B.Tech in Artificial Intelligence - Course Structure

Semester I

• 1.Problem Solving &Programming with Python
• 2.Linear Algebra
• 3.Communication Skill Lab
• 4.Introduction to Artificial Intelligence
• 5.Environmental Science

Semester II

• 1.Data Structures & Algorithms with Python
• 2.Probability & Statistics
• 3.Engineering Physics
• 4.Engineering Graphics & Design Lab
• 5.Indian Constitution

Semester III

• 1.Algorithm Analysis and Design
• 2.AI-Driven Web Application Development
• 3.Mastering Data Handling - SQL &No-SQL
• 4.Introduction to Machine Learning

Semester IV

• 1.Cloud Computing
• 2.Operating System
• 3.Theory of Computation
• 4.Data Analysis & Visualization using Python
• 5.Professional Ethics 6.Seminar

Semester V

• 1.Computer Networks
• 2.Machine Learning & AI: A Deep Dive
• 3.Software Engineering & DevOps
• 4.Optimization Techniques in Machine Learning
• 5.Robotics Lab

Semester VI

• 1.Applied Deep Learning
• 2.Soft Computing
• 3.Elective papers
• 4.Image Processing & Computer Vision
• 5.Minor Project

Semester VII

• 1.Natural Language Processing
• 2.AI Model Deployment, MLOps & Industry Applications
• 3.Professional Elective – III
• 4.Industrial Interaction
• 5.Capstone Project

Semester VIII

• 1.Major Project