What you'll learn

Stop wasting time with vague prompts that produce inconsistent, unusable outputs. In this course, Prompt Engineering with OpenAI ChatGPT, you’ll learn a repeatable workflow for guiding ChatGPT with clear, structured prompts that produce reliable results across common work tasks. First, you’ll build a practical “prompt contract”—instructions, context, constraints, examples, and an explicit output contract—so the model knows exactly what “done” looks like. Next, you’ll apply engineered prompting in two steps: use role + output structure to get usable, audience-fit results, then add grounding constraints and a tiny few-shot example to prevent confident-but-wrong analysis. Finally, you’ll learn a prompt debugging loop—evaluate, diagnose, change one lever, and re-test—using tests as a truth meter for code, and output contracts to control detail, tone, and audience (including a quick lesson plan outline example). When you’re finished, you’ll have the structured prompting skills needed to consistently direct ChatGPT’s behavior and get high-quality outputs on demand.