ATAL FDP

FDP Title: Energy-Efficient LLM Model Deployment on Edge and Cloud
Start Date: 19.01.2026 (Monday) at 6:00 P.M.
End Date: 24.01.2026 (Saturday) at 8:00 P.M.

The Faculty Development Programme (FDP) is focused on "Energy-Efficient LLM Model Deployment on Edge and Cloud". This topic falls under the thrust area of Advanced Computing, which includes Supercomputing, AI, and Data Science. The programme covers various aspects related to efficient deployment of Large Language Models (LLMs)

The Faculty Development Programme (FDP) is focused on "Energy-Efficient LLM Model Deployment on Edge and Cloud". This topic falls under the thrust area of Advanced Computing, which includes Supercomputing, AI, and Data Science. The programme covers various aspects related to efficient deployment of Large Language Models (LLMs), including

Introduction to efficient models and deployment on Edge and CloudIntroduction to AI Agents and Agentic workflowLLM use cases for advanced teaching and research acceleration.How ‘Analog Devices’ is pioneering SoC designs for Data centres and beyondHolistic Development through Addressing Sustainable Goals at the Root- Certain Environmental Inventions using AI systems.Sustainability in agriculture using deep learning modelsBuilding real-world LLM applications