IIT Delhi Launches AI In Healthcare Executive Programme For Professionals

The Indian Institute of Technology, Delhi, in partnership with TeamLease, has introduced an online executive programme centred on AI in Healthcare. This 24-week course is designed for clinicians, engineers, data professionals, and med-tech entrepreneurs. It aims to provide participants with the skills needed for innovation in patient care, diagnostics, public health, and hospital operations.

Participants will benefit from live, interactive online sessions scheduled on weekends. This arrangement offers flexibility for those who are working professionals. The programme combines both academic and practical insights into AI applications within healthcare environments.

Course Structure and Fees

The course fee is Rs 1.20 lakh plus 18 per cent GST. Participants will gain hands-on experience with clinical datasets and explore hospital data systems. They will learn to build AI models for diagnosis, risk scoring, imaging, and predictive analytics.

Graduates from this programme can pursue various career paths. Opportunities include roles such as AI/ML Engineer, Healthcare Data Scientist, Clinical AI Researcher, Digital Health Consultant, Medical Imaging Analyst, AI Product Manager in HealthTech, and Regulatory/Data Governance Specialist.

Eligibility and Application

Any graduate professional working in industry or academia with a background relevant to AI in healthcare is eligible to apply. Interested individuals can register through the application link: ceppay.iitd.ac.in/programAdmission?jobOpeningId=40.

The course commences in November. It promises to provide participants with future-ready skills essential for driving advancements in healthcare technology.

"The course will be delivered via live, interactive online sessions on weekends," ensuring that working professionals can participate without disrupting their schedules.

This initiative by IIT Delhi aims to bridge the gap between technology and healthcare by training professionals who can effectively integrate AI solutions into medical practices.