AI-Native Pedagogy Leader Programme at Sardar Patel Institute of Technology, Mumbai
UpskillingFor universitiesAI-Native Pedagogy Leader Programme
Build a core of AI Pedagogy Leaders inside your institute.
In six days, equip your faculty to redesign assessments and curriculum for the AI era, establish course-level AI-use policies, and build working AI assets for their students.
- 48 contact hours on campus, over two to three weeks
- 6 days
- 48 contact hours on campus, over two to three weeks
- per faculty member, built on their own courses
- 5 artefacts
- per faculty member, built on their own courses
- an Academic Co-Pilot and a student assistant, live from Day 7
- 2 AI assets
- an Academic Co-Pilot and a student assistant, live from Day 7
- FDP eligible; outputs reportable to NAAC and NBA
- AICTE
- FDP eligible; outputs reportable to NAAC and NBA
Faculty voices
What faculty say
AI is now a mandatory part of teaching, and I am taking that back to my classroom.
- AI is now a mandatory part of teaching, and I am taking that back to my classroom. Dr. Manisha Ravindra Bansode,
- Building a bot, and using AI tools for research methodology, are the two things I am taking away. Jyoti Ramteke,
- The most useful parts for me were redesigning my projects and assignments, the curriculum integration workshop, and Google Gems. Reeta Koshy,
- I now know how to apply AI policies in the classroom, and how to create bots and agents that simplify my work. Sakina Banu Salmani,
- Building my own AI chatbot was the most useful thing I am taking away. Pranav Nerurkar,
- The Telegram bot I built, and the assignment I redesigned, are what I am taking back to my course. Dr. Sonali Dudihalli,
- Redesigning my own assessment was the most useful thing for me. Payal Shah,
- The prompt engineering concepts are what I am taking away from the programme. Aishwarya Nalawade,
- Teaching with AI is what I am taking back to my classroom, and AI pedagogy is where I want to go deeper next. Ananthalakshmi Venkatesh,
- Learning to use NotebookLM was the most useful thing for me, and redesign is where I want to go further. Rajendra Sutar,
- Automating my everyday tasks is the most useful thing I am taking away. Yogita Patil,
- Building a bot was my biggest takeaway from the five days, and research is where I want the follow-up. Reena Sonkusare,
- The chatbot is what I am taking back to use in my own course, and I am working on a website where it will help too. Priya Deshpande,
- Building my own Telegram AI bot was the day I valued most, and developing AI apps is where I want to go further. Dr. Deepak C Karia,
- Building a personalised Telegram AI bot was the most valuable part for me, and agentic AI is where I want to go deeper next. Pallavi Thakur,
- From teaching with AI through to building my own Telegram bot, the hands-on days were the most valuable part for me. Sneha Weakey,
The need
Your students already use AI. Your assessments were not designed for it.
Most faculty training stops at tool demos. Faculty learn what AI can do, then return to the same assessments, the same syllabus and no policy. That leaves an institute exposed in three ways: assessments that AI can complete, no shared position on AI use, and faculty who either over-trust or under-trust it. This programme answers all three. Six days, 48 contact hours on campus, and every session produces a working artefact for the participant’s own course: five by Day 6.
AI-use policy
Day 1. A deployable policy for your course, aligned to accreditation and classroom reality.
Redesigned assessment
Day 3. One of your own exams or assignments rebuilt for AI-era learning outcomes.
Modernised module
Day 4. One module of your syllabus mapped to AI-native practice, ready for next semester.
Academic Co-Pilot
Day 5. A faculty workspace for teaching, evaluation and course operations, built on your own content.
Student assistant
Day 5. A 24/7 class assistant in your voice, live from Day 7 on free tools.
Showcased on Day 6
No written exam. Two live showcases, scored against a shared rubric.
On the last day each faculty member demonstrates their Academic Co-Pilot on a live teaching task, then runs their student assistant against real student queries and shows how it handles scope, fallback and escalation. Peers score both against a shared rubric, and the top three are recognised in front of the cohort.
After the programme
One year of support, so the practice holds.
AI Buddy
Cross-level pairing formed on Day 2 and committed to on Day 6, so no one practises alone.
Monthly digest
Six issues across the year: curated tools, research and classroom use cases for your departments.
Workshop-in-a-Box
The materials your AI Pedagogy Leaders use to run internal faculty training at scale.
Quarterly check-ins
Four structured sessions with DeployProAI to keep the policies, assessments and assets in use.
- 1Before Day 1: a ten-minute self-assessment sets peer pairs, groups and worked examples
- 2Between days: faculty bring one syllabus and one assessment, and pilot their assistant with a class
- 3After Day 6: a personal 30/60/90-day plan and the AI Buddy cadence
Certification
AI Pedagogy Leader, co-branded with your institute.
Every participant who completes both Day 6 showcases, with at least 80% attendance, receives a digital and printed certificate of completion issued by DeployProAI, carrying the institute’s name and seal and signed by its Principal. It is shareable on LinkedIn, and the institute receives a signed register of certificates for its IQAC file.
Delivered
S.P.I.T. Mumbai, July 2026.
A Faculty Development Programme for 21 teaching staff across computer science, electronics and telecommunication, and applied sciences, mathematics and humanities. Overall 4.6 out of 5; the hands-on sessions and the five artefacts rated 4.6; 18 of 21 confident to apply it next semester.
FAQs
Frequently asked questions
Faculty who will lead AI adoption in their departments, designing and sustaining AI-native courses. Engineering and non-engineering faculty can be in the same cohort of 15 to 25. The July 2026 cohort spanned computer science, electronics and telecommunication, applied sciences, mathematics and humanities.
No, and there are no prerequisites. A ten-minute self-assessment before Day 1 places each participant, and AI Buddy pairing spans experience levels, so a mixed cohort works.
Six days and 48 contact hours, spread over two to three calendar weeks so faculty apply each session to their own courses between workshops. On campus by default, hybrid on request. A laptop and stable Wi-Fi are all that is needed.
Five artefacts built on their own course: an AI-use policy, a redesigned assessment, a modernised module, an Academic Co-Pilot and a student assistant, the last two live from Day 7. And the AI Pedagogy Leader credential, co-branded with the institute.
No written exams. Two project showcases on Day 6, each peer-evaluated against a shared rubric. The top three are recognised in front of the cohort.
None. Every build runs on free tiers, so nothing stops working when the programme ends and no software budget is needed. Faculty learn which tool fits which task and how to work within free-tier limits.
A year of support: AI Buddy pairing, six monthly digests, a Workshop-in-a-Box for internal training, and four quarterly check-ins. Faculty leave Day 6 with a personal 30/60/90-day plan.
The programme is structured to be AICTE FDP eligible. The policies, redesigned assessments, modernised modules and faculty projects are reportable in NAAC and NBA submissions, and your IQAC receives a cohort report, a gallery of the AI assets built, and the department policies, ready for its files.
Per cohort, detailed in the proposal and formalised in the MoU. The fee covers six days of on-campus facilitation and materials, the self-assessment, the certificates and cohort report, and the year of support. The institute provides the room, a projector, Wi-Fi and a laptop per participant. Fees exclude GST.
Build your institute’s first cohort of AI Pedagogy Leaders.
Share your departments and preferred weeks. We will return a day-by-day plan with department-specific examples and a proposal within three to five working days.