AI for Medical Professionals 2026

AI for Medical Professionals 2026 | IIIT Hyderabad

Online Program · 2026

AI for Medical Professionals – 2026

A 4-module program designed for medical students, clinicians, and faculty to understand, evaluate, and apply AI/ML in healthcare settings.

📆 Starts June 1st 2026

⏱️ 3 hrs/week · 4 Modules

💻 Flexible online learning

📜 Certificate by IIIT-H, IHub-Data & NAMS

Program Details

Objectives

Providing a foundational understanding of AI and its relevance to healthcare.
Familiarizing participants with the applications of AI techniques in clinical practice.
Fostering awareness of ethical and governance issues related to AI in medicine.

Target Group

Postgraduate medical students (MD/MS/MDS/Equivalent).
Faculty and medical professionals (MD/MS/MCH/DM/MDS/MBBS/BDS).

Eligibility

Basic knowledge of healthcare processes and clinical practice.
Curiosity for understanding the impact of modern technology in healthcare.

Expected Outcomes

Understanding of AI concepts and their applications in healthcare.
Ability to evaluate AI tools in clinical settings.
Hands-on experience with AI tools and basic model development.
Improved ability to critically assess AI research and technologies.
Enhanced ability to work collaboratively on AI projects in healthcare.

Previous Iterations

This announcement is for the third improvised iteration for Medical Professionals.
The first iteration in June 2025 had participants from 110 academic and clinical institutions in India.
The second iteration in December 2025 saw participants from 141 academic and clinical institutions in India.

Course Fees

For working professionals: Rs 30,000 and for bulk admissions (20+ participants from a single institution): Rs 25,000.
For PG students: Rs 15,000

Course Content

Comprehensive coverage from AI basics to clinical applications and ethics.

Module 1: Introduction to Artificial Intelligence (AI) in Healthcare

Clinical data sets: Data sources and types (structured, unstructured); Standards in data acquisition and management; Opportunities and challenges in data handling
The role of smart and intelligent systems in clinical workflow: Traditional vs. intelligent systems in healthcare; concepts of intelligence and smartness
Recent Inroads / Trends of AI in Healthcare: Landmark applications in healthcare

Module 2: Basics of Machine and Deep Learning (ML & DL)

Introduction to AI: Definition, history, evolution, and applications
Learning paradigms: Supervised (classification, regression), Unsupervised (clustering), Reinforcement Learning
The ML Pipeline: Feature extraction, selection, dimensionality reduction; Model building, validation, and evaluation metrics
Recent Trends: Generative AI, Foundational Models, ChatGPT
ML & DL Algorithms: Tree-based methods (decision trees, random forests), Neural Networks (MLP, SVM), Hierarchical Clustering, Deep Neural Networks (CNNs, RNNs, Transformers)

Module 3: Clinical Applications

Case Study Framework: Clinical presentation & AI/ML role; Data prep & feature processing; Model building & evaluation; Results & inference
Domains (any 4): Screening, Diagnosis, Prognosis, Treatment, Patient Management, Hospital Resource Management
Specific Case Studies: Different data types (biosignals, images, tabular, molecular, textual) with relevant algorithms (tree-based, NN, DNN)
Signal-based – ECG (cardiovascular diseases), EEG (sleep staging)
Applications by Data Type:
- Image-based – Retinal Scans (Diabetic Retinopathy), Chest X-ray (Pneumonia/Covid)
- Tabular – EHRs (Covid, Sepsis)
- Molecular – Genomics (Cancer), Structural Biology (Drug Discovery)
- Text – Medical Q&A systems, ChatGPT Chatbots for Physical & Mental Health

Module 4: Ethics and Governance of AI

Data protection, privacy, anonymity, biases – Regulations and governance frameworks for AI as a medical device

Hands-on AI Projects (Optional)

Building a basic machine learning model
Simple AI projects relevant to healthcare

Course Delivery & Certification

Lectures

Pre-recorded lectures (~1 hour, delivered as 4 videos of 15 minutes each) released weekly for flexible self-paced learning.

Online Contact Sessions

Weekly 1-hour live sessions covering lecture summaries, tutorials, Q&A, and demonstration of case studies.

Demo of AI Applications

Simple AI applications relevant to healthcare demonstrated during live sessions.

Study-time

Participants are expected to dedicate around 3 hours per week.

Assessment

Short quizzes/assignments after each video module and a post-course assessment to measure learning outcomes.

Project Work

Participants gain a unique opportunity to apply their learning through hands-on projects using real-world medical datasets. Guided by expert faculty and dedicated TAs, they design, build, and evaluate AI/ML models in clinically meaningful scenarios, gaining practical experience, technical confidence, and a portfolio-ready project.

Certification

Certificate of course completion will be jointly issued by IIIT-H, IHub-Data, & NAMS.

Interested Candidates

Interested candidates, please register using the link below.

Institutes of Enrolled Participants in previous cohorts

Institutes from India (Previous Cohorts)

ACSR Government Medical College Nellore Andhra Pradesh India
All India Institute of Medical Sciences (AIIMS) Bathinda Punjab India
All India Institute of Medical Sciences (AIIMS) Bhubaneswar Odisha India
All India Institute of Medical Sciences (AIIMS) Bibinagar Telangana India
All India Institute of Medical Sciences (AIIMS) Bhopal Madhya Pradesh India
All India Institute of Medical Sciences (AIIMS) Bilaspur Himachal Pradesh India
All India Institute of Medical Sciences (AIIMS) Gorakhpur Uttar Pradesh India
All India Institute of Medical Sciences (AIIMS) Jammu Jammu & Kashmir India
All India Institute of Medical Sciences (AIIMS) Jodhpur Rajasthan India
All India Institute of Medical Sciences (AIIMS) New Delhi India
All India Institute of Medical Sciences (AIIMS) Raebareli Uttar Pradesh India
All India Institute of Medical Sciences (AIIMS) Rajkot Gujarat India
All India Institute of Medical Sciences (AIIMS) Rishikesh Uttarakhand India
Amala Institute of Medical Sciences Thrissur Kerala India
Amaltas Medical College Dewas Madhya Pradesh India
Andhra Medical College Visakhapatnam Andhra Pradesh India
Apollo Cancer Centre Chennai Tamil Nadu India
Apollo Hospitals Hyderabad Telangana India
Aravind Eye Hospital Madurai Tamil Nadu India
Asian Institute of Gastroenterology Hyderabad Telangana India
Asian Institute of Nephrology and Urology Hyderabad Telangana India
Basavatarakam Indo-American Cancer Hospital Hyderabad Telangana India
Bethany Hospital Thane Maharashtra India
Care Hospitals Hyderabad Telangana India
Chirayu Medical College Bhopal Madhya Pradesh India
Christian Medical College (CMC) Ludhiana Punjab India
Christian Medical College (CMC) Vellore Tamil Nadu India
District Civil Hospital Ambala Haryana India
East Point College of Medical Sciences Bengaluru Karnataka India
Fernandez Hospital Hyderabad Telangana India
Government Medical College Badaun Uttar Pradesh India
Government Medical College Calicut Kerala India
Government Medical College Siddipet Telangana India
IMS and SUM Hospital Bhubaneswar Odisha India
Indira Gandhi Institute of Medical Sciences (IGIMS) Patna Bihar India
Indraprastha Apollo Hospital New Delhi India
Institute of Liver and Biliary Sciences (ILBS) New Delhi India
Jaslok Hospital Mumbai Maharashtra India
Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER) Puducherry India
Kakatiya Medical College Warangal Telangana India
Kamineni Institute of Medical Sciences Nalgonda Telangana India
Kasturba Medical College Manipal Karnataka India
King George’s Medical University (KGMU) Lucknow Uttar Pradesh India
KIMS Hospitals Hyderabad Telangana India
KPC Medical College Kolkata West Bengal India
Malla Reddy Institute of Medical Sciences Hyderabad Telangana India
Mata Gujri Memorial Medical College Kishanganj Bihar India
Medanta – The Medicity Gurugram Haryana India
MS Ramaiah Medical College Bengaluru Karnataka India
National Institute of Mental Health and Neurosciences (NIMHANS) Bengaluru Karnataka India
Nizam’s Institute of Medical Sciences (NIMS) Hyderabad Telangana India
Osmania Medical College Hyderabad Telangana India
Postgraduate Institute of Medical Education and Research (PGIMER) Chandigarh India
Rainbow Children’s Hospital Hyderabad Telangana India
Rajershi Dashrath Medical College Ayodhya Uttar Pradesh India
Rohilkhand Medical College Bareilly Uttar Pradesh India
Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS) Lucknow Uttar Pradesh India
Saveetha Medical College Chennai Tamil Nadu India
Siddhartha Medical College Vijayawada Andhra Pradesh India
Sir Ganga Ram Hospital New Delhi India
Sir HN Reliance Foundation Hospital Mumbai Maharashtra India
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) Thiruvananthapuram Kerala India
Sri Ramachandra Institute of Higher Education and Research Chennai Tamil Nadu India
Sri Venkateswara Medical College Tirupati Andhra Pradesh India
St. John’s Medical College Bengaluru Karnataka India
Tata Memorial Centre (TMC) Mumbai Maharashtra India
Tata Memorial Centre (TMC) Varanasi Uttar Pradesh India
Tezpur Medical College Tezpur Assam India
Yashoda Hospitals Hyderabad Telangana India

International Institutes (Previous Cohorts)

Aster DM Healthcare Dubai – UAE
Burjeel Hospital Dubai – UAE
Burjeel Medical City Abu Dhabi – UAE
Carol Davila University Bucharest – Romania
Dr Ismail Polyclinic Dubai – UAE
Houston Clinic Dubai – UAE
James Paget University Hospital Norfolk – UK
Khoo Teck Puat Hospital Singapore – Singapore
NHS Sheffield Teaching Hospitals Sheffield – UK
University of Puthisastra Phnom Penh – Cambodia

Current Enrolled Participants

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