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Module
Module 1 of 6Lesson 1 of 1~2 min

Course overview

This course is for product managers who want to build a useful AI assistant into their product, not just another chatbot. You learn to frame the use case, design the experience, give access to knowledge, govern actions, evaluate and then run it in production. You leave with the complete design dossier for your assistant.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this overview, you will know what you are going to produce (a design dossier in 7 sections) and in what order the five modules get you there.

Topics covered

  • AI assistant
  • product chatbot
  • assistant design
  • product manager
  • generative AI

Where it fits

Overview

What will I design in this course, and in what order?

Lessons in this module

  1. Course overview (this lesson)

What you will learn in the course

This lesson is part of the course Build an AI assistant for your product

  • Identify a use case that justifies an AI assistant and write its framing brief (problem, users, allowed actions, out of scope, success criteria).
  • Design the conversational experience: entry point, tone, handling uncertainty, handoff to a human and response format.
  • Choose and justify a knowledge strategy (instructions, injected context, RAG, fine-tuning) and a conversation memory strategy.
  • Specify the assistant's tools and actions (data read, actions written, confirmation, permissions) and choose how to build it.
  • Identify the risks (injection, leaks, excessive actions, costs) and design layered guardrails that go beyond the prompt.
  • Design an evaluation plan with a reference dataset, criteria, grading methods, release thresholds and a regression rule.
  • Define production metrics (product, quality, cost, latency), alert thresholds and the loop from user feedback to the evaluation set.

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