Artificial Intelligence in Healthcare
Master AI Tools, GenAI, and Healthcare Data to Build Real-World HealthTech Solutions. No Coding Required, Learn from EICTA consortium Experts
- Certificate from EICTA consortium upon successful completion
- 12 Weeks of live and practical learning with healthcare-focused AI tools
- Capstone project to pitch an AI-based healthcare solution with expert mentorship
Beginner Level
Online Live (Batch-2)
12 Weeks
What you'll learn
- Build foundational knowledge of AI and ML concepts tailored to healthcare
- Explore clinical datasets, model evaluation, and real-world deployment use cases
- Apply explainable and generative AI tools like SHAP, LIME, and ChatGPT
- Learn healthcare-specific ethics, FHIR/HL7 standards, and digital integration
- Design and pitch innovative AI-driven solutions for real clinical problems
Skills you'll gain
Tools
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Earn a career certificate
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Course Instructor
Dr. Kashmira Ganji
Post Doctoral Fellow, Department of Management Sciences, Indian Institute of Technology, Kanpur.
Dr. Kashmira is a researcher with expertise in healthcare technology, IoT applications, and digital transformation in supply chains. Her work explores how emerging technologies are improving healthcare delivery and operational efficiency. With several publications in reputed journals, she brings a practical, research-driven approach to teaching, bridging the gap between technology and healthcare systems.
Learn from a Healthcare-AI Expert
Guided by Dr. Kashmira Ganji from IIT Kanpur, the course blends deep research, healthcare innovation, and emerging AI tools.
No-Code, Real-World Tools
Use platforms like ChatGPT, SHAP, and healthcare datasets—no coding experience needed to learn and build solutions.
Capstone with Startup Thinking
Pitch your own AI-based health-tech solution in the final project, simulating real-world innovation and application.