Program-wise AI Requirements

AI Infrastructure by Academic Program

Detailed mapping of cloud stack, datasets, tools, workflows and student outcomes for every major academic program.

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This guide covers how each academic program maps to AICTE / UGC model curricula and how our AI Cloud directly enhances learning outcomes, faculty productivity, accreditation readiness and student employability.

IaaS + PaaS

B.Tech / B.E. – AI & Machine Learning

Cloud Stack

GPU VMs, managed JupyterLab, PyTorch & TensorFlow, experiment tracking, model registries, deployment pipelines.

Key Datasets
  • ImageNet-style subsets, CIFAR-10, MNIST
  • Medical imaging, satellite imagery
  • Indian legal NLP corpora, news archives
  • Finance & IoT sensor time-series data
Pre-trained Models Available
  • CNNs, ResNet, YOLO (computer vision)
  • BERT, domain-adapted LLMs (NLP)
  • Vision Transformers (ViT)
5-Step Workflow
1
Data Ingestion
2
Preprocessing
3
Model Training
4
Evaluation
5
Capstone Deploy
Student Outcomes

Industry-ready ML engineers with real datasets, deployable capstone projects and production exposure.

PaaS

BCA / B.Sc – AI & Data Science

Cloud Stack

Browser-based notebooks, guided lab exercises, AutoML tools, SQL/NoSQL databases, data visualisation dashboards, graded assignments.

Key Datasets
  • Banking transactions, retail sales, logistics data
  • Indian government open data portals
  • Weather & demand forecasting time-series
  • Customer feedback & survey NLP datasets
Models Available
  • Regression, decision trees, random forests
  • XGBoost, clustering algorithms
  • AutoML pipelines
5-Step Workflow
1
Data Collection
2
EDA & Visualise
3
Apply ML Model
4
Evaluate
5
Project Report
Student Outcomes

Data analysts, junior data scientists, analytics-ready graduates with hands-on project experience.

IaaS + PaaS

MCA / M.Tech – Advanced AI & Data Science

Cloud Stack

Dedicated GPU quotas, container orchestration, ML CI/CD pipelines, model registries, API-based inference services.

Key Datasets
  • Large-scale text corpora & recommender datasets
  • Clickstream & distributed graph data
  • Medical and industrial datasets (anonymised)
Models Available
  • Transformers, recommendation engines
  • Graph neural networks, anomaly detection
  • Custom LLM fine-tuning pipelines
6-Step Workflow
1
Dataset Prep
2
Distributed Train
3
Experiment Track
4
Evaluation
5
Deploy API
6
Publication
Student Outcomes

MLOps engineers, AI architects, research engineers and PhD-ready graduates.

SaaS

MBA / BBA – Business Analytics & AI

Cloud Stack

No-code analytics platforms, forecasting tools, marketing/finance/HR AI simulations, Tableau and PowerBI integrations.

Key Datasets
  • Sales pipelines, CRM & marketing campaign data
  • Financial statements & HR analytics datasets
Models Available
  • Churn prediction, demand forecasting
  • Pricing optimisation, decision support systems
5-Step Workflow
1
Upload Data
2
Predictive Model
3
Dashboards
4
AI Insights
5
Strategy Simulation
Student Outcomes

Analytics-driven leadership skills, improved placement readiness in analytics and consulting roles.

SaaS

Law, Policy & Governance – AI Applications

Cloud Stack

AI-assisted legal research tools, document management, NLP processing and compliance simulation.

Key Datasets
  • Indian court judgments & regulatory texts
  • Contracts, policy documents & legislative archives
Models Available
  • Legal NLP, document summarisation
  • Classification & RAG systems
5-Step Workflow
1
Upload Documents
2
AI Analysis
3
Compliance Check
4
Learning Insights
5
Report Generation
Student Outcomes

Legal-tech readiness, policy advisory skills and AI ethics competency.

PaaS + SaaS

Agriculture, Healthcare & Life Sciences

Cloud Stack

Vision AI, predictive analytics, IoT-AI integration platforms, GPU/CPU VMs.

Key Datasets
  • Crop disease images, soil & weather data
  • Satellite imagery for agricultural monitoring
  • Anonymised healthcare records
Models Available
  • Computer vision (YOLO, ResNet)
  • Time-series forecasting, risk prediction
5-Step Workflow
1
Data Collection
2
Preprocessing
3
Model Training
4
AI Insights
5
Recommendations
Student Outcomes

Applied research projects, startup ideas, community impact in Punjab’s agriculture and healthcare ecosystem.

IaaS

PhD / Research Scholars

Cloud Stack

Dedicated compute nodes, high-memory instances, long-duration jobs, secure data enclaves and collaboration workspaces.

Key Datasets
  • Restricted research datasets (ethics-approved)
  • Large multilingual corpora & satellite imagery
  • Biomedical datasets, synthetic data generators
Models Available
  • Research-grade LLMs, diffusion models
  • Foundation models, custom architectures
6-Step Workflow
1
Dataset Prep
2
Experiment Setup
3
Execution & Logging
4
Result Analysis
5
Peer Review
6
Publication
Research Outcomes

Increased publication output, improved grant success, patent-ready innovations.

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