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Build Apps with AI for Healthcare Professionals
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Build Apps with AI for Healthcare Professionals

Build a clinical calculator and PubMed assistant while learning AI coding, GitHub, deployment! no experience needed.
Created byRoupen Odabashian
Last updated 10/2026
English

What you'll learn

  • Direct an AI coding agent (Claude Code) to build working software for you, without writing a line of code yourself
  • Build a clinical calculator (CHA2DS2-VASc and Cockcroft-Gault) that runs in your browser, then break it on purpose to check it fails safely
  • Write a Python script that pulls real data from a free API, and read the JSON that comes back
  • Deploy your tool from GitHub to a live public URL, and run a safety pre-flight before you send the link to a colleague
  • Run a research project end to end with AI agents: a proposal, a Word document, an extraction spreadsheet, and a second pass that catches what the first missed
  • Explain what a language model, an AI agent, a context window, an API, an API key and MCP actually are, using analogies from the clinic
  • Keep patient data and API keys safe: know what leaves your laptop, what never goes to GitHub, and why a key is treated like PHI

Course content

8 sections • 61 lectures • 4h 14m total length

  • What you need, and the one rule you can't break2:40

    The list of what you need is shorter than you think: a laptop, an email address, a coding agent subscription, and about 5 dollars you won't spend until Part 6. Then the one rule this course can't bend. No patient information, ever. Download the requirement sheet below and keep it where you'll see it.

  • Mac or Windows, only three things change 22:32

    I record on a Mac, and it barely matters if you're on Windows. Think of two hospitals running the same protocol on different medical record systems. You'll learn the only three things that change: Command becomes Control, the slashes lean the other way, and where your Desktop and Downloads livee

  • Install VS Code, the place you'll do all your work4:20

    Word is for writing instructions to people. VS Code is for writing instructions to computers. You'll learn what an IDE is, then install VS Code step by step on a Mac or Windows. An empty gray window at the end means you got it right.

  • What the terminal is, and why you won't be the one typing in it4:59

    That black box full of text scares almost everyone, so let's meet it before it starts moving. You'll learn where the word terminal comes from, the difference between clicking and typing, and what a shell is: the hospital operator between you and the machine. It does nothing until you press Enter, and your agent is the one typing in it.

  • Make a folder and some files, then find them on your computer6:12

    Open a folder in VS Code, make a folder inside it, and create a text file, a document and a spreadsheet. You'll learn what the little dot on an unsaved file means, save with one shortcut, then find everything in Finder or File Explorer. What you see in the editor is a real file on your disk

  • Install Claude Code or Codex and sign in3:16

    Add your AI coding agent to VS Code and sign in. You'll need a Claude or ChatGPT subscription, about 20 dollars a month. I'll show you how to pick the official extension and not a look-alike, and how signing in with your subscription works. Claude Code or Codex, you only need one.

  • You're all set up, next we open the machine1:01

Requirements

  • No coding experience needed. You will never hand write code in this course. You learn to direct an AI that writes it for you.
  • A Mac or Windows laptop from the last five years. Whatever is already on your desk is almost certainly fine.
  • An email address, and a Claude or OpenAI subscription (about 20 dollars a month) to run a coding agent. The course shows you how to sign in.
  • About 5 dollars in API credit, needed once in Part 6. Everything before that point is free, and you decide how much to spend.
  • No patient information, ever. Every example is de-identified, and you will never need real patient data to follow along.

Description

This course contains the use of artificial intelligence.

Healthcare professionals see problems in their daily work that software could help solve, but getting started with code can feel out of reach. This course gives you a practical introduction to building with AI coding agents, even if you have never written code before.

You will learn how to give an AI coding agent clear instructions, follow the changes it makes, and check whether the result works. We begin with the basics: files and folders, how computers run code, what an AI agent does, and how to work safely with your project files.

Then you will build two separate learning projects. First, you will create a browser-based clinical calculator and learn how a webpage is put together. Later, you will build a separate Python-based assistant that can search PubMed and return links to references. These projects are not joined together, and they are not validated clinical tools.

You will also learn the basics of Git and GitHub so you can track changes and push a copy of your project online. Finally, you will follow a deployment walkthrough that puts a project on Railway and gives it a web address.

This course is designed for healthcare professionals, students, and others who want to understand how AI-assisted software building works. You do not need prior coding experience. You will need a laptop, an email address, and a willingness to experiment, ask questions, and inspect the agent’s work. Some later exercises use paid API services; the course explains when they are needed.

All examples are for education. Use fictional information only. Do not enter patient information, credentials, or API keys into prompts, and do not use the projects to make decisions about real patients.

Who this course is for:

  • Physicians, nurses, pharmacists, residents, fellows and medical students and anyone who have never written a line of code and want to build their own tools
  • Healthcare workers who have used AI in a chat window and want to go further: real files, real data, and a real tool at a real URL
  • Clinicians who want to understand what a language model, an agent and an API actually are, explained in analogies from the clinic
  • Healthcare educators, leaders and administrators who want to judge AI tools and the people who build them, not just be sold to
  • Not for experienced software developers. This course teaches directing, not syntax.

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