What should a first-principles AI agent curriculum actually cover? [D]

There are plenty of tutorials showing how to build agents with frameworks, but I think the harder question is: what concepts should someone understand before using those abstractions? I’m currently organizing a first-principles learning path roughly as: LLM vs Agent → Agent Loop → Tools & Function Calling → State/Memory → Context Engineering → Runtime/Harness → Multi-Agent Systems → Evaluation → Safety → Production Agents The early examp