AI Augmented Faculty Transformation Lab

If AI can complete your assessment…

what exactly are you evaluating?

Redesigning Teaching, Assessment and Research for the AI Era.

AI is already in your classroom. The question is whether your current approach still works and what to build instead.

Early bird Rs. 3,500 offer closes May 31. Standard fee Rs. 5,000.

14 WeeksFully OnlineCohort 2 · July 5Application-Based Selection
Download Program Breakdown

Most faculty are fighting the wrong battle.

The shift that changes everything.

What most faculty are doing

Trying to control AI

Trying to detect AI

Trying to prevent AI entirely

Redesigning nothing - hoping it passes

That approach will not hold.

What this program builds

Design learning that works even when AI is used

Build assessments that require genuine thinking

Use AI as a tool - not a threat

Leave with four real outputs - not a certificate

This program is built around that shift.

What this program is

This is not:

A tools workshop

A one-time training

A generic certification

A structured 14-week engagement where you:

Work on your own course

Redesign your own assessments

Build real outputs

Apply what you learn immediately

Who this is for

01

Faculty who feel the gap

Current methods no longer feel sufficient. You sense the ground has shifted but aren't sure where to start.

02

Faculty who want to stay relevant

You want to work in an AI-enabled environment with confidence - not anxiety. This program builds that.

03

Faculty willing to rethink

You are ready to question how you design learning - not just what you teach, but how you evaluate it.

This is a cohort-based program. Limited seats. Application-based selection.

What you walk away with

Not theory. Your own work. Ready to use.

01

A redesigned course module

Aligned to AI-era learning - built on your own subject and context

02

A complete assessment system

A full evaluation framework that holds up when AI is in the room

03

A research proposal or draft paper

Your academic writing workflow rebuilt for the AI era

04

A working AI toolkit

Specific to your subject area and teaching context

14 weeks. One deliverable per phase. Applied from week one.

Program structure

What you will build - week by week.

How it runs

14
weeks total
1
live session/week 90 to 120 minutes
4
real deliverables

LMS-based work between sessions. Weekly outputs built on your own course. This is not about attending - it is about building.

Weeks
1 to 3

Understanding AI impact

Map where AI changes outcomes in your subject. Redesign learning outcomes for the AI era.

Weeks
4 to 6

Teaching design and content development

Rebuild how you structure content delivery. Design for active thinking, not passive reception.

Weeks
7 to 10

Assessment redesign and evaluation systems

Build evaluation systems that measure judgment - not recall that AI can replicate.

Weeks
11 to 13

Research workflows and academic writing

Rebuild academic writing and research processes with AI as a responsible collaborator.

Week
14

Capstone and implementation

Present your redesigned module, assessment system and toolkit. Cohort review. Implementation plan.

Led by

K.R.V. Raja Subramanian

K.R.V. Subramaniam

Academic leader · Institution builder · Practitioner

Academic leadership
Industry experience
Institution-building at scale

Most programs on AI are led by people who teach tools.

Very few are led by someone who has built academic systems at scale. K.R.V. Subramaniam brings a rare combination of academic leadership, industry experience, and institution-building.

Experience

Senior Vice President - Learning, USDC Projects India Pvt Ltd

Former Dean - Work Integrated Learning Programs, BITS Pilani

Founding Director - Myanmar Institute of Information Technology

Chairman - Radix Learning

Also known for

Bridging academia and industry learning models

Designing work-integrated education at scale

Bringing operational rigor into academic systems

This is not a speaker-led session. It is guided academic work - moving from structure to application to implementation. What actually works in the classroom, not what sounds good in theory.

Program fee

One cohort. Limited seats. Real outcomes.

This is a cohort-based program with application-based selection. Every participant gets meaningful engagement - not a mass event.

Redesigned course module (your subject)

Complete assessment system

Research proposal or draft paper

Working AI toolkit for your subject

Weekly live sessions with KRV Raja Subramanian

Payment link is sent immediately after you submit your application.

Program fee

Early Bird closes May 31
Rs.3,500
5,000

Save Rs. 1,500 early bird price until May 31.

14 weeks · Fully online · Cohort 2 starts July 5
Cohort-based · Application-based selection

Payment link is sent immediately after you submit your application.

Reserve your seat

in Cohort 2 starting July 5

1

Fill in the form

Takes 3 minutes. All fields are required.

2

Receive your payment link

Sent immediately after submission. Complete payment to lock in your seat.

3

Your seat is confirmed

Onboarding email arrives within 48 hours. Cohort 2 starts July 5.

Apply to the AI Augmented Faculty Transformation Lab

Early Bird closes May 31

Rs. 3,500Rs. 5,000· Cohort 2 starts July 5

Your details are only used for programme communication. No spam, ever.

In the AI era, the value of a faculty member is not what they know.

It is how they design learning.

Early bird Rs. 3,500 closes May 31 • Standard fee Rs. 5,000 from June 1.

Download Program Breakdown