| Attribute | Detail |
|---|---|
| Course Duration | 3 Years |
| Course Level | Undergraduate |
| Course Tuition Fees | INR 1,20,000 (Approx.) |
| Mode of Study | Full Time |
| Institute Type | Private |
| Semester | Subjects |
|---|---|
| Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English for Communication |
| Semester 2 | Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning, Soft Skills |
| Semester 3 | Operating Systems, Computer Networks, Advanced Machine Learning, Elective I (e.g., Natural Language Processing) |
| Semester 4 | Web Technologies, Deep Learning, Elective II (e.g., Robotics), Project Work I |
| Semester 5 | Cloud Computing, Big Data Analytics, Elective III (e.g., Computer Vision), Project Work II |
| Semester 6 | Industry Internship, Capstone Project, Elective IV (e.g., Reinforcement Learning) |
| Module | Topics |
|---|---|
| Introduction to AI & ML | History of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning, Applications of AI & ML |
| Python for AI & ML | Python Basics, Libraries (NumPy, Pandas, Matplotlib), Data Handling |
| Statistics for ML | Descriptive Statistics, Inferential Statistics, Probability, Distributions, Hypothesis Testing |
| Data Preprocessing | Data Cleaning, Data Transformation, Feature Engineering, Handling Missing Values |
| Machine Learning Algorithms | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Algorithms (Linear Regression, Logistic Regression, Decision Trees, SVM, KNN, Clustering, Neural Networks) |
| Deep Learning | Introduction to Neural Networks, CNNs, RNNs, TensorFlow and Keras |
| Natural Language Processing (NLP) | Text Processing, Sentiment Analysis, Chatbots, NLP Libraries |
| AI & ML Projects | Project Lifecycle, Datasets, Model Selection, Training and Testing, Deployment |
