AI - Robotics lab
GPU workstation
Vision kit
NLP toolkit
Robotics kit
The AI Lab equips students in grades 9-12 with hands-on data literacy, machine learning, computer vision and natural-language processing skills through guided workstations, curated datasets and a structured learn-to-deploy progression all mapped to PM SHRI and NEP 2020 experiential-learning requirements.
Equipment overview
Three modules covering the full AI skillset
Fundamentals workbench
Computing essentials
Desktop workstations (10), GPU accelerator cards (5), UPS backup, networked storage
Sensor & vision kit
USB cameras (10), microphone arrays (5), depth sensors (2), edge-AI boards (10)
Robotics interface kit
Servo motors, motor drivers, microcontrollers, sensor modules for embodied-AI projects
Craft & data-collection tools
Labelling tablets, whiteboards, sticky-note kits for annotation exercises
Model training & deployment stations
GPU training station
High-performance workstation with GPU acceleration and pre-loaded ML frameworks for local model training.
Data annotation station
Labelling software licences, calibrated monitors and shared dataset storage.
Edge deployment bench
Edge-AI boards, camera modules and sensor kits for on-device inference testing.
Voice & NLP station
Microphone array, speaker set and a language-model sandbox for conversational-AI projects.
Data, machine learning & AI -A learning progression
Data literacy fundamentals
Spreadsheets, data cleaning, and basic statistics.
Programming for AI
Python fundamentals with libraries for data handling and visualization.
Classical machine learning
Regression, classification and clustering on real datasets.
Computer vision projects
Image classification and object detection using camera input.
Natural language processing
Text classification, sentiment analysis, and chatbots.
Neural networks & deep learning
Building and training simple neural networks.
Responsible AI & deployment
Bias awareness, model evaluation, and deploying a model to a device or app.
Training roadmap
How the curriculum progresses over the school year
1
Months 1 - 3
AI fundamentals
2
Months 3 - 6
Applied machine learning
3
Months 6+
Advanced AI systems
Equipment packages
Click any package for the full item list
PACKAGE 1
Programming fundamentals
Essential software tools for getting started with AI programming.
8 items
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PACKAGE 1
Basic hand tools
Essential hand tools for mechanical work and prototyping.
8 items
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PACKAGE 1
Basic hand tools
Essential hand tools for mechanical work and prototyping.
8 items
View Details
Request Quote
PACKAGE 1
Basic hand tools
Essential hand tools for mechanical work and prototyping.
8 items
View Details
Request Quote
Key learnings
Data literacy
Cleaning, visualization, stats
Programming for AI
Python & ML libraries
Machine learning
Regression to clustering
Computer vision
Detection & classification
NLP & conversational AI
Text to chatbots
Responsible deployment
Bias, evaluation, ethics
Why schools should build it
Fulfils NEP 2020’s experiential and future-skills learning mandate directly
Builds real data and model-building skills, not just theory
Covers the fastest-growing skillset across every technical career path
Prepares students for AI olympiads, innovation challenges, and STEM careers
Frequently Asked Questions
What is an AI Lab?
A dedicated, equipped space where students work with real data, train and evaluate machine learning models, and deploy them to vision, voice or robotics applications.
Who funds and monitors the lab?
Setup is funded through the school’s grant allocation and procured via GeM; usage and outcomes are tracked by the nominated in-charge teacher each term.
What is the minimum space and infrastructure required?
A dedicated room of 800–1000 sq ft with stable power points, high-speed internet and workstation seating for at least one class section.
Is it aligned with PM SHRI and NEP norms?
Yes — the equipment list, curriculum progression and space guidelines are mapped directly to PM SHRI infrastructure norms and NEP 2020’s experiential and future-skills learning mandate.
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