The Faculty Development Programme (FDP) on Deep Learning and Foundation Models for Vision, Language, Multimodal, and Quantum AI is a cutting-edge initiative jointly organized by IIITDM Kancheepuram, Chennai, and the Electronics and ICT Academy at IIITDM Jabalpur. This programme is designed to equip participants with advanced knowledge and practical skills in the rapidly evolving fields of artificial intelligence and quantum computing.
About the Organizing Institutions
IIITDM Kancheepuram
Established in 2007, IIITDM Kancheepuram is a premier institute located in Tamil Nadu, specializing in IT, Computer Science, Electronics, and design-focused manufacturing. Recognized as an Institute of National Importance, it integrates design thinking with technical innovation, supported by modern infrastructure and a strong research focus. The institute collaborates extensively with industry and academia, benefiting from its proximity to Chennai, India’s tech hub.
Electronics and ICT Academy at IIITDM Jabalpur
The Electronics and ICT Academy at PDPM IIITDM Jabalpur, established by the Ministry of Electronics and Information Technology (MeitY), Government of India, aims to provide scalable training programmes in niche areas of Electronics and ICT. The academy focuses on capacity building through training, internships, research, and consultancy programmes, offering customized academic programmes for students, corporate sectors, and researchers.
Programme Overview
This FDP focuses on advanced techniques in AI, covering deep learning for computer vision, natural language processing, and multimodal applications. It also explores the integration of quantum computing with AI, equipping participants with the latest tools and knowledge to drive research and innovation in these cutting-edge fields.
Who Can Attend?
- Faculty from colleges, universities, and technical and professional institutes
- Students and fresh graduates
- Researchers and industry personnel working in allied disciplines
Programme Features
- Covers deep learning from CNNs and RNNs to transformers, LLMs, multimodal AI, and quantum machine learning
- Balanced sessions with practical implementation for every concept
- Hands-on experience with Python, PyTorch/TensorFlow, OpenCV, Hugging Face, and Qiskit/PennyLane
- Develop a strong understanding of optimization techniques and fine-tuning strategies
- Implement projects in computer vision, NLP, generative AI, and multimodal systems
Course Contents
- Foundations of Deep Learning
- Modern CNN Architectures and Efficient Vision Models
- Vision Transformers and Self-Supervised Learning
- Transformer Architecture and Contextual Language Models
- Large Language Models and Prompt Engineering
- Multimodal Learning and Vision-Language Models
- Generative Models Across Modalities
- Few-Shot and Meta Learning
- Explainable, Robust, Responsible AI, Quantum AI
- Hands-On Sessions: Basics of Deep Learning, Training and Evaluating a Baseline Deep Learning Model, Transfer Learning for Image Classification, Vision Transformer Implementation, Fine-Tuning Transformer Models, Prompt-Based NLP Tasks, Vision-Language Model Applications, Generative Model Implementation, Self-Supervised Learning Experiment
Important Dates and Registration
The FDP will be held from 8th to 13th June 2026 in physical mode. The last date for online registration is 25th May 2026. Interested participants can register through the following link: Registration Link. The registration fee is 1000 INR.
Contact Information
jagadeeshk@iiitdm.ac.in
drnisanthkartheek@iiitdm.ac.in
ranjeet.kr@iiitdmj.ac.in
📠 Phone Number
7989166364
Contact Details
Dr. Jagadeesh Kakarla
Assistant Professor
Dept of CSE, IIITDM Kancheepuram
Email : jagadeeshk@iiitdm.ac.in
Mobile no: 7989166364
Conclusion
The Faculty Development Programme on Deep Learning and Foundation Models for Vision, Language, Multimodal, and Quantum AI offers a unique opportunity for participants to delve into the latest advancements in AI and quantum computing. By attending this programme, participants will gain valuable insights and hands-on experience, empowering them to contribute to research and innovation in these transformative fields.
Official Source / Reference
For more details, please refer to the official notification: View Official Notification







