Foundations
Course introductions, statistical learning, and math prerequisites
Neural Networks
Dense networks, CNNs, and RNNs
Computer Vision
Object detection, probabilistic reasoning, and tracking
NLP
Tokenization, embeddings, language models, and transformers
Reasoning
Propositional logic, knowledge bases, and theorem proving
Planning & RL
Task planning, MDPs, and reinforcement learning
Robotics
Development environment and robotics projects