AI & ML

Courses

Foundations

• Data and Representation
• Foundations of Learning
• Learning as Optimization
• Linear Models: Regression
• Classification
• Generalization and Model Selection
• Learning Theory
• Probabilistic Machine Learning

AI Reasoning

• AI Foundations: Agents, Search, and Decisions
• Knowledge Representation, Reasoning, and Planning
• Probabilistic Graphical Models and Inference
• Causal Inference

Classical ML

• Classical Machine Learning
• Unsupervised Learning

Deep Learning

• Neural Networks
• Sequence Modeling
• Attention
• Representation and Embeddings
• Transformers

Generative Models

• Generative Models

Language

• Fine-Tuning and Adaptation
• Language Modeling and LLMs
• Natural Language Processing
• Retrieval and Grounding

Perception

• Computer Vision
• Multimodal Learning
• Speech and Audio

Decision Making

• AI Agents
• Reinforcement Learning

Structured Data

• Graph Machine Learning
• Time Series and Forecasting
• Recommender Systems

Evaluation & Trust

• Evaluation
• Interpretability
• Responsible and Reliable ML
• Security and Privacy

Systems

• Production AI Systems