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Application Closure Date : 31st July, 2025

  • Course Duration :

    6 months

  • Course Fees :

    ₹ 1,20,000 + 18% GST

  • Schedule :

    Saturdays, 6:00 PM – 7:30 PM

    Sundays, 11:00 AM – 12:30 PM

  • Course Eligibility :

    Any graduate professional working in industry and academia with area relevant to AI in healthcare

  • Campus Immersion :

    A two-day in-person session at IIT Delhi toward the end of the programme

Executive Programme for AI in Healthcare

Step into the future of healthcare transformation with IIT Delhi’s 6-month Executive Programme for AI in Healthcare - crafted for professionals looking to lead at the intersection of technology and health. This comprehensive programme empowers you to unlock the potential of AI by working with real-world clinical data, building intelligent models, and developing practical solutions for today’s healthcare challenges. Through live weekend sessions, hands-on projects, and expert guidance from IIT Delhi faculty, you’ll gain the skills to innovate, deploy, and integrate AI-driven tools in clinical and public health settings. No prior experience in AI or programming is required - just the drive to make a meaningful impact in healthcare.

Learning Outcomes

Master AI for Healthcare:

Build a strong foundation in AI, machine learning, and deep learning tailored to healthcare - even without coding experience. Explore real-world applications in diagnosis, monitoring, and treatment planning.

Hands-On with Real Clinical Data:

Work with diverse datasets like Electronic Medical Records (EMR), Electronic Health Records (EHR), medical imaging (PACS), genomics, and IoT-based sensor data. Learn to manage sensitive data using MIMIC-III.

Build & Evaluate AI Models:

Create supervised/unsupervised models, apply CNNs for imaging, and use NLP on clinical notes. Evaluate models with healthcare-specific metrics like ROC curves, precision, and recall.

Deploy Real-World AI Solutions:

Learn end-to-end deployment using cloud platforms and HIS integration. Work with standards like FHIR, HL7, and DICOM to ensure interoperability.

Solve Real Problems via Capstone:

Apply your skills in a mentored capstone project with IIT Delhi and AIIMS faculty. Tackle real healthcare challenges and build clinically relevant AI solutions.

Learning Outcomes

Master AI Foundations for Healthcare: Build a strong grasp of AI, machine learning, and deep learning tailored for healthcare - ideal even for those without coding experience. Explore real-world applications in diagnosis, monitoring, and treatment planning.

Hands-On with Real Clinical Data: Work with diverse datasets like Electronic Medical Records (EMR), Electronic Health Records (EHR), medical imaging (PACS), genomics, and IoT-based sensor data. Learn to handle sensitive healthcare data using MIMIC-III (Medical Information Mart for Intensive Care), gaining practical experience essential in the field of artificial intelligence in health care.

Build & Evaluate AI Models: Develop supervised and unsupervised models, apply CNNs for imaging, and use NLP for clinical notes. Evaluate using healthcare-specific metrics like ROC curves, precision, and recall.

Deploy Real-World AI Solutions: Master end-to-end deployment — from cloud platforms and dashboards to integration with Hospital Information Systems (HIS). Work with interoperability standards like FHIR (Fast Healthcare Interoperability Resources), HL7, and DICOM, ensuring your solutions fit seamlessly within the ai in healthcare ecosystem.

Solve Real Problems with a Capstone: Apply your skills in a mentored capstone project guided by IIT Delhi and AIIMS faculty — solve a real healthcare challenge and build a clinically relevant AI solution, showcasing your proficiency in artificial intelligence in health care applications.

Programme Highlights


e-Certificate of successful completion from CEP, IIT Delhi: Earn a prestigious e-Certificate from IIT Delhi upon completing the programme.
Learn from Leading Experts: Learn from IIT Delhi and AIIMS New Delhi faculty who are leaders in AI research and biomedical engineering, bringing real clinical challenges into the classroom. Some guest lectures from other prestigious institutes/Industry will also be included.
Nationally Recognized Prestige:Earn a certification from IIT Delhi - ranked 2nd in the Engineering category by NIRF. This prestigious recognition strengthens your credentials in the rapidly growing field of artificial intelligence in health care.
Hands-On Training with Real Healthcare Data: Master AI/ML fundamentals, clinical data analysis, predictive modeling, deep learning for imaging and NLP, deployment workflows, public health analytics, and healthcare interoperability standards.
Capstone Project on a Real Healthcare Challenge: Apply your learning to a faculty-guided capstone project addressing a real-world problem in healthcare using AI—demonstrating your ability to solve complex, clinically relevant challenges.
Optional Two-Day Campus Immersion at IIT Delhi: Attend an in-person campus immersion for hands-on learning, expert sessions, and valuable face-to-face engagement with faculty and peers at IIT Delhi.
Build Your Professional Network: Engage with a diverse cohort of professionals from healthcare, data science, and technology sectors. Exchange ideas, collaborate on projects, and expand your industry network.
Flexible Learning Schedule: Weekend live sessions designed for working professionals, enabling skill development without disrupting your career.

What Will You Learn


Curriculum Structure


Foundations of AI (ML & DL) for Healthcare
  • Fundamentals of AI, Machine Learning, Deep Learning (non- tech explanation), Applications of AI in healthcare
  • Supervised vs. Unsupervised Learning, Key ML/DL algorithms walkthrough (Linear Regression, Decision Trees, Clustering, logistic regression, SVM, Neural Network (NN), Deep NN, Convolution NN, etc.), When to use what? (Healthcare use cases)
  • Python and MATLAB basics (Variables, Functions, Libraries), Data handling with Pandas & Numpy, Assignments: Analyze sample healthcare CSV data file, signal and images.
Healthcare Data & Clinical Big Data Analysis
  • Overview of EMR data, medical imaging data, histopathology images, physiological signals, genomics data, IoT data, Structure of Indian hospital data (practical exposure)
    Case study: IBM Watson for Oncology’s deployment success and limitations in India
  • Key applications and challenges of healthcare data (Opportunity for problem statements)
  • Overview of public healthcare dataset such as MIMIC-III dataset, BraTS challenge dataset , etc.
  • Healthcare data anonymization, pre-processing, data curation, data cleaning, missing value handling, data normalization, feature engineering, data augmentation, data split for training and testing, qualitative vs quantitative analysis, accuracy evaluation metrics
  • Healthcare data ethics & compliance: HIPAA, GDPR, DISHA
  • Introduction to big data and big data analytics using frameworks such as Apache Spark.
  • Assignment: Related to the Preprocessing sample healthcare dataset
AI Models & Predictive Analytics
  • Development / implementation and optimizations of ML models such as Logistic Regression, Random Forest, SVM, Neural Network, Example Case Studies
  • Development / implementation and optimizations of DL models such as Convolution Neural Networks (CNN), Recurrent Neural Networks, Generative Adversarial Networks (GANs), Transformer for various tasks such as segmentation, classification, prediction, synthetic image generation.
  • Example Project Assignments Options (Python/MATLAB only):
    • CNN model for segmentation of a pathology on medical images such as X-Ray, MRI, CT, etc.
    • ML model for imaging-based diagnosis
    • ML model for physiological signal-based diagnosis
    • CNN model for diagnosis classification of images/disease
    • Image Synthesis using GAN
AI Applications & Healthcare Automation
  • IoT sensors, data streams, real-time AI monitoring
    Case study: AI in diabetic foot ulcers, smart watches
  • Building AI-powered decision support for doctors
    Case study: Apollo CDSS, NHS AI tools
  • Automating admin tasks (billing, triage, discharge), RPA tools intro (UiPath, Automation Anywhere overview)
  • Generative AI in Healthcare: LLMs, no-code tools, prompt engineering, radiology use-cases, regulatory basics
  • AI-powered chatbots, virtual consultations
    Case study: Niramai breast cancer AI screening.
AI Deployment & Integration
  • Create AI-powered healthcare dashboards (Streamlit or MATLAB GUI), Deploy models on cloud (GCP/AWS intro)
  • How AI plugs into HIS workflows, Data visualization using Streamlit or MATLAB only,
  • Case Study: Streamlit-based diabetes risk dashboard used by clinical trial teams
Public Health & Population Analytics
  • Time-series modeling for COVID-like prediction, Geo-mapping disease spread (India datasets)
  • Using AI insights for healthcare planning.
  • Case study I: AI for malaria & dengue surveillance,
  • Case study II: AI in malaria surveillance & mapping in Odisha
Capstone Project
  • Applied AI for healthcare – develop ML/DL model or AI dashboard using Python/MATLAB, final presentation & evaluation
Industry Expert Roundtable
  • Healthcare innovation trends, regulatory talks, med-tech career guidance

Evaluation & Practical Learning Components

Internal Assessments: Periodic quizzes, short clinical AI tasks, mini viva sessions, and capstone project reviews designed to reinforce your understanding throughout the program.

Final Examination: A comprehensive term-end evaluation including an MCQ exam, oral viva, and coding test (Python/MATLAB) to assess both theoretical knowledge and practical skills.

10+ Case Studies and Projects:

Gain practical experience through carefully Gain practical experience through carefully designed case studies and a hands-on project focused on real healthcare challenges. Work with clinical data like EMR data, physiological data, medical images, and genomics while applying AI/ML techniques using tools like Python and MATLAB. These exercises are crafted to help you translate theoretical knowledge into impactful healthcare solutions.

Tools and Applications


Tool to Be Used Purpose Rationale
Python (Pandas, NumPy)/ MATLAB Data Analysis & Cleaning Industry-standard for manipulating clinical data, easy to scale and script
Python (Matplotlib, Seaborn), MATLAB GUI, Streamlit (Python) Visualization & Dashboards Interactive dashboards & GUI building with Python/ MATLAB as front-end tools
Python (scikit-learn), MATLAB Machine Learning Models Covers supervised and unsupervised learning via both code and visual modeling
Python (TensorFlow/Keras), MATLAB (CNN toolbox) Deep Learning / Imaging Real-world applications in radiology, pathology, etc.
Python, MATLAB Data Preprocessing Used for handling missing values, transformations, feature engineering
Python (spaCy, NLTK) NLP & EHR Mining For Named Entity Recognition, text mining of clinical notes
Streamlit (Python), MATLAB App Designer Deployment (Simplified) Build healthcare apps/interfaces for simulation or controlled use
GCP, AWS (Introductory Only) Cloud Awareness (Conceptual) Tool exposure without actual development — Python/MATLAB to be used offline
Python (FHIR client libs), MATLAB for DICOM Standards Handling Maintain compliance with health data exchange protocols
Apache Spark (PySpark) Distributed Data Processing & Scalable Analytics Enables fast, large-scale processing of healthcare data—ideal for handling high-volume datasets like EHR logs or sensor streams, with seamless integration into the Python ecosystem.

Fee Structure


Particulars Amount (₹)
Programme Fees ₹ 1,20,000
GST @ 18% ₹ 21,600
Total Fees ₹ 1,41,600
Note:

All fees should be submitted in the IITD CEP account only, and the details will be shared post-selection.

The receipt will be issued by the IIT Delhi CEP Account for your records, which can be downloaded from the CEP Portal.

Easy EMI options available.

Loan and EMI Options are services offered by Teamlease Edtech. IIT Delhi is not responsible for the same.

GST @ 18% will be charged extra in addition to the fee.

Fee Schedule


Installment Installment Date Amount (₹)
I Due within 3 Days of offer letter. ₹ 60,000+GST
II 31st October, 2025. ₹ 60,000+GST
Total fees – ₹ 1,20,000+GST [No cost EMI available]
Note:

GST @ 18% will be charged extra in addition to the fee.

Withdrawl & Refund From Programme

Candidates can withdraw within 15 days from the programme start date. A total of 80% of the total fee received will be refunded. However, the applicable tax amount paid will not be refunded on the paid amount.

Candidates withdrawing after 15 days from the start of the programme session will not be eligible for any refund.

Easy EMI options available. Loan and EMI Options are services offered by Teamlease Edtech. IIT Delhi is not responsible for the same.

If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.ac.in and cepdelhi@digivarsity.com, stating your intent to withdraw. The refund, if applicable, will be processed within 30 working days from the date of receiving the withdrawal request.

Programme Certificate

Certificate of Completion

Mba International Business

Certificate of Participation

Mba International Business

Programme Coordinators


 Dr. Anup Singh
Professor
CENTRE FOR BIOMEDICAL ENGINEERING, INDIAN INSTITUTE OF TECHNOLOGY DELHI.

Prof. Anup Singh is a leading researcher and educator in biomedical imaging, currently serving as faculty at the Centre for Biomedical Engineering, IIT Delhi, and the Department of Biomedical Engineering, AIIMS New Delhi. He is also an associate faculty at Yardi School of AI at IIT Delhi. With a PhD from the Department of Mathematics and Statistics at IIT Kanpur and postdoctoral experience from the Department of Radiology at the University of Pennsylvania, Dr. Singh brings over a decade of expertise in advanced MRI techniques, quantitative imaging, machine learning & deep learning for medical imaging, along with an experience in the development of MRI- compatible devices. He has authored 80+ peer-reviewed papers (including in Nature Medicine), holds 5 US/ Indian patents, and is actively involved in translational biomedical imaging research.

 Prof. Amit Mehndiratta
Professor
CENTRE FOR BIOMEDICAL ENGINEERING, INDIAN INSTITUTE OF TECHNOLOGY DELHI.

A physician-engineer, Dr. Amit Mehndiratta holds an MBBS from Dr. MGR Medical University, a Master's from IIT Kharagpur, and a D.Phil. from the University of Oxford. He currently serves as joint faculty at IIT Delhi and AIIMS New Delhi, focusing on neuro-assistive technologies and biomedical imaging. His past affiliations include Harvard Medical School, Massachusetts General Hospital, and the German Cancer Research Center. He has received multiple awards, including the SERB Technology Translation Award and the Ericsson Innovation Award. Dr. Mehndiratta leads CARE-DAT, a CoE in Assistive Technology supported by ICMR.

Frequently Asked Questions(FAQ's)

This 6-month programme enables professionals to apply artificial intelligence in health care by working with real clinical data, building intelligent models, and developing AI-driven solutions for clinical and public health challenges. Delivered through live weekend sessions, hands-on projects, and expert mentorship from IIT Delhi and AIIMS faculty, it blends academic insight with real-world applicability.

Designed for professionals in healthcare, life sciences, IT, and related fields, this AI in healthcare course is especially relevant for clinicians, researchers, and technology leaders aiming to solve healthcare challenges using AI. Whether you're in clinical practice or healthcare management, the course offers an opportunity to explore impactful AI applications.

No. The programme welcomes graduate professionals from diverse academic and professional backgrounds who work in or aspire to enter the AI healthcare industry. The curriculum includes foundational modules and structured guidance, making it accessible for participants without prior technical or medical expertise.

Learning is reinforced through periodic quizzes, clinical AI tasks, mini viva sessions, and capstone project reviews. The final assessment covers both theory and application via multiple-choice questions (MCQs), an oral viva, and a practical coding test using Python or MATLAB. All evaluations are conducted online with proctoring to ensure academic integrity. Foundational support is provided for those new to coding.

The two-day campus immersion offers a valuable chance to engage face-to-face with IIT Delhi faculty and peers. However, travel, accommodation, and related costs are not included in the programme fee and must be borne by the participants.

Yes. You will connect with a diverse cohort of healthcare, technology, and data science professionals through live sessions, collaborative projects, and the two-day campus immersion - building strong professional relationships in the evolving AI in healthcare space.

Participants who meet the evaluation requirements will be awarded an e-Certificate of Successful Completion from CEP, IIT Delhi. Those who fulfill the minimum attendance but not the evaluation criteria will receive a Certificate of Participation. This certification validates your skills in AI for healthcare and enhances your profile in the growing healthcare AI sector.