Prompt Engineering
Techniques for writing prompts and system instructions that produce reliable model output.
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Prompt engineering has narrowed into a real discipline as models have improved. These courses cover structured prompting patterns, few-shot examples, chain-of-thought and reasoning prompts, system instructions and role framing, output schemas that downstream code can parse, and systematic evaluation so you can tell whether a change actually helped. The stronger material treats prompting as engineering, with version control, regression tests and cost measurement, rather than a list of magic phrases. Useful both to developers building on model APIs and to advanced business users who have hit the ceiling of casual chatbot use.