Degrees & Programs
Artificial Intelligence
ML, Deep Learning, Computer Vision, NLP, Robotics and AI Ethics. Python, TensorFlow, PyTorch.
Data Science
Data analysis, statistics, ML, predictive modelling and visualization. Python, SQL.
Core Coursework
Machine Learning
Supervised/unsupervised, model evaluation, ensemble methods, XGBoost, scikit-learn.
Deep Learning
Neural networks, CNNs, RNNs, transformers, transfer learning — PyTorch & TensorFlow.
NLP
Text processing, embeddings, BERT, GPT, sequence models, language generation.
Computer Vision
Image classification, object detection, segmentation, OpenCV, YOLO.
Data Engineering
Data pipelines, ETL, SQL, NoSQL, Apache Kafka, data warehousing.
Statistical Analysis
Probability theory, hypothesis testing, regression analysis, time series.
Robotics & AI
Autonomous systems, reinforcement learning, sensor fusion, motion planning.
AI Ethics
Fairness, accountability, transparency, bias detection in AI systems.
MLOps
Model deployment, monitoring, Docker, CI/CD, MLflow, FastAPI.