AI-Powered Healthcare for Doctors: Practical, Case-Based
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 ----- (Inclusive of Taxes)
EMI options available through the payment Gateway.
Duration - ? 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
Special features
- Practical knowledge + hands-on AI tool exploration
- Scenario-based learning: “What would you do?” in AI-augmented care
- Interdisciplinary approach: doctors + technologists + healthcare systems
- Flexible (live + on-demand) to allow study alongside your clinical work
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
Course Curriculum
Module 1: Foundations of AI in Healthcare
- Understanding AI, ML, DL: what every doctor must know
- Key concepts: algorithms, data, validation, bias
- Real-world AI tools in diagnostics, imaging, clinical decision support
- Case discussion: AI in radiology and pathology
- Assessment
Module 2: Integrating AI into Clinical Practice
- Workflow transformation: from “AI as tool” to “AI as partner”
- Data governance, privacy, ethics in clinical AI
- Case studies: AI in cardiology, oncology, primary care
- Assessment
Module 3: Advanced Topics & The Future of AI in Healthcare
- Interpretability, accountability & regulatory landscape
- AI in personalised medicine, predictive analytics, telehealth
- Hands-on mini-project: select a clinical problem → evaluate AI solution → design implementation plan
- Final assessment & project presentation
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 Approach to Haematology upon successful completion.
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.