Design prompts as testable specifications and improve them using examples, constraints, and human review.
Treat a prompt as one component of a larger application rather than a magic phrase. Learners define task, context, constraints, output format, and checks; compare prompt revisions against stable examples; and evaluate whether a proposed prompt-writing tool actually improves results. The course does not endorse claims in any video title or promise that a particular template will work across models. Its original assignments emphasize repeatability, evidence, privacy, and human judgment.
Translate a user need into a prompt specification with context, constraints, and a reviewable output. Compare prompt revisions with a fixed set of representative and adversarial examples. Evaluate prompt-writing aids and model outputs without treating fluency or a vendor claim as proof of quality.
Experience using a conversational generative AI system and writing clear task instructions is recommended. Programming is not required. Use invented or public material, do not include confidential data, and independently verify factual or high-impact output.
Learners with basic familiarity who are ready to build practical, independent skills
People who learn best through examples, guided lessons, and hands-on practice
Professionals, creators, and independent builders looking for a repeatable workflow
Lesson 1 is free
4 lessons · Intermediate · Full course.
This course uses CC BY licensed material attributed to its content provider or uploader. Lesson playback is available only through authenticated access after publication and licensing checks pass.