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🎓 Admissions Opened 2026

UG CSE – Artificial Intelligence & Machine Learning

Empowering computational horizons with continuous learning pipelines and adaptive smart networks.[cite: 6]

Course Track Overview

This program bridges structural computer science frameworks with predictive learning engines, deploying next-gen neural topologies across production systems.[cite: 6]

What Students Learn

  • Machine Learning Algorithms[cite: 6]
  • Deep Learning & Neural Networks[cite: 6]
  • Natural Language Processing Matrices[cite: 6]
  • Computer Vision Paradigms[cite: 6]
  • Python and R for AI System Architecture[cite: 6]
  • Data Structures & Algorithmic Logic[cite: 6]
  • Big Data Arrays and Warehouse Analytics[cite: 6]
  • Model Deployment Loops & MLOps Pipelines[cite: 6]

Academic Regulations

Active Framework

R23 Regulations

Comprehensive course layout structural matrix, credit allocation limits, assessment frameworks, and dynamic engineering evaluation metrics for ongoing batches.

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Upcoming Framework

R26 Regulations

Next-generation curriculum optimization structural maps introducing advanced laboratory arrays, industry-aligned tech matrices, and updated parallel research loops.

Download R26 Regulation

Skills Developed

AI & ML Lab Core
  • Advanced Structural Problem Solving[cite: 6]
  • Programming Proficiency Matrices[cite: 6]
  • Model Building, Architecture & Tuning Loops[cite: 6]
  • Data Analysis & Micro-visualization Schemes[cite: 6]
  • Critical System Thinking Paradigms[cite: 6]
  • Research-Driven Product Innovation[cite: 6]

Career Matrices

AI Infrastructure Engineer[cite: 6]
Machine Learning System Developer[cite: 6]
Enterprise Data Scientist[cite: 6]
Predictive Research Analyst[cite: 6]
Robotics Automation Engineer[cite: 6]
AI Strategic Product Manager[cite: 6]

Academic Outlines

Duration

4 Years Professional Undergraduate Track[cite: 6]

Eligibility

12th Standard Pass with STEM Engineering Credentials[cite: 6]

ABOUT AI & ML LAB ENVIRONMENT