BSc Nursing – Build a Confident & Compassionate Career in Healthcare
This advanced course gives practising doctors a comprehensive, practical, and case-based introduction to how artificial intelligence (AI) is transforming healthcare. Through structured modules, real-world case discussions and hands-on frameworks, you’ll gain the skills to evaluate, adopt and leverage AI tools in clinical practice.
We draw on years of teaching, clinical practice and technology integration to present AI in a way that is easy to understand, memorable and directly applicable.
INR 10,000 (Inclusive of Taxes)
EMI options available through the payment Gateway.
Duration - 3 months
A course that engages, enriches and evolves your clinical practice
A program designed to inspire, enhance, and advance your expertise in AI-driven patient care.
Unique Highlights
- Real hospital cases
- AI demonstration labs
- Peer-to-peer review and feedback
- Custom GPT and prompt engineering workshops
- Hands-on with actual tools (links, guides, written sheets included)
- Capstone problem-solving directly relevant to participants’ own practice
- Weekly live video sessions, Weekly interactive workshops, peer assignments, online networking
- Assignments focus on practical tool use, simulation, and real case problems
- Certification on successful completion
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Fee refund/cash prizes for those awarded the best projects at the end of the course
Special features
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Current Tools Integrated (suggested for participants):
- ChatGPT, Gemini, Claude, Perplexity: for patient education, research, documentation, summarizing literature
- NotebookLM: for AI-powered research guides
- Public demo AI for radiology and case diagnosis
- Canva: for presentations
- ElevenLabs: for telecalling automation and video content
- Custom GPT creation tools (OpenAI, Gemini workspace)
Who is this course for?
Practising physicians across specialties and Clinical leads and decision-makers in hospitals who want to understand AI-driven care pathways
Medical consultants and senior residency doctors wanting to adopt AI in their workflows
Details
This is a foundation course on Artificial Intelligence (AI) in Healthcare), designed for Healthcare Professioanls who want to understand how AI is transforming clinical decision-making. The course introduces the essential principles of AI — what it is, how it works, and how it can be responsibly applied in real-world healthcare settings.
Through a structured, clinically oriented approach, you’ll learn how AI assists in diagnosis, workflow optimisation, patient monitoring, and treatment planning. The focus is on developing AI literacy for doctors — understanding concepts like algorithms, bias, interpretability, and validation, without needing a technical background.
By the end of the course, you’ll be able to interpret AI outputs with confidence, critically evaluate new tools, and identify safe, ethical, and effective ways to incorporate them into your clinical practice. You’ll develop the confidence to engage in informed discussions about AI, collaborate with data teams, and take leadership in guiding digital transformation within your department or institution.
Course Curriculum
Month 1: AI Fundamentals—Building Literacy & Demystifying Tools
Module 1: The New Reality—Why AI is Essential for Healthcare
- Kick-off Webinar with real stories from Indian hospitals
- Interactive Polls: Map participant expectations & AI fears/misconceptions
Module 2: AI vs Traditional Programming: What’s Different? Demystifying Key AI Terminology
- Explanation with analogies (as in your overview, teaching computers like teaching children)
- Activity: Role-play – physicians versus an “AI bot” handling questions
- AI, ML, Deep Learning, NLP (using analogy-rich teaching)
- Quiz: Match-the-concept workshop
Module 3: Prompt engineering and Essential AI Tools for Clinicians
- Live Demonstrations: ChatGPT, Claude, Perplexity, Gemini
- Hands-On Assignment:
- Explore Perplexity for medical query generation
- Try out ChatGPT for writing patient education material or prescriptions
- Use Gemini/Claude for summarizing a medical research paper
Module 4: Advanced Prompt Engineering & Custom GPTs
- Workshop:
- Step-by-step guidance to make personal GPTs (see Fortis Brochure)
- Written prompt templates for clinical scenarios (discharge summary, patient FAQs, referral letters)
- Peer Assignment: Each participant builds one custom GPT for their routine—demo in Q&A
Month 2: AI in Practice—Clinical, Admin, and Patient Engagement
Module 5: How to use AI for study,
- Hands-on:
- Use NotebookLM for literature reviews, “study guide” generation with real topics
- Write abstracts, search PubMed, make charts using AI tools
- Group Project: Practical used cases of notebook lm in your work
Module 6: How to use AI for research form identifying research question to data collection
· Prompt for different stages of research
· Identify and design a research topic
- Group Project:Small teams select a sample clinical/research scenario and use AI for data summary/presentation
Module 7: How to make presentation and personal branding with AI
- Hands-on: Canva for instant medical presentation, social media avatar creation, ElevenLabs for telecaller automation
- Project: Make a short educational video with an avatar, post on social media
Module 8: Workflow Automation: Admin and Documentation
- Live Demo: Medical Scribe tools (virtual demo or YouTube videos)
- Simulation Exercise:
- Use a mock AI scribe to create visit notes
- Analyze how much time gets saved; share results
Module 9: AI for Imaging, Diagnostics
· Image classification, segmentation, and pattern recognition
· Use cases: Lung nodules, fractures, diabetic retinopathy, breast cancer
· Real-world workflow integration — PACS, DICOM, and AI dashboards
· Limitations and regulatory approvals (FDA/CE)
Hands-On: Try demo tools (Google Med-PaLM, RadNet AI, or open models like CheXNet).
Outcome: Understand how imaging AI augments radiologists’ decisions
Practice Assignment: Upload sample images to a demo radiology AI platform (find public ones online: e.g., ChestXray tool, demo retinopathy screening
Month 3: Critical Evaluation, Ethics, and Capstone
Module 10: AI in Diagnosis & Clinical Decision Support (CDS)
Key Topics:
- Data-driven pattern recognition in EHRs
- Predictive analytics (e.g., sepsis, cardiac events)
- Rule-based vs. ML-based CDS
- Integration challenges and human oversight
Workshop: Build a mock CDS flow (using Excel/Google Sheets + simple ML model).
Outcome: Ability to design and evaluate a CDS pipeline safely.
Module 11: Critical Appraisal—What AI Can & Cannot Do
- Introduction to model bias, explainability, and fairness
- Debate Panel: “Should AI make independent therapeutic decisions?”
- Discussion Board: Post simulated ethical dilemmas; participants respond
Module 12: Law, Ethics, and Responsible AI
· Healthcare data ecosystem (EHRs, imaging, lab data, genomics)
· Ethical, legal, and regulatory context (HIPAA, NDHM, EU AI Act
- Assignment: Write a checklist for responsible AI adoption in your clinic/hospital
Module 13: Roadmap—Applying AI Beyond the Classroom
- Interactive Session: Action plans for implementation; feedback on barriers
- Capstone Project:
- Select one clinical or administrative workflow
- Research and evaluate existing AI tools
- Propose a pilot use-case, including metrics for assessment
Gain Advantage From experts
Dr Harsh Bhayana, MD (Pediatrics)
Director, Sonakshi Children Hospital & Sonakshi IVF Pvt Ltd
AI in Healthcare Educator | Clinician | Entrepreneur
Dr. Harsh Bhayana
MBBS, MD (Pediatrics)
Dr Harsh Bhayana is a paediatrician and healthcare innovator with over 15 years of clinical and leadership experience. After earning his MBBS (Government Medical College, Patiala) and MD (Pediatrics, PGIMER Chandigarh), he trained at Apollo Hospitals, Delhi, and the Health Department of Haryana before founding Sonakshi Children Hospital in Hisar—now a 49-bed NABH-accredited multispecialty facility with departments in pediatrics and gynaecology.
His passion for improving healthcare through technology led him to establish Sonakshi IVF Pvt Ltd, a rapidly expanding chain of fertility centres in Haryana. Building on his interest in clinical transformation, Dr Harsh has become a national advocate for Artificial Intelligence (AI) in Healthcare, training over 250 doctors through hands-on workshops at IIT Roorkee, IIT Delhi, and IMA Gurgaon. He has also presented at major conferences including Haryana NEOCON and North Zone NEOCON (Amritsar)
Currently, he is pursuing an Executive Programme in Healthcare 5.0 at IIT Delhi, expanding his expertise in integrating AI workflows into hospital settings. His work focuses on practical, ethical, and patient-centric use of AI—bridging the gap between clinicians and cutting-edge digital technologies.
How The Course Benifits You
Flexibility & convenience of time and space
Safe & ethical: Understand data privacy, bias, interpretability, and regulatory context.
Clinically relevant: Real-world cases across radiology, internal medicine, oncology, and primary care.
Enjoyment and confidence to upskill yourself and get certification
Optimal pricing with maximum value; achieving the best costs for efficiency and effectiveness
Credibility & career advancement opportunities
Get Certified By Charkos Academy!
Yes! You will get a course completion certificate by Charkos Academy once you complete the course and the assignment!
FAQ
Is prior AI experience required?
No. The course starts with fundamentals designed for clinicians.
Will this replace doctors?
No. The course emphasizes AI as an assistive tool, not a replacement.
How is the course delivered?
Blended format with self-paced online modules. (live virtual sessions, and case discussions.)
Will I receive a certificate?
Yes — participants receive a Certificate of AI in Healthcare-3 month Practical and Interactive course upon successful completion and 75% marks in final Assessment.
How long is the course accessible for?
The course is available with access for 90 days from the date of course purchase. You are welcome to watch the videos as many times as you like to master the learning.
Can my organisation book group training?
Yes — group packages and tailored delivery options are available for healthcare teams.