UG – Artificial Intelligence
Innovating the ecosystem with automated systems, cognitive machines, and smart engineering tech.
What Students Learn
A specialization track emphasizing algorithmic reasoning, deep synthesis paradigms, knowledge matrices, and industrial automation execution blueprints.
What Do Students Learn?
- Fundamentals of AI & Expert Systems
- Machine Learning & Data Modeling
- Neural Networks & Deep Learning
- Natural Language Processing
- Computer Vision & Image Processing
- Python and R Programming Foundations
- Big Data & Knowledge Representation
- AI Autonomous Project Development
Skills Developed
- AI-based Complex Problem Solving
- Data Analytics & Multi-array Visualization
- Advanced Algorithmic Thinking Patterns
- Research Methodology Loops
- Innovation & Structural Design Thinking
- Real-Time Edge AI Applications
Career Tracks
AI Researcher Scientist
Machine Learning Infrastructure Engineer
Data Scientist Lead
AI Product Matrix Designer
Healthcare/Finance AI Developer
R&D Robotics Automation Specialist
Course Matrix
Duration
4 Years undergraduate track
Eligibility
10+2 passing metrics under formal engineering boards
ABOUT ARTIFICIAL INTELLIGENCE
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