This course shows what to measure, how to present it, and how to spot problems before users do.
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.
- 01A dashboard answers questionsList the questions; each chart must earn its place.
- 02Metrics with definitions the model must useA dictionary in the prompt and on the dashboard.
- 03Narrative tiles that stay honestWhat changed, by how much, compared to what.
- 04Anomaly explanations as hypotheses“Possible causes” not “the cause.”
- 05Refresh, cache, and cost of asking the modelDo not call an LLM on every page load.
- 06A dashboard you could hand to an operatorFilters, empty states, and a link to the warehouse query.
- 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.
- 09Measure results so you know the work is actually betterAdd a simple evaluation so quality and cost are not guesswork.
- 10Ship it: handoff, monitoring, and the next projectPut the workflow where other people can use it without you in the room.