The course content addresses the following topics:
- Foundations: from sequence models to transformers
- Tokens, representations, and attention
- Training paradigms, data, and infrastructure
- Interfaces and model adaptation: prompting, retrieval, fine-tuning, and parameter-efficient fine-tuning (PEFT)
- Evaluation, robustness, safety, interpretability, and frontiers
- AgentBuilder practical lab