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A Six-Day Online ISTE-BNY Knowledge Enhancement Programme (FDP) on "Applied AI using Large Language Models for Education and Industry" was successfully conducted by the Department of Computer Science and Engineering, Vishnu Institute of Technology (Autonomous), Bhimavaram, from April 20 to April 25, 2026. The programme was sponsored by ISTE-BNY, convened by Dr. R. Srinivasa Raju, HoD-CSE, and coordinated by Dr. B. Sridevi, Associate Professor, CSE.
The FDP received an overwhelming response with more than 300 registrations from across India, out of which 50 participants were shortlisted based on the prescribed guidelines. Over the six days, a total of 18 sessions were conducted covering important topics such as applied AI using large language models, working principles and architecture of LLMs, prompt engineering, AI for teaching and content creation, AI for assessment and evaluation, AI for literature review and research writing, LLM-based applications, APIs and frameworks, real-world industry applications, hands-on application development, and responsible AI practices.
The sessions were delivered by eminent resource persons from premier institutions and industry, including Prof. M. H. M. Krishna Prasad (JNTUK), Dr. Sriparna Saha (IIT Patna), Dr. K. Hima Bindu (NIT Andhra Pradesh), Dr. Radhika Mamidi (IIIT Hyderabad), Dr. Sowmiya Rani, Dr. Prasad Maddula (SVECW), Mr. Prakash Hegade and Ms. V. Meenakshi (Annam.AI, IIT Ropar), Mr. Sai Chavali (LinkedIn), Mr. Bharat Kumar Bolla (Novartis), Mr. S. Mahaboob Hussain, Mrs. U. Padma Jyothi (VITB), and Mr. Ram Prudhvi Teja.
The programme witnessed active participation from faculty members, with a strong emphasis on interactive and hands-on learning. The valedictory session was graced by Prof. G. Ranga Janardhana, Chairman, ISTE AP, and Dr. T. S. S. Balaji, National Executive Member, ISTE-AP. The programme also received continuous support from Prof. Vijay D. Vaidya, ISTE-BNY Coordinator. Overall, the FDP was successfully completed with positive feedback from participants, highlighting its relevance and usefulness in enhancing faculty knowledge and skills in applying AI and LLMs in education and research.
Institute / Department Level Events & Achievements
