Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by region and scholarships | Full-time | Private |
Semester | Course Code | Course Title |
---|---|---|
1 | ALML101 | Introduction to Programming |
1 | ALML102 | Mathematics for Machine Learning |
2 | ALML201 | Data Structures and Algorithms |
2 | ALML202 | Principles of Machine Learning |
3 | ALML301 | Artificial Intelligence Fundamentals |
3 | ALML302 | Deep Learning |
4 | ALML401 | Natural Language Processing |
4 | ALML402 | Advanced Topics in AI & ML |
5 | ALML501 | Machine Learning Project |
5 | ALML502 | Internship |
6 | ALML601 | Capstone Project |
Artificial Learning (AL) Topics | Machine Learning (ML) Topics |
---|---|
Introduction to Artificial Intelligence | Supervised Learning Techniques |
Expert Systems | Unsupervised Learning Techniques |
Fuzzy Logic Systems | Neural Networks |
Genetic Algorithms | Deep Learning Fundamentals |
Natural Language Processing | Decision Trees and Random Forests |
Robotics and Perception | Support Vector Machines |
Knowledge Representation and Reasoning | Model Evaluation and Fine-Tuning |
Search Strategies and Optimization | Feature Engineering and Dimensionality Reduction |
Agents and Environments | Ensemble Learning Methods |