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AI in Healthcare and Pharma Internship

8 short weeks. Free. No patient data, ever.

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By Wartens Ltd (UK), delivered through EDWartens.

Two columns: tasks AI can draft, such as summaries and leaflets, and decisions that stay with a qualified person, such as care and release.
  • Free
  • Online
  • Any start date
  • 1 to 8 weeks

Who it suits

Made for beginners.

You do not need to code or to know AI. If you study or work near healthcare or pharma, you can start. The course is about admin, documentation, literature and quality work.
  • Students of pharmacy, nursing, life sciences, biomedical engineering and healthcare management.
  • Anyone who wants to understand what AI can safely help with, and what it must never be used for.
  • Read the notes on a phone, a tablet or a laptop.
A sentence being built word by word, with a small list of likely next words and their chances.

What you will learn

Eight weeks, one picture each

Every week is open from day one. Each lesson takes a few minutes.
  1. Two columns: tasks AI can draft, such as summaries and leaflets, and decisions that stay with a qualified person, such as care and release.

    Week 1

    AI in healthcare and pharma: landscape and limits

    Name where AI helps in healthcare and pharma, say which decisions stay with a qualified person and list the data that never goes into a public AI tool.

  2. A sentence being built word by word, with a small list of likely next words and their chances.

    Week 2

    How AI tools work, in plain terms

    Explain in plain words how a chat assistant produces an answer, name the ways it goes wrong and write a clear five-part prompt.

  3. Six stages in a row: target, hits, lead, preclinical, clinical trials and review.

    Week 3

    AI in drug discovery and research

    Name the stages of drug development, say where AI helps and where it does not, and run a literature search with AI where every citation is checked.

  4. Four phases with the group size and the main question of each, from safety to long-term watching.

    Week 4

    AI in clinical trials and documentation

    Explain the trial phases in plain words, say where AI helps with trials and paperwork, and draft a plain-language summary that a person then verifies.

  5. A loop of four steps: write it down, do it as written, record what happened, check and improve.

    Week 5

    Quality, GMP and data integrity (ALCOA+)

    Explain what GMP and data integrity protect, name the nine ALCOA+ principles, spot which one a faulty record breaks, and use AI on quality paperwork without giving up your own sign-off.

  6. A person outline surrounded by examples of patient data: name, phone, photo, scan, voice, bed number and date of birth.

    Week 6

    Patient privacy and safe use of AI

    Recognise patient data in any form, sort information into never, approved-tool-only and fine for AI, and say what to do if something is shared by mistake.

  7. Three reasons healthcare AI is regulated: harm to people, a hidden inside, and one fault repeated many times.

    Week 7

    Regulation, explainability and governance

    Rate an AI tool by its risk, say what human oversight it needs, and explain in plain words what an AI governance standard such as ISO 42001 asks for.

  8. Two columns: safe admin tasks such as rotas and handouts, and tasks that touch care such as diagnosis or dosing.

    Week 8

    An AI use-case review for a pharmacy or ward

    Write a one page review of an AI use for a non-clinical task in a pharmacy or ward, covering purpose, data, risks, safeguards, sign-off and how success is measured.

A flow from allowed data such as public papers and made-up examples into the AI, while patient data is blocked.

Practice, if you like

Try it on made-up documents.

Each week ends with a worked exercise on invented, non-patient material, with a good result described. Skip them if you prefer.
  • Free tools: a free chat assistant (with no patient data, ever) and Google Sheets.
  • Invented examples only: never a real patient, a real record or a real prescription.
  • A mini project in week 8: an AI use-case review for a pharmacy or ward.
  • Best on a laptop or tablet. A phone works for reading.
Six stages in a row: target, hits, lead, preclinical, clinical trials and review.
A loop of four steps: write it down, do it as written, record what happened, check and improve.

Your pace

Choose a start date and a length.

We show your weekly plan. You can change it later.

Any length from 1 to 8 weeks. Start on any date from today. Retry the weekly checks and the final quiz as often as you like.

Plan my internship
Four phases with the group size and the main question of each, from safety to long-term watching.

Certificate and documents

Want proof? Add it later.

Free learners keep full access. A verifiable certificate of completion is an optional paid document, issued by Wartens Ltd (UK). Anyone can check it with the QR code or number.
Three reasons healthcare AI is regulated: harm to people, a hidden inside, and one fault repeated many times.
How verification works

Questions

Quick answers

Is the AI in Healthcare and Pharma Internship really free?

Yes. Joining is free and so are all eight weeks, the weekly checks and the final quiz. You pay only if you choose an optional add-on.

How long can I take?

This internship runs for 1 to 8 weeks. You pick a start date and can change your plan later. All eight weeks are open from day one, so a short plan moves fast and a long one gives you room.

What do I need?

A laptop or phone, Google Sheets and a free AI assistant account. You never need any patient information. Every tool used is free or has a free tier, so there is nothing to buy. The notes also read well on a phone.

What will I actually do?

You read short notes with diagrams, watch a few videos and take an easy check each week. Each week ends with a worked exercise, such as summarising a made-up paper, tidying an invented procedure, spotting a data integrity gap or scoring an AI use case for risk. Week 8 reviews one AI use case for a pharmacy or ward.

What do I get at the end?

A certificate of completion is an optional paid document, issued by Wartens Ltd (UK). It has a QR code and a number, so anyone can verify it at edwartens.com/verification. The lessons stay free, and you can finish without buying anything.

Is this a paid position?

No. It is training, not employment. Nothing is paid to you, and nothing here promises work with any company.

Who wrote the course?

OFORO, the Wartens AI company, wrote the notes and exercises. OFORO builds the AI behind Wartens' engineering and training work. The internship is run by Wartens Ltd (UK) and delivered through EDWartens.

What about privacy and wrong answers?

AI never diagnoses or prescribes in this course. Examples are about admin, documentation, literature and quality work. AI can invent facts and references, so every output is checked by a qualified person. Never put patient data into a public chatbot: health privacy law applies everywhere. The course gives no medical advice.

Your first lesson is free.

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  • Start any date
  • Verify with a QR code
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