PluralSight – Prompt Engineering with OpenAI ChatGPT 2026
English | Tutorial | Size: 226.56 MB
Stop wasting time fighting ChatGPT. This course will teach you a simple prompt system-roles, constraints, examples, and templates-to reliably get high-quality outputs for writing, planning, analysis, and coding.
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.
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