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AKTU Announces Master Trainer Training Program for NDLI Fermi AI Tutor
Big update for AKTU students! The university has announced a Master Trainer Training Program to make the NDLI Fermi AI Tutor more effective in teaching and learning processes.
The university has collaborated with NDLI and IIT Kharagpur to develop the NDLI Fermi AI Tutor, a teaching assistant that can help students understand complex concepts and solve problems. The Master Trainer Training Program aims to make the university's faculty and students more aware and proficient in using this AI-based tool. The program will be conducted at the university's Lucknow and Noida campuses.
The university has requested all affiliated institutions to nominate two faculty members who will be trained as Master Trainers to make the NDLI Fermi AI Tutor more effective in their institutions. The nominated faculty members will be trained to provide Faculty Development Programmes to their colleagues. The training program will be conducted at the university's Lucknow and Noida campuses.
What's Update
The university has announced the Master Trainer Training Program to make the NDLI Fermi AI Tutor more effective in teaching and learning processes. The program aims to make the university's faculty and students more aware and proficient in using this AI-based tool. The program will be conducted at the university's Lucknow and Noida campuses.
The university has requested all affiliated institutions to nominate two faculty members who will be trained as Master Trainers to make the NDLI Fermi AI Tutor more effective in their institutions. The nominated faculty members will be trained to provide Faculty Development Programmes to their colleagues.
Importance of NDLI Fermi AI Tutor
The NDLI Fermi AI Tutor is a teaching assistant that can help students understand complex concepts and solve problems. It is an AI-based tool that can make the teaching and learning process more effective. The Master Trainer Training Program aims to make the university's faculty and students more aware and proficient in using this tool.
How to Nominate Faculty Members
The university has requested all affiliated institutions to nominate two faculty members who will be trained as Master Trainers to make the NDLI Fermi AI Tutor more effective in their institutions. The nominated faculty members will be trained to provide Faculty Development Programmes to their colleagues. The institutions are required to nominate the faculty members by filling up a Google form and submitting a hard copy to the Pro-Vice Chancellor's office by 18th October 2026.
Important Dates and Details
| Date | Event |
|---|---|
| 18th October 2026 | Last date for nomination of faculty members |
| To be notified separately | Training program dates, time, and venue |
What You Need To Do
- Nominate two faculty members who will be trained as Master Trainers to make the NDLI Fermi AI Tutor more effective in your institution.
- Fill up the Google form and submit a hard copy to the Pro-Vice Chancellor's office by 18th October 2026.
- Ensure that the nominated faculty members are trained to provide Faculty Development Programmes to their colleagues.
Frequently Asked Questions
What is the purpose of the Master Trainer Training Program?
The purpose of the Master Trainer Training Program is to make the NDLI Fermi AI Tutor more effective in teaching and learning processes.
Who can be nominated as Master Trainers?
Two faculty members from each affiliated institution can be nominated as Master Trainers.
What is the deadline for nomination of faculty members?
The deadline for nomination of faculty members is 18th October 2026.
Where can I find the Google form for nomination of faculty members?
The Google form for nomination of faculty members can be found at Click here.
Quick Summary
The AKTU has announced a Master Trainer Training Program to make the NDLI Fermi AI Tutor more effective in teaching and learning processes. The program aims to make the university's faculty and students more aware and proficient in using this AI-based tool. The institutions are required to nominate two faculty members who will be trained as Master Trainers to make the NDLI Fermi AI Tutor more effective in their institutions. The nominated faculty members will be trained to provide Faculty Development Programmes to their colleagues.
Official Notice
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