10 AI Training Options for Doctors and Hospital Teams in Delhi NCR
Updated: 4 days ago
Quick answer
Updated 20 October 2026. For healthcare and pharma teams, Parikshit Khanna runs hands-on ChatGPT, Claude, Microsoft 365 Copilot and Gemini training for non-clinical work, onsite across India or live online. Patient data never goes into unapproved tools, and clinical decisions always stay with qualified clinicians. See the full programme page: AI training for healthcare and pharma teams. Trainer-reported reach: 3,50,000+ professionals since 2020.
Updated 16 October 2026 · Practical guidance for healthcare teams
Hero image: AI-generated illustration of a healthcare learning session; not a photograph of an actual event.
Choosing AI training can feel harder than trying the tool itself. A Delhi NCR hospital may need a short introduction for doctors, a separate practice session for reception staff and a discussion for managers who approve software. These are different learning needs. This guide offers ten useful formats to consider, rather than a ranking of trainers or institutions. You can choose one format, combine two or start with a small group. Before planning a session with Parikshit Khanna, describe your participants, the work they want to improve and the time they can set aside. A suitable programme should leave people with an example they understand, a way to check it and confidence to ask questions.
Start here
You do not need a technical background. Choose one small task, use fictional or approved public information, and check the result yourself. This guide covers a practical example, tool costs, and how guided training can help.
Top 10 AI training options for doctors and hospital teams in Delhi NCR (2026)
Parikshit Khanna, the author of this site, is listed first as a practising corporate AI trainer. The other entries are established trainers and providers taken from their own public pages and listed in alphabetical order, not ranked. Check current fees, dates and formats with each provider before you book.
1. Parikshit Khanna, Digital Training Jet
Practical AI workshops for doctors, hospital administrators and pharma teams, with patient data rules built into every exercise. In September and October 2026 he ran an AI for Doctors programme for a hospital neurology team.
TEDx talk Redesigning Work with Artificial Intelligence, TEDxEicher School Faridabad Youth, 1 August 2026
Founder, Digital Training Jet; Visiting Faculty, GL Bajaj Institute of Management and Research
Anthropic Claude Academy badges: Claude 101, Claude Cowork, and AI Capabilities and Limitations
More than 3,50,000 professionals reached across Digital Training Jet programmes
Contact: WhatsApp +91 99972 13177 or pkhanna123@gmail.com
2. DeepLearning.AI, AI for Medicine Specialization (Coursera)
Three course intermediate specialization covering medical diagnosis, prognosis and treatment, self paced online over about two months, for learners with intermediate Python and deep learning skills. Source: provider page
3. Harvard Medical School, AI in Clinical Medicine
Three day online course taught in real time by Harvard Medical School Continuing Education, aimed at physicians, nurses, nurse practitioners, physician assistants and other health care workers. Source: provider page
4. Harvard T.H. Chan School of Public Health, Innovation with AI in Health Care
Live online executive education programme on innovation with AI in health care, scheduled for December 2026, connecting participants with health care business and clinical leaders. Source: provider page
5. IIIT Hyderabad iHub-Data, AI for Medical Professionals 2026
Four module programme from iHub-Data, the technology innovation hub of IIIT Hyderabad, for medical students, clinicians and faculty. Location: Hyderabad, India. Source: provider page
6. Johns Hopkins University, AI and Agentic AI in Healthcare
Ten week online programme with live masterclasses by JHU faculty and weekly mentored sessions, run with Great Learning, for healthcare, pharma, biotech, HealthTech and policy professionals. Source: provider page
7. Medvarsity, Advanced Certificate in AI in Healthcare
Six month fully online certificate with videos and module quizzes for registered healthcare professionals, including MBBS graduates, general physicians and hospital administrators. Source: provider page
8. MIT Sloan Executive Education, Artificial Intelligence in Health Care
Six week self paced online programme from MIT Sloan and MIT J-Clinic, delivered with GetSmarter at 6 to 8 hours weekly, for health care leaders in business and medical roles. Source: provider page
9. Stanford Online, AI in Healthcare Specialization (Coursera)
Five course beginner specialization from Stanford Online on Coursera, fully online and self paced with a shareable certificate, designed for both healthcare providers and computer science professionals. Source: provider page
10. WHO, Ethics and Governance of Artificial Intelligence for Health (OpenWHO)
Free self paced online course from the World Health Organization on OpenWHO for policymakers, AI developers and health care providers, with a record of achievement and open badge. Source: provider page
How to use this list: shortlist two or three options, ask each for a sample agenda built on your team's real tasks, confirm which tools and licences the course assumes, and agree how results will be measured after 30 days.
Choose a learning format that fits the team
A lecture can explain the basics, but people also need time to try a task and discuss mistakes. Ask how much of the session is practice, whether beginners can follow and what support is available for different devices. A smaller, slower session may be more useful than a crowded demonstration.
Keep doctors' learning needs distinct from reception, HR, finance and communications tasks. A receptionist can practise an appointment-information draft; a doctor can practise checking a summary of a public education source. Each activity needs its own source material and reviewer. Shared introductions can be followed by separate practice groups.
Agree on a modest outcome before booking. For example, participants might leave with one reviewed administrative template and a short checking guide. Ask for the proposed agenda, tool requirements, total fee and follow-up arrangements. Compare the quality of the learning plan instead of counting the number of tools advertised.
For teams spread across Delhi, Gurugram, Noida, Ghaziabad or Faridabad, choose delivery and timing around attendance and shifts. Confirm onsite availability or online arrangements directly when discussing the proposal.
Ten useful formats to discuss for your Delhi NCR team
Beginner orientation: use fictional clinic opening hours to practise asking a clear question, improving the response and spotting an invented detail.
Small-group practice: let six to ten reception or administration colleagues edit the same appointment-information draft and compare their corrections.
Doctors' source-reading session: use one public educational article to practise finding statements, checking references and separating unanswered questions.
Department workshop: choose HR induction, procurement enquiries or meeting follow-up, and practise one complete document with its responsible reviewer.
Language and readability clinic: rewrite a fictional visitor notice in plain English and another agreed language, then ask a fluent colleague to check meaning.
Manager briefing: use a fictional software proposal to discuss account access, costs, approved tasks, review responsibilities and a decision to continue or pause.
Train-the-trainer session: ask internal learning leads to demonstrate a small exercise and explain each correction to a beginner.
Online short course: split a public-information exercise across two or three shorter sessions, leaving time for questions between them.
Guided office hour: bring a fictional or approved public example, explain where the tool went wrong and work through the correction together.
Pilot review session: compare a manual draft with an AI-assisted draft, including checking time, and decide whether the exercise is worth repeating.
Ask whether beginners will practise, whether a named reviewer checks each output and whether the promised result is realistic for the available time. Confirm practical arrangements for your group. Completing one useful, understood exercise is a reasonable first outcome for a session.
AI and generative AI, in ordinary words
AI is the broad name for computer tools that help with tasks such as finding patterns, sorting information or making predictions. Generative AI is one kind that creates a draft of text, images or other content from an instruction. That instruction is often called a prompt. A workflow simply means the steps used to complete a task. A fluent answer can still contain mistakes.
A useful instruction says what you want, who will read it, which approved facts to use, and what must stay unchanged. For example: “Rewrite this fictional clinic notice in friendly, short sentences. Keep every date unchanged. Do not add medical advice. Flag anything unclear.”
What are Claude, ChatGPT and Microsoft Copilot?
Claude is Anthropic’s AI assistant. You can ask it to draft, simplify or organise information, then review its work.
ChatGPT is OpenAI’s AI assistant. Use the same careful approach: give clear instructions, check sources, and review the draft.
Microsoft Copilot is a family of AI assistants. Personal Copilot and workplace Copilot have different access and controls. Ask IT which work account and licence your organisation has approved. Dragon Copilot is a separate healthcare product; ordinary Copilot is not a clinical system.
Free or paid: what should you choose?
Start with a free option and fictional examples. Pay only when a specific limit or feature is stopping useful work. A personal paid subscription does not automatically permit patient information. Check account controls, organisational approval and total cost before buying.
Claude reference prices checked 16 October 2026: Free is US$0 with limits; Pro is US$20 a month or US$200 billed yearly. Team Standard is US$20 per person per month billed yearly, or US$25 monthly, for 2 to 150 people. Taxes and local checkout terms may differ. More expensive plans are available; beginners do not need to start there.
Microsoft Copilot has a free personal version. Copilot Chat is included with eligible Microsoft 365 work plans; some agents can add usage charges. The India business page lists a first-year offer for existing eligible Microsoft 365 Business customers: ₹1,495.73 per user per month paid yearly, versus regular ₹1,745. An annual commitment is required. The qualifying base licence costs extra, and GST is extra. The offer runs 1 July, 31 December 2026. Confirm renewal terms before buying.
ChatGPT has free and paid plans. Check the official plan information and your local checkout before paying; features and limits can change. Tool subscriptions are separate from workshop fees.
Draft with AI. Check it yourself. Share only after approval.
Protect patient information and keep a person responsible
For practice, leave out real names, reports, prescriptions, phone numbers, appointment lists and other identifying details. Use invented information. Before any patient information is used, your organisation should approve the tool, account, contracts, settings and workflow. Removing a name alone may not remove every identifying detail.
WHO warns that generated answers may be false, incomplete or biased. Read the original source, check dates and numbers, and have the appropriate professional approve the final text. General chatbots should not make diagnosis, treatment, dosage, triage or urgent-care decisions.
Follow AI news without feeling left behind
You do not need every new model or subscription. Pick one useful task and practise it for a week. Set aside a short weekly news-reading slot. For each announcement, ask: Is it available here? Is our organisation allowed to use it? Does it solve a task we actually have?
Two developments worth understanding: Anthropic announced Claude for Healthcare on 11 January 2026; Microsoft described Dragon Copilot expansion on 5 March 2026. These are vendor announcements with market, licence and feature limits, not proof that a general chatbot can deliver better patient outcomes.
How Parikshit Khanna’s training can help
Parikshit Khanna is an AI trainer and Founder of Digital Training Jet. A guided session gives your team time to practise clear instructions, spot mistakes, check sources and agree who approves the final work. Ask for examples based on your department’s everyday tasks and time for beginner questions.
AI-generated illustrative portrait based on supplied references.
Plan a session around your team’s work
Share your team’s roles, group size, preferred language, two or three repetitive tasks, approved tools and possible dates. Ask for a proposal covering practice time, take-home examples, review responsibilities and follow-up support. Workshop fees, delivery format and travel are confirmed in the proposal. Results should be measured in your own setting.
To discuss training for your team, message Parikshit Khanna on WhatsApp at +91 99972 13177 or email pkhanna123@gmail.com with your team size, tools and preferred dates.
Common questions
Do I need coding skills? No. Begin with a clearly described task and a short draft you can check.
Will AI replace professional judgement? Your team remains responsible for the final output. Training focuses on careful use and review.
Should everyone buy a paid account? Start with the tools your organisation already approves. Buy additional access only for a demonstrated need.
Book healthcare and pharma AI training: contact Parikshit Khanna
Send your organisation name, roles, headcount, location, approved AI tools, preferred dates and two priority tasks. You will get a written proposal with scope, dates and fees. Please share anonymised examples only.
Channel | Details |
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Business email | |
Personal email | |
Phone | +91 99972 13177 | +91 80762 50669 |
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