Highlight | Details |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Rs [Insert Fees Here] |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Course Titles |
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Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence |
Semester 2 | Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning |
Semester 3 | Advanced Programming, Linear Algebra and Statistics for Machine Learning, Deep Learning Fundamentals |
Semester 4 | Machine Learning Models, Natural Language Processing, Computer Vision |
Semester 5 | Advanced Machine Learning, Reinforcement Learning, Project Work I |
Semester 6 | Industry Internship, Emerging Trends in AI and ML, Project Work II |
Module | Important Topics |
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Introduction to AI & ML | History of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning |
Programming for AI & ML | Python Programming, Libraries (NumPy, Pandas), Data Visualization (Matplotlib, Seaborn) |
Data Structures & Algorithms | Arrays, Stacks, Queues, Linked Lists, Trees, Graphs, Sorting and Searching Algorithms |
Machine Learning Algorithms | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks |
Deep Learning | Introduction to Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks |
Natural Language Processing | Text Processing, Sentiment Analysis, Chatbots |
AI & ML Projects | Project Design, Implementation, and Evaluation |