Train Faculty to Run AI Centres of Excellence — Not Just Teach AI.
A structured Faculty Development Program (ToT) designed to enable polytechnic faculty to deliver AI training, manage labs, and mentor real-world projects using the Applied AI CoE model.
# Applied AI CoE - Faculty Dashboard
Loading module: “Generative AI Lab Deployment”...
Why Most Faculty Training Programs Fail
- ✖Theory-heavy: Focused on slides and abstractions with no physical deployment or lab setup.
- ✖Infrastructure Blind: No integration with GPU workstations, edge devices, or cloud platforms.
- ✖Disconnected Outcomes: Training ends at certification, without impacting actual student classroom delivery.
- ✖Academic Silos: Disconnected from industry standards and real-world deployment workflows.
- ✔Deployment-First: Faculty learn by building and deploying AI models on real infra.
- ✔Hardware Integrated: Hands-on experience with Jetson, Raspberry Pi, and IndiaAI Cloud.
- ✔Sustainable Delivery: A complete pedagogy for 2-hour lab-first teaching sessions.
- ✔Industry Alignment: Direct mentorship from MyOoumph industry AI engineers.
“We built the CoE ToT differently — to bridge the gap between academic theory and industry reality.”
A Programme Shaped Around CoE Delivery
Productivity First
Before we teach them to code, we teach faculty to use GenAI to automate their own workloads—generating rubrics, lesson plans, and assessments. Buy-in is immediate because it saves them time.
The "I Don't Know" Framework
We train faculty to model uncertainty. When a student's code breaks, the instructor is taught to co-debug live using LLMs, rather than pretending to know every Python syntax error. This builds authentic authority.
Integrated with Real Infra
Faculty learn to manage GPU workstations, the IndiaAI Cloud, and Edge AI kits (Jetson, Raspberry Pi), so they end up as the technical owners of the CoE infrastructure.
From Lecturer → AI CoE Delivery Lead
AI Trainer
Deliver complex ML/GenAI concepts without heavy math, focusing on practical implementation.
Lab Facilitator
Manage APIs, Docker containers, and Edge deployments on physical GPU workstations.
Project Mentor
Guide students from problem statement to GitHub portfolio using real industry datasets.
Industry Interface
Bridge the gap between academic theory and partner company expectations for hiring.
Structured, Practical, Deployment-Focused
🧠 AI & Technical
- Python for AI
- Applied ML & Deep Learning
- RAG Systems & Vector DBs
- AI Agents & LLM Orchestration
⚙️ Tools & Deployment
- Streamlit & FastAPI
- Git & GitHub Workflows
- Hugging Face Ecosystem
- Edge AI & TinyML (Jetson/Pi)
🎓 Teaching & Delivery
- Lab-first Pedagogy
- 2-hour Session Design
- Deployment-based Evaluation
- Mentoring Student Portfolios
Train on the Actual Hardware
“We provide every participating institution with the blueprint and hands-on training to manage enterprise-grade AI infrastructure within their campus.”
The 6-Week Certification Journey
AI + Tools
GenAI for productivity, Python fundamentals, and environment setup.
ML + GenAI
Building regression/classification models and RAG applications.
Deployment + Edge
Deploying models to Streamlit and Jetson Nano/Raspberry Pi.
Teaching + Capstone
Final project deployment and mock teaching sessions.
Three-Level Certification System
Evaluation at each level, before a faculty member takes a classroom.
AI-Aware Faculty
Completed Week 1–2AI Practitioner Faculty
Completed Week 3–4CoE Delivery Certified
Completed Full ProgramWhat You Can Do After ToT
- ✓Deliver Tier 1 (Foundation) independently
- ✓Co-deliver Tier 2 (Core) with industry trainers
- ✓Run and maintain on-campus AI labs
- ✓Mentor student projects for GitHub portfolios
- ✓Deploy AI applications on IndiaAI Cloud
Who Should Apply
Polytechnic faculty (CS/IT, Electronics, Electrical, Civil, Mechanical)
Non-CS faculty looking to integrate AI in their domain
Institutions building or upgrading their Applied AI CoE
Industry + Faculty = A Sustainable CoE.
We stay on after the training. The CoE runs on a hybrid model that keeps delivery consistent and the faculty’s skills current.
MyOoumph Industry Trainers
Deliver Advanced modules (Tier 3) and conduct industry capstones.
Certified Institutional Faculty
Lead Foundation (Tier 1) and Core (Tier 2) lab-first sessions.
Joint Evaluation Framework
Final student projects are evaluated jointly by institutional faculty and industry trainers, so academic rigour and industry standards are both applied.
A growing network of educators across participating institutions.
Ready to Enable Your Faculty with Applied AI?
Join the national network of institutions leading the AI revolution. Limited batch sizes for high-touch mentorship.
Limited Institutional Slots Available for Batch 2026
Enable Your Faculty. Build Your AI Capability.
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