Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Information not available |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Course Name | Subjects |
---|---|---|
Semester 1 | Subject 1, Subject 2, Subject 3 | |
Semester 2 | Subject 4, Subject 5, Subject 6 | |
Semester 3 | Subject 7, Subject 8, Subject 9 | |
Semester 4 | Subject 10, Subject 11, Subject 12 |
Core Topics |
---|
Introduction to Programming |
Data Structures and Algorithms |
Mathematics for Machine Learning |
Statistics and Probability |
Introduction to Artificial Intelligence |
Machine Learning Fundamentals |
Deep Learning |
Natural Language Processing |
Computer Vision |
Reinforcement Learning |
Big Data Technologies |
Cloud Computing for AI |
AI Ethics and Law |
Capstone Project |