Develop and Evaluate LLM Features Effectively

Overview

Develop and Evaluate LLM Features Effectively is an intermediate course designed for product managers, QA professionals, and developers working on AI-powered features. This course teaches you how to prevent common LLM failures—like providing illegal advice or having bizarre conversations—by implementing professional product management practices. You will learn to create a Product Requirements Document (PRD), establishing a single source of truth that defines scope, MVP features, and success metrics for an LLM product. You will then shift from planning to validation, learning to build and execute a User Acceptance Testing (UAT) plan based on testable user stories. Through hands-on activities, you will draft a PRD for an HR chatbot and test a simulated feature for functional gaps and dangerous edge cases. By the end of this course, you will be able to ensure that the features you build are not only technically sound but also safe, effective, and aligned with your original vision.

Syllabus

Product Requirements for LLM Features

This module introduces the Product Requirements Document (PRD) as the foundational tool for successful LLM feature development. You will explore why a PRD is essential for aligning teams, what key components it must contain, and how to draft one for an HR policy chatbot. You will also learn to define a clear scope, establish measurable success metrics, and translate a product vision into an actionable plan for engineers.

Feature Validation and Acceptance Testing

In this module, you will shift your learning from planning to validation. You will discover how to ensure a delivered LLM feature meets the specifications laid out in the Product Requirements Document (PRD). You will also focus on creating and executing a User Acceptance Testing (UAT) plan, methodically testing for functionality gaps and unexpected edge cases, and documenting their findings to provide clear, actionable feedback to the development team.