GreyBrain School of AI
greybrainSCHOOL OF AI

IIHMR BANGALORE · CERTIFICATE PATHWAY

Generative AI for doctors and healthcare professionals

Taught by clinician-scientists and engineers, on a curriculum built the way medicine is taught — anatomy, physiology, pathology, pharmacology. Start free, in your own time.

Start free — Day 0 ↗Meet the faculty ↓
Two clinicians in discussion over a laptop in a seminar roomAI-generated illustration. Faculty are named below.
Status
Open · enrol any time
Format
Self-paced online
Entry course
₹1,000 · US$10
First lesson
Free, no card
Faculty
7 clinician-scientists & engineers
Certificate track
IIHMR Bangalore programme

WHO TEACHES THIS

Clinician-scientists.
Not a content team.

Practising physicians, biomedical engineers and machine-learning researchers, including faculty from IIHMR Bangalore and IISc Bangalore. Every credential below is checkable.

  • Dr Satish Prasad RathPhysician · Scientist · Entrepreneur

    Founder, GreyBrain AI School
    Visiting Faculty, IIHMR Bangalore

  • Dr Prathosh APPhD (IISc)

    Professor, EECS Division
    IISc Bangalore

    Curriculum committee and course advisor
  • Dr Subha Narayan RathMBBS, MMST, PhD

    Professor, Department of Biomedical Engineering

  • Dr Akash Gajanan PrabhunePhD (DIT University)

    Assistant Professor & Lead, ADMIRE
    IIHMR Bangalore

  • Mr Vinay R SrihariSenior Data Scientist

    Assistant Professor, ADMIRE
    IIHMR Bangalore

  • Dr Lalit GuptaPhD (IIT Kharagpur)

    Founder, Deepneura · Ex-Philips

    Academic advisor
  • Dr Pratichi MishraMD (St George's University)

    AI Product Analyst

A NEW PRACTICE EVERY MORNING · FREE · NO SIGN-UP

Try it before you trust it.

One exercise, written for a doctor’s day. Run it, then do the part that needs a clinician — check what comes back against the source.

Two clinicians reading printed research papers together in a library
Checking a paper against its source is the method every exercise here teaches. AI-generated illustration.

TODAY’S PRACTICE · SCIENTIST

Forty abstracts into one review matrix

A week of extraction work in one pass, with "not stated" marked honestly instead of filled in.

COPY · PASTE INTO CLAUDE OR CHATGPT
You are helping me build the evidence table for a narrative review. This is a practice exercise; I will verify every row myself.

Below are abstracts I have collected:
[PASTE 10–40 ABSTRACTS, SEPARATED BY A BLANK LINE]

Build one markdown table with a row per study and these columns: first author and year, country, study design, sample size, population, intervention or exposure, primary outcome and effect direction, and the single most important limitation.

Rules:
- Take every value from the abstract text only. Where the abstract does not state something, write "not stated" — never infer it.
- After the table, group the studies by design and tell me where the evidence is thin: which designs dominate, which populations are missing, and which outcome is reported too inconsistently to pool.
- Finally, list the three studies whose full text I must read before writing a word, and say why each one.

End with a short section titled "Your check" listing what I must verify myself before using any of this.

YOUR CHECK

Open the three flagged papers yourself and re-read two rows at random against the original abstract. A single silently invented sample size is enough to discredit the whole table.

Runs inClaude ↗ChatGPT ↗Copy the prompt first — these open the tool, they do not carry the text.

Abstracts only, from published work. The model cannot assess study quality and has not checked whether any of these were retracted.

Open the full practice ↗

THE MODEL FORMULARY

New medical models land every week.
Which ones are really for medicine?

Who built it, what it learnt from, whether you may use it and where it stops — read from the makers’ own published note. Open the formulary ↗

EDITOR’S PICKmicrosoftBiomedNLP-BiomedBERT-base-uncased-abstract-fulltext

Trained only on PubMed. It does not chat; it sits underneath the search and screening tools you already use for a literature review.

Licence
mit
Based on
Not stated
Last updated
Nov 2023
How widely used
2,32,970 downloads
Read the full entry ↗

MOST USED ON HUGGING FACE RIGHT NOW · MEDICAL

Listed by usage, not endorsement. Nothing here is assessed for clinical use.

Every past exercise, by role ↗

THE HARDEST PART IS STARTING

Begin with one
small, finished thing.

Most doctors do not stall because the material is hard. They stall because there is no obvious first step. Day 0 is free and takes twenty minutes. The entry course is ₹1,000 and self-paced, on a syllabus you already know by heart.

  1. F0Day 0Your First Win
  2. F1AnatomyAnatomy of an LLM
  3. F2PhysiologyHow the Model Functions
  4. F3PathologyHow the Model Fails
  5. F4PharmacologyThe Model Formulary
  6. F5Forensic & Community MedicineLaw, Ethics and the Indian Landscape
  7. F6Intelligence ScienceFrom Synapse to Silicon: the Science of Intelligence
Start free — your first win ↗Day 0: one small task, and how to check what it gives you. Free to read, no card.
FROM AN EARLIER GREYBRAIN PROGRAMME

“The LMS is excellent, and the assignments and learning methods are truly engaging.” — Dr Deepak Chiradoni

See where the programme leads ↗

YOU’RE NEVER JUST ONE THING

One doctor.
So many hats.
Still one day.

Practise for the one you are wearing today.

Eight sets of exercises, one for each side of your work. Or try the guided source check →

One fictional doctor, eight familiar roles. AI-generated illustration.

BEFORE YOU DECIDE

Questions doctors ask
before they start.

Do I need coding experience?

None. Everything is done in the browser, in the same AI tools you can already open on your phone. If you can use a search engine and read a paper critically, you can do this course.

What does it cost to start?

The recorded starter is ₹1,000 in India or US$10 internationally. These are regional prices. Review the course terms and final total before paying. Institutional programmes are scoped and quoted separately.

What happens after the starter?

Further capabilities appear in your learner account as you progress. You see what each upgrade adds and its full price before deciding to buy.

Does the starter include live teaching?

The starter uses recorded learning. Any included support, assessment and access period must be stated in the course terms before enrolment. Individual live sessions are not an automatic inclusion.

How do achievements and certificates work?

Achievements record completed learning against the applicable requirements. Programme certificates follow the stated assessment criteria. Attending an event or sharing a social post does not by itself qualify someone for an assessed certificate.

Is this recognised by the NMC, or does it carry CME credit hours?

No. This is professional learning, not a regulatory qualification. It does not carry NMC recognition, CME credit hours, a clinical licence or specialist accreditation, and we will never claim otherwise. The IIHMR Bangalore certificate programme has its own stated assessment requirements, which are confirmed before enrolment.

Can our institution or conference run a programme?

Yes — for a college, a department, a hospital or a conference session. Tell us who will attend, roughly how many, the shape of session you want and your own role. Cohort programmes are scoped and quoted individually; there is no standard price at that size. An enquiry does not book an event or enrol anyone.

Can I join without WhatsApp?

Yes. Use your email for learning access. Messaging preferences and public sharing are optional and separate from course completion.

What should I use for practice?

Use synthetic examples and check outputs against the supplied source material. Keep identifiable patient information out of general AI tools. These exercises teach AI skills and do not replace clinical judgement.

Your expertise. Sharper tools.
GreyBrain School of AI · with IIHMR Bangalore