FDP on Transformative Artificial Intelligence: From Deep Learning to Agentic Intelligence
Vidya equips faculty members with advanced knowledge in Artificial Intelligence, spanning from deep learning foundations to large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI systems, while bridging the gap between academic theory and industry practice.
Vidya Academy of Science and Technology organized a six-day Faculty Development Programme (FDP) titled “Transformative AI: Deep Learning to Agentic Intelligence” from 29 December 2025 – 03 January 2026 in online mode.
The programme aimed to offer in-depth insights into deep learning, natural language processing (NLP), and transformer architectures, while also giving hands-on exposure to large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI systems. Another key objective was to bridge the gap between academic knowledge and industry practices, enabling faculty to apply contemporary AI techniques effectively in research, teaching, and real-world applications
| Day 1 | Sessions |
Resource Person |
| Session 1 |
Introduction to Deep Learning Models – Neural Networks, MLP, CNN, RNN Family, Autoencoders | Dr. Deepak S, Assistant Professor, ECE, Government Engineering College, Thrissur |
| Session 2 | Introduction to NLP – Tokenization, Stopword Removal, Stemming, Lemmatization, Text Normalization, Text Classification, Text Embedding | Dr. A. Jaya, Professor & Director (CDOE), Crescent Institute of Science and Technology, Chennai |
| Day 2 | ||
| Sessions 3 & 4 | Fundamentals of Transformers – Attention Mechanism, Transformer Architecture, Pre-trained Transformer Models (BERT, GPT, RoBERTa, T5) | Dr. Deepa K, Associate Professor, SCMS School of Engineering and Technology, Kochi |
| Day 3 | ||
| Sessions 5 & 6 | Transfer Learning and Fine-Tuning, Advanced Fine-Tuning – Domain-Specific Adaptation,LoRA, QLoRA | Dr. Manu Madhavan, Assistant Professor, IIIT Kottayam |
| Day 4 | ||
| Sessions 7 & 8: | Large Language Models – LangChain, Tokenization, Vector Representation, Implementation of LLMs | Mr. Sreehari G Varma, Tech Lead (L3), R&D – GenAI & Robotics, Wipro Ltd., Bengaluru |
| Day 5 | ||
| Sessions 9 & 10 | Retrieval-Augmented Generation (RAG) – Fundamentals, Components, Variants, Multimodal RAG | Dr. Sachin Kumar S, Assistant Professor, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore |
| Day 6 | ||
| Sessions 11 & 12 | Multi-Agent and Agentic AI, Hands-on Session – Case Study and Implementation | Mr. Pradeep T, Senior Data Scientist, IBM, Bengaluru |
The FDP included sessions on neural networks, CNNs, RNNs, autoencoders, natural language processing, transformer architectures, transfer learning, fine-tuning methods, implementation of LLMs, and multi-agent AI systems, delivered by eminent resource persons from institutions such as Government Engineering College Thrissur, Crescent Institute of Science and Technology, IIIT Kottayam, Wipro Ltd., and IBM. Hands-on sessions allowed participants to apply concepts in practical scenarios, enhancing both theoretical understanding and technical skills.
The FDP was organized under the guidance of Dr. Jeeva K A (Convenor, HoD, AIML Dept), Dr. Sajay K R (HoD, CSE Dept), and Dr. Reji C Joy (HoD, MCA), with coordination by faculty members Ms. Jucy Vareed (Co-ordinator,Asst. Prof – Sr. Grade,CSE Dept), Ms. Linsa V U (Co-ordinator,Asst. Prof AIML Dept), and Ms. Revathy Jayakumar (Co-ordinator, Asst. Prof, MCA).
| The Editorial Team of News & Events joins the entire Vidya fraternity in extending heartiest appreciation to all involved on the successful conduct of the session that enhances faculty knowledge in emerging AI domains with contemporary tools and frameworks !!! |
