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$20

AI for Healthcare (India)

Understand AI applications in clinical decision support, medical documentation, drug interaction analysis, and population health analytics. Built for healthcare students and professionals.

"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 + Indian case studies, scoped to NMC and CDSCO boundaries on clinical AI

  2. 2

    Clinical Decision Support

    AI-assisted triage and differential diagnosis for 3 patients, kept advisory per NMC and ICMR ethical guidelines

  3. 3

    Medical NLP & Documentation

    Automated SOAP extraction, ICD-10 coding, and discharge summaries structured for ABDM interoperability

  4. 4

    Drug Interaction Analysis

    AI-powered medication review for polypharmacy prescriptions, referencing CDSCO-approved drug data

  5. 5

    Patient Data Analytics

    Population health report from de-identified patient data, processed under the DPDP Act

  6. 6

    Responsible Healthcare AI

    AI governance framework with bias audit + compliance assessment against ABDM, DPDP Act, and CDSCO/ICMR norms

Skills you'll practise

Clinical Decision SupportMedical NLPDrug Interaction CheckingPopulation HealthAI Governance

Practice data included

  • Patient intake forms
  • Symptom-condition database
  • Triage protocols
  • Clinical notes (SOAP)
  • ICD-10 codes
  • Drug interactions
  • Prescriptions with Indian brands
  • 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 + Indian case studies, scoped to NMC and CDSCO boundaries on clinical AI.
  2. Module 2, Clinical Decision Support: AI-assisted triage and differential diagnosis for 3 patients, kept advisory per NMC and ICMR ethical guidelines.
  3. Module 3, Medical NLP & Documentation: Automated SOAP extraction, ICD-10 coding, and discharge summaries structured for ABDM interoperability.
  4. Module 4, Drug Interaction Analysis: AI-powered medication review for polypharmacy prescriptions, referencing CDSCO-approved drug data.
  5. Module 5, Patient Data Analytics: Population health report from de-identified patient data, processed under the DPDP Act.
  6. Module 6, Responsible Healthcare AI: AI governance framework with bias audit + compliance assessment against ABDM, DPDP Act, and CDSCO/ICMR norms.

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 (India)?

First course free. $20 per course after that.