The Centre of Excellence in Computer Vision, Alliance School of Advanced Computing, conducted a Faculty Development Programme (FDP) titled Empowering Vision and Voice Through Generative AI and LLM from 5 to 9 May 2025. The programme was held in hybrid mode and brought together faculty members and experts to explore advanced applications of Generative AI and large language models (LLMs) across domains including computer vision, speech processing, research, and ethics.

Expert Sessions from Academia and Industry

The FDP featured expert-led sessions by professionals from reputed academic institutions and industry organisations such as IIT Guwahati, IISc Bangalore, Microsoft, Bosch, and CDAC. The sessions focused on current trends and real-world applications of AI models.

Prof. Dr. Pradip K. Das from IIT Guwahati delivered lectures on characterisation of image and speech data. Prof. Venkatesh Babu Radhakrishnan presented insights on bias mitigation and controllability in generative AI models. From IIT Bangalore, Dr. Jaya Sreevalsan Nair and Dr. Viswanath Gopalakrishnan led a session on training LiDAR point clouds using computer vision frameworks.

Mr. Sagnik Banerjee from Microsoft provided an overview of Retrieval Augmented Generation (RAG) using Azure OpenAI, highlighting industry use cases. Mr. Ramesh Naidu from CDAC Bangalore shared perspectives on the application of multimodal LLMs in the healthcare sector. Mr. Saravana Kumar from Bosch discussed implementations of Generative AI in education, industry, and academic research.

Alliance University Faculty Contributions

Faculty members from Alliance University contributed to the academic discourse by presenting sessions focused on practical tools and theoretical insights. Dr. V. Vivek introduced AI tools for academic and scientific research. Dr. Ramalakshmi K shared applications of RAG across sectors. Dr. Sarit Maitra explored AI-driven approaches in business domains. Dr. Ravi Chakraborty led a discussion on ethical considerations and responsible AI deployment.

Interactive Learning and Hands-on Experience

The programme incorporated hands-on sessions and practical demonstrations, enabling participants to apply theoretical knowledge using the tools and models discussed. These sessions supported experiential learning and allowed deeper engagement with AI applications in real-world contexts.

Throughout the week, the sessions encouraged collaborative learning and interdisciplinary exchange. Participants engaged in discussions on AI deployment, technological trends, and evolving academic needs in the context of Generative AI.

Valedictory Session and Closing Remarks

The FDP concluded with a valedictory session that marked the successful completion of the programme. Participants received certificates of completion, and the organisers extended appreciation to all speakers, coordinators, and attendees for their contribution to the academic engagement.

Conclusion

The Faculty Development Programme reflected Alliance University’s commitment to advancing academic excellence and research innovation. By facilitating knowledge exchange between academia and industry, the programme supported professional development and capacity-building for faculty in emerging areas of AI and machine learning.