Module 1 of 4Lesson 1 of 1~5 min
Course overview
This prompt engineering course for product managers shows you how to get usable deliverables out of generative AI instead of drafts you have to rewrite. You practice on your own product work (feedback synthesis, personas, interviews, user stories) and leave with an assistant set up for your routine.
Lesson objective
By the end of this overview, you will know who the course is for, what you will produce (prompts tested on your own deliverables and a configured assistant) and how the three modules fit together.
Topics covered
- prompt engineering for product managers
- prompting for PMs
- generative AI for PMs
- AI assistant
- product deliverables
Where it fits
Overview
What will I be able to do by the end of this course, and in what order?
Lessons in this module
- Course overview (this lesson)
What you will learn in the course
This lesson is part of the course Prompting for Product Managers: delegate, describe, verify
- Decide, for a task in your product cycle, whether to hand it to AI, in which mode (automation, augmentation, agent), and what you keep.
- Explain how an LLM behaves (prediction, dated knowledge, working memory, instruction following) to anticipate its mistakes and pick the right fix.
- Write a prompt that describes the deliverable, the process and the quality bar, with context, delimited data and examples when needed.
- Evaluate an AI output (content, process, behavior) against explicit criteria, then improve it through targeted iterations.
- Produce PM deliverables with AI (feedback synthesis, persona, interview guide, user stories) from real data, and check that they are faithful to it.
- Configure standing instructions and a dedicated assistant for a recurring task, test it on real cases, and decide when to move to an agent.
- Apply diligence rules (shared data, transparency, accountability) before using or circulating work produced with AI.
Related courses
- Build reliable Claude Skills for your product workAdvanced · ~2 hr 30 min
- Choosing and using AI tools at workAll levels · ~1 hr 40 min
- Understand what LLMs do well, and where they failAll levels · ~2 hr