| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 3 years | Undergraduate | INR 30,000 per year | Full-time | Public |
| Module | Topics |
|---|---|
| Introduction to AI and ML | History of AI, Foundations of Machine Learning, Difference between AI, ML, and Deep Learning |
| Data Preprocessing | Data Cleaning, Data Integration, Data Transformation, Data Reduction |
| Supervised Learning | Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines |
| Unsupervised Learning | K-means Clustering, Hierarchical Clustering, Principal Component Analysis |
| Neural Networks and Deep Learning | Perceptrons, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks |
| Reinforcement Learning | Markov Decision Processes, Q-learning, Policy Gradient Methods |
| Natural Language Processing | Tokenization, Stemming, Lemmatization, Word Embeddings |
| AI and ML Tools and Libraries | TensorFlow, PyTorch, Scikit-learn, Keras |
