Prompt Engineering
The practice of designing inputs to LLMs that reliably produce useful, accurate outputs — a core skill for building production AI features.
Prompt engineering is the craft of structuring queries, system instructions, and context so that an LLM produces reliable, accurate, and appropriately formatted outputs. It spans techniques like few-shot prompting, chain-of-thought reasoning, structured output formatting, and system prompt design. At production scale it also involves evaluation frameworks for measuring output quality and regression testing when model versions change.
Typical time to job-readiness: ~3 weeks.