IIT Delhi opens registration for Executive Programme for AI in Healthcare; apply by 10 December 2026

The Indian Institute of Technology (IIT) Delhi today, 5 October 2026, announced the opening of registrations for its Executive Programme for AI in Healthcare. This 24-week online executive course aims to empower healthcare professionals and technologists with AI-based skills, with the goal of revolutionising patient care in India.

The programme is a collaboration between IIT Delhi and TeamLease EdTech. It targets graduate professionals with relevant study and experience in industry or academia, including clinicians, engineers, data professionals, and med-tech entrepreneurs. The initiative comes as the Indian healthcare industry is projected to double its innovation potential to a $60 billion opportunity by FY28, with the digital healthcare market, driven by AI diagnostics and remote care, forecast to exceed $37 billion by 2030 by NITI Aayog and EY.

Programme Structure and Objectives

The Executive Programme for AI in Healthcare is structured to equip participants with skills to drive innovation across patient care, diagnostics, public health, and hospital operations. According to Professor Manav Bhatnagar, Head of CEP at IIT Delhi, the programme’s mission is to build next-gen capabilities that respond to India’s evolving healthcare needs, stating that AI is central to modern medicine.

The curriculum covers a broad range of topics, starting with the fundamentals of AI, Machine Learning, and Deep Learning. It includes practical skills such as Python and MATLAB basics, data handling with Pandas & Numpy, and the analysis of sample healthcare CSV data files, signals, and images. Shantanu Rooj, Founder and CEO of TeamLease EdTech, highlighted that the collaboration brings a powerful AI curriculum to those at the heart of healthcare innovation, preparing professionals to bridge the gap between clinical knowledge and data intelligence.

Key Course Content and Applications

The programme provides an overview of various healthcare data types, including EMR data, medical imaging data, histopathology images, physiological signals, genomics data, and IoT data. It addresses critical aspects of healthcare data management, such as anonymization, pre-processing, data curation, cleaning, missing value handling, normalization, feature engineering, data augmentation, and data splitting for training and testing.

Participants will also explore healthcare data ethics and compliance, covering regulations like HIPAA, GDPR, and DISHA. The course includes learning about big data and big data analytics using frameworks such as Apache Spark. It focuses on the development and optimization of ML models (Logistic Regression, Random Forest, SVM, Neural Network) and DL models (CNN, RNN, GANs, Transformer). Applications of AI in radiology, genomics, surgery, pharma, and regulatory basics are also covered, alongside building AI-powered decision support for doctors and automating administrative tasks. The curriculum extends to generative AI in healthcare, LLMs, no-code tools, prompt engineering, creating AI-powered healthcare dashboards, and deploying models on cloud platforms (GCP/AWS intro). Time-series modeling for prediction and geo-mapping disease spread are also included.

Application Details and Fees

Registrations for the Executive Programme for AI in Healthcare are now open. The last date to apply for the upcoming batch is 10 December 2026, with the programme scheduled to commence on 12 December 2026. The total programme fee is ₹1,20,000 plus GST, and a non-refundable application fee of ₹1,000 plus GST is required.

One batch of the Executive Programme for AI in Healthcare previously ran from November 2025 to April 2026, with programme code 2024/PQIP/45. The current programme aims to bridge the gap between AI’s research potential and its practical application in healthcare settings, addressing challenges such as regulation, data governance, clinical validation, infrastructure, and trust.

Further reading

• AIEED 2027 registration opens October 1; apply by December 10 for design courses
• TIFR GS 2027 registration opens: apply by 25 October for PhD, Integrated PhD, MSc programs
• Nirma University MBA admission 2027 registration open; apply by December third week
• Gujarat NEET MDS 2026 round 3 registration opens: apply by October 2
• UCEED 2027 registration opens for B.Des admissions; apply by October 31

Written by Nishit Kumar

Nishit Kumar is a senior EdTech industry leader with over a decade of experience in building and scaling education platforms, shaping their product, content, and growth strategy. At FindMyCollege, Nishit oversees content and editorial strategy, guiding topic selection and content frameworks to ensure accuracy, relevance, and student-first value across the website.

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