6-Day Offline ATAL Faculty Development Program (FDP) on "Explainable and Responsible AI for Healthcare: From Medical Imaging to Generative AI Systems" aims to provide comprehensive knowledge of emerging AI technologies for healthcare. The 6-day program covers Explainable AI, Generative AI, Machine Learning, and Deep Learning for disease detection and medical imaging. Participants will explore foundations of large language models and optimized transformer architectures for medical domain. The FDP also introduces feature engineering and classification approaches for healthcare data. Advanced topics such as GANs and Diffusion Models for medical imaging will also be discussed. The program includes hands-on sessions on AI for disease detection and healthcare chatbots using Dialogflow. Participants will gain exposure to real-world healthcare applications and deployment challenges of Generative AI systems. Special emphasis will be placed on ethical, responsible, and safe AI practices.
This FDP is designed for faculty, researchers, industry professionals & students, and offers both theoretical and practical learning. By the end of the program, participants will be enriched with the necessary knowledge to implement Explainable, Reliable, and Scalable AI techniques to develop innovative healthcare solutions while fostering collaboration, knowledge sharing, and future research. They will also be prepared to engage in interdisciplinary collaboration, promote knowledge exchange, and contribute to cutting-edge research and innovation that addresses emerging healthcare challenges
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