ATAL Online FDP on Energy-Efficient LLM 2026 and AICTE, Online (Jan 19, 2026)

The ATAL Online FDP on Energy-Efficient LLM 2026 offers a premier opportunity for educators and researchers to master the complexities of Large Language Model (LLM) deployment. As artificial intelligence continues to reshape the technological landscape, understanding how to deploy these models efficiently on Edge and Cloud environments is essential. Specifically, this six-day programme bridges the gap between theoretical AI concepts and sustainable, real-world applications, ensuring participants remain at the forefront of advanced computing.

Program Highlights

Feature	Details
Program Title	Energy-Efficient LLM Model Deployment on Edge and Cloud
FDP Thrust Area	Advanced Computing (Supercomputing, AI and Data Science)
Organizing Body	AICTE Training And Learning (ATAL) Academy
Dates & Duration	January 19, 2026 – January 24, 2026 (6 Days)
Mode of Delivery	Online
Daily Schedule	Evening Sessions (6:00 PM – 9:00 PM approx.)

Program Overview

The primary objective of this Faculty Development Programme is to equip participants with the skills necessary to deploy LLMs without consuming excessive computational resources. Furthermore, the curriculum focuses on “Low-Carbon AI,” addressing the environmental impact of large-scale model training and inference. By exploring both Edge and Cloud infrastructures, the program provides a holistic view of modern AI deployment strategies. Consequently, attendees will gain a competitive edge in teaching and researching sustainable AI technologies.

The target audience includes faculty members from AICTE-approved institutions, research scholars, and PG students specializing in Computer Science, Information Technology, and related engineering disciplines.

Eligibility Criteria

Participants must meet the following criteria to be eligible for the ATAL Online FDP:

• Faculty members from any AICTE-recognized institution.
• Research scholars and Ph.D. candidates pursuing work in AI, Data Science, or Advanced Computing.
• Postgraduate students interested in specialized AI deployment.
• Industry professionals (subject to availability and specific ATAL guidelines).

Curriculum & Topics Covered

The program is structured into thirteen intensive sessions covering the following key modules:

• Introduction to Efficient Models: Basics of deployment on Edge and Cloud platforms.
• Fine-tuning for Efficiency: Deep dive into LoRA, QLORA, and Low-Carbon AI strategies.
• Sustainable Development: Addressing UN Sustainable Goals through AI-driven environmental inventions.
• Hardware and SoC Design: How pioneering SoC designs support data centers and beyond.
• LLM Powered Agents: Moving from idea to deployment within a one-hour timeframe.
• Deep Learning in Agriculture: Using sustainability models for modern Indian agriculture.
• Technical Deep Dives: Exploring if LLMs are the definitive gateway to Artificial General Intelligence (AGI).
• Real-World Applications: Building production-ready applications from GPT models.
• Medical & Geospatial AI: Utilizing Deep Belief Networks for medical apps and Deep Learning for flood/landslide susceptibility.
• Agentic Workflows: Introduction to AI agents and automated research acceleration.

Resource Persons

The FDP features an elite panel of experts from academia and industry:

• Dr. B Surendiran: Associate Professor, Dept of CSE, NIT Puducherry.
• Shinoj Cheruvathoor: EMEA Head of Discipline, Wood, Scotland.
• Ratheesh Thekke Veetill: Director, Analog Devices, Bengaluru.
• Dr. SunilKumar N: Professor and HOD-Civil, College of Engineering, Kuttanad.
• Dr. P Revathy: Associate Professor, Dept of ISE, Jain University.
• Dr. Manu M.R: Faculty in Computer Science, Ministry of Education, UAE.
• Gopalakrishnan G: AI/ML Manager, Turing, Bengaluru.
• Athira M: Docker Vision, Kochi.
• Dr. Manu Madhavan: Assistant Professor, IIIT Kottayam.
• Pradeep T: Senior Data Scientist, IBM Bengaluru.

Learning Outcomes

Upon successful completion of this FDP, participants will be able to:

• Implement fine-tuning techniques like LoRA and QLORA to reduce the carbon footprint of AI.
• Design and deploy LLM-powered agents for academic and research acceleration.
• Evaluate the performance of AI models on various Edge and Cloud hardware.
• Apply deep learning models to specialized sectors such as Geospatial mapping and Medical diagnostics.
• Understand the hardware-software co-design required for modern data centers.

Certification & Assessment

To receive the certificate issued by the ATAL Academy, participants must fulfill the following requirements:

• Attendance: A minimum of 80% attendance is mandatory for all online sessions.
• Assessment: Participants must clear the Online Test held on the final day.
• Feedback: Submission of the performance feedback form is required after the valedictory session.

Registration Details

Requirement	Information
Registration Portal	click here
Start Date	January 19, 2026
End Date	January 24, 2026
Registration Fee	As per ATAL Academy Norms (Usually Nil for faculty)
Selection Criteria	First-come, first-served / Subject to Coordinator approval
Schedule Link	Download
Brochure Link	Download

Contact Information

For any queries regarding the schedule or technical requirements, please reach out to the organizing team:

• Coordinator: Dr. B Surendiran / Imthiyas M.P (Vice Principal, St. Thomas College of Engg)
• Organization: AICTE ATAL / St. Thomas College of Engineering, Kottayam
• Official Website: www.aicte-india.org

Frequently Asked Questions (FAQs)

How do I apply for the ATAL Online FDP on Energy-Efficient LLM 2026?
You must register through the official AICTE ATAL Academy portal by selecting this specific FDP under the “Workshops” tab.

Is there any registration fee for this programme?
Typically, ATAL FDPs are free of charge for faculty members from AICTE-approved institutions; however, you should verify status on the portal.

What are the system requirements for the online sessions?
Participants need a stable internet connection and a laptop/PC capable of running browser-based AI tools and meeting platforms.

Will I get a certificate of participation?
Yes, a digital certificate will be issued to participants who maintain 80% attendance and pass the final online assessment.

Can research scholars attend this FDP?
Yes, research scholars and PG students are encouraged to apply, provided they meet the eligibility criteria defined by the host institution.