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Executive Programme for AI in Healthcare

Indian Institute of Technology Delhi (IIT Delhi)
Indian Institute of Technology Delhi (IIT Delhi)
Duration

6 Months

Type

Executive

Mode

Online

₹1,50,000

Total Program Fees

i

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Program Overview

The Executive Programme for AI in Healthcare is designed for professionals seeking to apply artificial intelligence to clinical, operational and public health challenges. The programme combines AI and machine learning foundations with healthcare data, medical imaging, predictive analytics and deployment workflows. Participants gain practical experience through live sessions, real-world datasets, hands-on projects and a faculty-guided capstone.

Program Highlights

Build practical knowledge of AI, machine learning and deep learning applications in healthcare.
Work with clinical datasets including electronic health records, medical imaging, genomics and sensor data.
Gain exposure to tools such as Python, MATLAB, TensorFlow, Streamlit and healthcare interoperability standards.
Apply learning through case studies, hands-on assignments and a capstone focused on a real healthcare challenge.
Participate in a two-day IIT Delhi campus immersion featuring a 12-hour hands-on workshop.

Curriculum

Module I: Foundations of AI (ML & DL) for Healthcare
  • Fundamentals of AI, Machine Learning, and Deep Learning (non-technical explanation) Prompt Engineering and Applications of AI in Healthcare
  • Supervised vs. Unsupervised Learning, Key ML/DL algorithm walkthrough (Linear Regression, Decision Trees, Clustering, logistic regression, SVM, Neural Network (NN), Deep NN, Convolution NN, LLM, Generative AI 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.
Module II: 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
Module III: 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
Module IV: 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, (Application of AI in radiology, genomics, surgery, pharma, etc) regulatory basics AI-powered chatbots, virtual consultations
  • Case Study
  • Niramai breast cancer AI screening.
Module V: 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
Module VI: 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
  • Expert Roundtable: Expert Roundtable
  • Healthcare innovation trends, regulatory talks, med-tech career guidance
  • Assessments: Assessments
  • Quizzes, Assignments, Capstone Projects, Mid Term and End Term reports
Expert Roundtable
  • Healthcare innovation trends
  • Regulatory talks
  • Med-tech career guidance
Assessments
  • Quizzes
  • Assignments
  • Capstone Projects
  • Mid Term and End Term reports

Learning Outcomes

1
Apply AI and machine learning concepts to healthcare diagnosis, monitoring and treatment-related use cases.
2
Process and analyse clinical data while considering privacy, ethics and healthcare data standards.
3
Develop and evaluate predictive, imaging and natural language processing models for healthcare applications.
4
Design deployment workflows integrating AI solutions with cloud platforms and hospital information systems.
5
Build and present a clinically relevant AI solution through a faculty-guided capstone project.

Eligibility Criteria

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

Fees & Financing

Program Fee

One-time

₹1,50,000

Total

₹1,50,000

Total Program Fees

1 year · all components included

₹1,50,000

💰 EMI Options Available

Starting from ₹12,500/month with 0% interest for first 6 months. Partner banks: HDFC, ICICI, Axis Bank.

About Indian Institute of Technology Delhi (IIT Delhi)

Indian Institute of Technology Delhi (IIT Delhi)

Indian Institute of Technology Delhi (IIT Delhi)

Established in 1961 as an Institute of National Importance, the Indian Institute of Technology Delhi (IIT Delhi) is one of India's premier institutions for engineering, technology and research. Renowned for its academic excellence, innovation and global collaborations, the institute fosters interdisciplinary learning and industry-driven research. IIT Delhi is committed to developing future-ready professionals and leaders capable of driving technological advancement and societal impact.

View University Profile

Frequently Asked Questions

What is the Executive Programme for AI in Healthcare about?
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.
Who is this programme ideal for?
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.
Do I need a technical or medical background to join?
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.
How are assessments and the final exam conducted?
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.
What kind of certification will I receive upon completion?
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.

Program Details

Duration 6 Months
Mode Online
Fees ₹1,50,000

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