Quick answer: Designing prompts that get reliable, production-grade output from LLMs.
Prompt Engineering is the practice of crafting precise, well-structured instructions to guide Large Language Models (LLMs) to produce reliable, high-quality outputs. Rather than treating LLMs like search engines, prompt engineers design inputs that clarify context, specify output format, and guide reasoning step-by-step. This skill lets you build production AI systems—from customer support chatbots that handle edge cases correctly, to code generation tools that produce syntactically sound programs, to document analysis systems that extract exactly what you need. By mastering prompt patterns like few-shot examples, chain-of-thought reasoning, and role-based prompting, you transform raw LLM capability into dependable business solutions.