Deep Learning
- Neural network fundamentals
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs/LSTMs)
- Transformer architectures
- Generative Adversarial Networks (GANs)
- Transfer learning techniques
AI & Machine Learning Lab
Advanced artificial intelligence and machine learning research and training facility for the next generation of AI engineers
NSDC Aligned
Industry Ready
GPU Accelerated
Lab Overview
Our AI & Machine Learning Lab is a state-of-the-art facility designed to provide comprehensive training in artificial intelligence, machine learning, and data science. The lab features high-performance computing systems and cutting-edge AI frameworks.
This laboratory prepares students and researchers for careers in the rapidly evolving AI industry. With hands-on experience in deep learning, computer vision, natural language processing, and reinforcement learning, graduates are ready to tackle real-world AI challenges.
Key Features
- High-performance GPU clusters for deep learning
- Industry-standard AI frameworks and libraries
- Real-world datasets and challenge problems
- Cloud-based AI development environments
- Integration with popular AI platforms
- Industry mentorship and collaboration
25-30
Student Capacity
3-4
Weeks Setup
4x
GPU Systems
15+
AI Frameworks
Learning Modules
Comprehensive curriculum covering all aspects of artificial intelligence and machine learning
Computer Vision
- Image processing fundamentals
- Object detection and recognition
- Semantic segmentation
- Face recognition systems
- Medical image analysis
- Video analytics and tracking
Natural Language Processing
- Text preprocessing and tokenization
- Sentiment analysis and classification
- Named entity recognition
- Language translation systems
- Chatbot development
- Large language models (LLMs)
Machine Learning Algorithms
- Supervised learning methods
- Unsupervised learning techniques
- Ensemble methods (Random Forest, XGBoost)
- Support Vector Machines
- Clustering algorithms
- Reinforcement learning
Data Science & Analytics
- Data collection and preprocessing
- Exploratory data analysis
- Feature engineering
- Statistical modeling
- Data visualization techniques
- Big data processing
AI Deployment & MLOps
- Model deployment strategies
- Containerization (Docker/Kubernetes)
- Model monitoring and maintenance
- A/B testing for AI models
- Edge AI deployment
- AI model governance
Laboratory Equipment
High-performance computing systems and AI development tools
Computing Infrastructure
GPU Workstations (RTX 4090/3090)
AI Training Server with 4x GPUs
High-memory Development Nodes
High-speed Storage Systems
AI Frameworks & Software
TensorFlow & PyTorch
Scikit-learn & XGBoost
OpenNMT & Hugging Face
OpenCV & Pillow
Development Tools
Docker & Kubernetes
Jupyter Notebooks & VS Code
MLflow & Weights & Biases
Matplotlib & Seaborn
Data & Datasets
Curated Datasets Library
Image & Video Collections
Text & NLP Corpora
Real-world Industry Data
Technical Specifications
Hardware Requirements
- GPU: NVIDIA RTX 4090/3090 (minimum 24GB VRAM)
- CPU: Intel i9/AMD Ryzen 9 or equivalent
- RAM: 64GB minimum, 128GB recommended
- Storage: 2TB NVMe SSD + 4TB HDD
Server Infrastructure
- 4x GPU training server with NVLink
- Network: 10Gbps Ethernet
- Backup: Automated daily snapshots
- Redundancy: RAID 6 configuration
Software Stack
- OS: Ubuntu 22.04 LTS / CentOS 8
- Python 3.10+ with conda/venv
- CUDA 12.0+ and cuDNN 8.0+
- Docker & Kubernetes support
Cloud Integration
- AWS/GCP/Azure compatibility
- JupyterHub for collaborative work
- MLflow for experiment tracking
- Auto-scaling capabilities
Student Projects & Research
Real-world projects that students work on in the lab
Computer Vision Projects
Automated Quality Inspection
AI system for detecting defects in manufacturing products using computer vision.
Medical Image Analysis
Deep learning models for X-ray and MRI analysis for disease detection.
Traffic Management System
Real-time vehicle detection and traffic flow optimization using CCTV feeds.
NLP Projects
Chatbot Development
Intelligent customer service chatbot with natural conversation capabilities.
Sentiment Analysis
Social media sentiment monitoring for brand reputation management.
Document Classification
Automated document sorting and categorization using NLP techniques.
Machine Learning Projects
Predictive Maintenance
IoT sensor data analysis for predicting equipment failures.
Fraud Detection
Real-time transaction monitoring system using ensemble learning.
Recommendation Systems
Personalized content recommendation engine using collaborative filtering.
Career Opportunities
Prepare students for high-demand AI and ML careers
Machine Learning Engineer
Design and deploy machine learning models for production environments and real-time applications.
₹6-18 Lakhs/year
Computer Vision Engineer
Develop AI systems for image and video analysis, object detection, and visual recognition.
₹7-20 Lakhs/year
NLP Engineer
Build language understanding systems, chatbots, and text analysis applications.
₹6-16 Lakhs/year
Data Scientist
Analyze complex datasets, build predictive models, and derive actionable business insights.
₹5-15 Lakhs/year
AI Research Scientist
Conduct advanced research in artificial intelligence and publish findings in top conferences.
₹8-25 Lakhs/year
MLOps Engineer
Specialize in deploying, monitoring, and maintaining machine learning systems in production.
₹7-18 Lakhs/year
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