The Faculty of Computer Applications and Information Technology (FCAIT-PG), GLS University, successfully organized a 5-Day Faculty Development Program (FDP) on “Generative AI and Its Applications” from 2^nd February to 6^th February 2026 in online mode. The program was conducted under the patronage of Dr. Sudhir Nanavati, President, GLS University, with Dr. Harshal A. Arolkar serving as the FDP Convener and Dr. Snehal Shukla as the FDP Coordinator. The initiative aimed to equip academicians, researchers, and professionals with comprehensive insights into the rapidly evolving domain of Generative Artificial Intelligence and its transformative applications across disciplines.The FDP received an overwhelming response with 250 registrations from participants representing various regions across India.

The FDP featured an eminent panel of academicians and industry experts from reputed national and international institutions. Dr. Mayuri Mehta from SCET, Surat gave a comprehensive overview of generative AI concepts, models, and emerging trends. Ms. Rachana Chajjed from PICT, Pune elaborated on how Generative AI is shaping the future across industries and societal domains. Dr. Rohit Thanki from Wolfsburg, Germany delivered an in-depth session on the architecture, training methodologies, and case studies of Generative Adversarial Networks (GANs). The hands-on exploration of Autoencoders and Variational Autoencoders was conducted by Dr. Jagriti Saini, Founder and Owner of Eternal RESTEM. Ms. Komal Lamba from Cygnet highlighted applications, opportunities, and safeguards in Generative AI, while Dr. Ripal Ranpara from Marwadi University, Rajkot guided participants in designing generative AI applications using LangChain. Dr. Dulari Bhatt from EduNet Foundation conducted an engaging hands-on session on Prompt Engineering using ChatGPT, and Mr. Chintan Patel from IIM Ahmedabad discussed Large Language Models and their real-world applications. Parth Parekh, Strategic Cloud Engineer at Google, demonstrated Retrieval Augmented Generation (RAG) frameworks, Dr. Ramesh Joshi, Scientific Officer at IPR, addressed ethical considerations, bias mitigation strategies, and responsible AI practices.

Throughout the five days, the program successfully blended theoretical foundations with practical exposure through case studies and hands-on demonstrations. Special emphasis was placed on emerging areas such as GANs, VAEs, LLMs, RAG frameworks, prompt engineering, and ethical AI. Participants gained valuable insights into both the technological advancements and the societal responsibilities associated with generative AI systems.