← All courses
$20

AI for Healthcare (Global)

Understand AI applications in clinical decision support, medical documentation, drug interaction analysis, and population health analytics. Built for healthcare professionals in the US, UK, EU, and Australia.

"Triage this patient's symptoms, check their prescription for interactions, and generate a discharge summary — all with AI assistance"

6 Modules

Each module builds on the previous one. By the end, you have a complete production system.

  1. 1

    AI in Healthcare Today

    AI healthcare landscape + case studies, scoped to HIPAA, FDA, and EU AI Act boundaries on clinical AI

  2. 2

    Clinical Decision Support

    AI-assisted ESI triage and differential diagnosis for 3 patients, kept advisory to the clinician

  3. 3

    Medical NLP & Documentation

    Automated SOAP extraction, ICD-10-CM coding, and discharge summaries per Joint Commission standards

  4. 4

    Drug Interaction Analysis

    AI-powered medication review for polypharmacy prescriptions, referencing FDA black-box warnings and PDMP data

  5. 5

    Patient Data Analytics

    Population health report with CMS quality measures and HEDIS metrics, de-identified per HIPAA

  6. 6

    Responsible Healthcare AI

    AI governance framework with bias audit, mapped to FDA SaMD pathways and HIPAA / GDPR Article 9 / EU AI Act

Skills you'll practise

Clinical Decision SupportMedical NLPDrug Interaction CheckingPopulation HealthAI Governance

Practice data included

  • Patient intake forms
  • Symptom-condition database
  • ESI triage protocols
  • Clinical notes (SOAP)
  • ICD-10-CM codes
  • Drug interactions
  • Prescriptions with NDC codes
  • Patient demographics (CSV)
  • Disease prevalence data

How this certificate is scored

Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.

  • You answer 6 short questions, one for each module, in your own words (at least 40 words each).
  • An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
  • To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.

The rubric

  1. Module 1, AI in Healthcare Today: AI healthcare landscape + case studies, scoped to HIPAA, FDA, and EU AI Act boundaries on clinical AI.
  2. Module 2, Clinical Decision Support: AI-assisted ESI triage and differential diagnosis for 3 patients, kept advisory to the clinician.
  3. Module 3, Medical NLP & Documentation: Automated SOAP extraction, ICD-10-CM coding, and discharge summaries per Joint Commission standards.
  4. Module 4, Drug Interaction Analysis: AI-powered medication review for polypharmacy prescriptions, referencing FDA black-box warnings and PDMP data.
  5. Module 5, Patient Data Analytics: Population health report with CMS quality measures and HEDIS metrics, de-identified per HIPAA.
  6. Module 6, Responsible Healthcare AI: AI governance framework with bias audit, mapped to FDA SaMD pathways and HIPAA / GDPR Article 9 / EU AI Act.

What you walk away with

Shareable portfolio

A public URL showing your module timeline, patterns mastered, and completion status.

Everything you build

Download all your work as a ZIP file. It is yours to keep.

Module walkthrough

Each module documented with deliverables and the production pattern you implemented.

Ready to start AI for Healthcare (Global)?

First course free. $20 per course after that.