Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by Year | Full-time | Private |
Year 1 | Year 2 | Year 3 |
---|---|---|
Introduction to Programming Mathematics for Computer Science Introduction to Artificial Intelligence Data Structures and Algorithms Computer Systems and Organization | Object-Oriented Programming Database Management Systems Operating Systems Principles of Machine Learning Statistics for Data Science | Advanced Machine Learning Deep Learning Natural Language Processing Computer Vision Capstone Project in AL-ML |
Module | Topics |
---|---|
Introduction to AI & ML | History of AI, Foundations of AI, Applications of AI & ML |
Programming for AI & ML | Python Programming, Libraries for AI & ML (e.g., NumPy, Pandas, Matplotlib) |
Mathematics for AI & ML | Linear Algebra, Calculus, Probability & Statistics |
Machine Learning Fundamentals | Supervised Learning, Unsupervised Learning, Reinforcement Learning |
Deep Learning | Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks |
Natural Language Processing | Text Processing, Sentiment Analysis, Language Models |
Computer Vision | Image Processing, Object Detection, Image Classification |
AI & ML Projects | Project Design, Implementation, and Evaluation |