This course helps you pitch, prioritize, and govern AI work inside a company.
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.
- 01Strategy is a portfolio, not a chatbot tourWhere AI creates advantage versus where it is a toy.
- 02Build, buy, and reshape the processDo not sprinkle a model on a bad process.
- 03Data, risk, and the operating modelWho owns prompts, evals, and vendors.
- 04Value tracking that a CFO will acceptTime, error, and revenue — with a baseline.
- 05Skills and changeWho needs prompting skill versus who needs process skill.
- 06A one-year roadmapTwo wedges, one platform bet, and explicit kills.
- 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.