Course Duration | 3 Years |
---|---|
Course Level | Undergraduate |
Course Tuition Fees | INR 1.5 Lakhs (Approx.) |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Course Name | Subjects |
---|---|---|
1 | Engineering Basics | Mathematics, Physics, Chemistry, English |
2 | Advanced Engineering | Advanced Mathematics, Engineering Drawing, Programming Fundamentals |
3 | Core Subject Introduction | Core Subject 1, Core Subject 2, Elective 1 |
4 | Core Subject Deep Dive | Core Subject 3, Core Subject 4, Elective 2 |
5 | Specialization | Specialization Subject 1, Specialization Subject 2, Lab Work |
6 | Advanced Specialization | Advanced Specialization Subject 1, Project Work, Elective 3 |
Module | Important Topics |
---|---|
Introduction to AI & ML | History of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning |
Python for AI & ML | Python Basics, Libraries for AI & ML (NumPy, Pandas, Matplotlib), Data Manipulation |
Mathematics for AI & ML | Linear Algebra, Calculus, Probability and Statistics |
Machine Learning Algorithms | Supervised Learning, Unsupervised Learning, Reinforcement Learning |
Deep Learning | Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks |
Natural Language Processing (NLP) | Text Processing, Sentiment Analysis, Language Models |
AI & ML Projects | Project Lifecycle, Datasets, Model Evaluation and Deployment |