Student AI Program
A 12-week cohort where students collect data, train models, and ship an end-to-end AI project on real hardware.
Learn more →We teach everyone in schools and colleges to build AI - not just use it. Real hardware. Real datasets. Real outcomes that show up in college applications and first jobs.
Who we serve
Whether you run a CBSE school, an engineering college, or a vocational institute, our programs slot into your calendar, your batch sizes, and your students' real ambitions.
Senior secondary AI integration
Computer applications & STEM
UG / PG electives & clubs
Diploma-level AI tracks
Hands-on AI fundamentals
Public-sector AI capacity
Premium AI electives
Add-on AI cohorts
Our programs
Pick the entry point that fits your school or college. Every program teaches the same core skill: how to build AI, not just use it.
A 12-week cohort where students collect data, train models, and ship an end-to-end AI project on real hardware.
Learn more →A 5-day intensive that turns existing CS / STEM teachers into confident, classroom-ready AI educators.
Learn more →Turn-key AI lab on your campus: GPU workstations, edge devices, curriculum, teacher onboarding and a year of support.
Learn more →A portable AI lab in a box - hardware, datasets, mentor access, and a workbook the student keeps after the program.
Learn more →The problem
Most students today have used a cloud-based AI tool. Very few have ever trained a model, labelled a dataset, or run inference on real hardware. That gap - between using and building - is the gap between being a consumer of the AI economy and a creator inside it.
of government schools have internet access
Source: UDISE+ Data
of teachers have digital pedagogy training
Source: India Education Report
GPU hardware in most school AI labs today
Source: Ground reality
The global race
Sources: UNESCO AI in Education Report, NEP 2020, Stanford AI Index
How we teach
Every stage is hands-on. Every stage is on real hardware. No simulators, no toy demos.
Students watch a live AI model run on real hardware - perception, classification, decision in real time.
We open the model. What is a neural network doing? What data trained it? Where does it go wrong?
Students collect data, label it, and train a model end-to-end on GPU - the same workflow industry uses.
Students ship a working AI project - deployed to an edge device, solving a problem they chose. Theirs to keep.
What students build
A sample of the projects student cohorts have built or are scoped to build - chosen for their relevance to Indian classrooms, communities, and careers.
Vision · Agriculture
Edge model that identifies leaf disease in wheat and tomato from a phone camera - trained on a student-collected dataset.
Speech · Indian Languages
A small speech model that recognizes 20 Hindi voice commands offline - runs on a sub-1W edge board.
Vision · Public Safety
An on-device model that recognizes Indian road signs from dashcam footage - first step toward driver-assist research.
Sensors · Environment
A regression model trained on local AQI sensor data, predicting next-hour pollution for a student's neighbourhood.
Vision · OCR
A two-stage model: detect plate, read characters - all running offline on a credit-card-sized edge device.
Vision · Edge
A trained object detector running at 30 FPS on edge hardware - the student's first taste of production-grade ML.
Why PaniniX Labs
We bring fifteen years of AI & security work into the classroom - and we are doing it from a Tier-2 city, on purpose.
Practitioner expertise from the field, not the textbook.
Member of the NVIDIA Partner Program, with current AI tooling.
A working AI lab you can visit and see in person, today.
Built in India, for Indian schools, colleges, and students.
Voices in the room
People who learn to adopt and adapt to AI will do better. The earlier students learn the tools, the more they can shape what comes next.
Every company will be an AI company. Software is being rewritten - and the next generation of engineers needs to know how to build it.