the cracks
- referrals that get delayed
More than just a syllabus.
Live Clinical Demos
Stop watching generic tech tutorials. You'll rebuild real, heavy-duty clinical workflows into scalable tools right alongside our expert instructors.
The Builder Sandbox
Experiment freely. We provide a zero-risk, synthetic data environment allowing you to perfect your clinical logic before ever touching actual PHI.
Host With Us
Take your tools to production. On our roadmap is a fully managed, HIPAA-compliant backend deployment platform exclusively for active builders.
Learn more →How the course works
You learn the same way good clinical judgment is built:
by seeing the pattern, understanding the logic, and applying it yourself.
Start with a real workflow
Each lesson begins with a practical problem from real healthcare settings, not abstract product demos.
We break it down clearly
You’ll learn what makes the workflow work, where it breaks, and what parts can be structured into a tool.
You build alongside the lesson
Instead of just watching, you’ll shape the workflow yourself using guided prompts, templates, and live examples.
You adapt it to your own practice
By the end of each module, you’ll have a version that reflects how you actually work, not a generic template built for someone else.
You leave with something usable
Each section is designed so you finish with a practical output, not just a note in your notebook that says “look into this later.”