Learn the core ideas behind modern generative AI, including prompting, evaluation, and responsible use, with examples you can apply immediately.
Includes practical lessons, exercises, and a clear next step after you enroll.
About this course
Curriculum
Lessons are listed in order. Each one has a goal, a walkthrough, practice, and a short check before you continue.
- 01What generative AI is (and is not)Separate useful generation from search, rules, and hype.
- 02Prompt patterns that actually workUse task, audience, format, and constraints instead of a vague wish.
- 03Evaluating model outputs without guessingScore drafts on usefulness, accuracy, and missing pieces.
- 04Safety, attribution, and what you can publishKnow what must be checked before a draft leaves your desk.
- 05A beginner workflow you can repeatMove from idea to usable draft in a fixed sequence.
- 06Where to go next in this catalogPick the next course that matches the job you actually have.
- 07Workshop: a complete pass on a real taskCombine the earlier lessons into one working example you can keep.
- 08Quality bar, common mistakes, and a 30-day planLock in a checklist so the skill survives after the course ends.