A professional AI lab with GPU workstations, edge AI devices, open-source ML frameworks and structured project curricula — enabling students to build, train and deploy real AI models.
| Category | Equipment / Component | Purpose |
|---|---|---|
| GPU Workstations | High-performance PCs with NVIDIA GPU (RTX series) | Model training and deep learning |
| Edge AI | NVIDIA Jetson Nano / Orin, Raspberry Pi 5 (10 units) | On-device inference and deployment |
| Vision AI | HD USB cameras, Intel RealSense depth camera | Computer vision projects |
| NLP Hardware | USB microphone array, speakers for voice AI demos | Natural language processing |
| Software Stack | Python, TensorFlow, PyTorch, Jupyter, Teachable Machine | Full ML development environment |
| Datasets | Curated local datasets (images, text, tabular) for student projects | Real data for model training |
| Networking | High-speed LAN switch for distributed compute sessions | Collaborative lab sessions |
| Display | Large 75" interactive display for demo and class sessions | AI demonstration screen |
Students learn supervised, unsupervised and reinforcement learning — training real models on real datasets using Python, TensorFlow and scikit-learn.
Object detection, image classification, face recognition and video analysis projects using cameras and NVIDIA Jetson edge hardware.
Build chatbots, sentiment analysers and voice assistants — practical NLP from data preparation through model deployment.