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.

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What you'll learn
Translate an LLM product concept into a detailed PRD and create a UAT plan to validate that the delivered feature meets user requirements.
Skills you'll gain
- Business Requirements
- AI Product Strategy
- Functional Testing
- Risk Management Framework
- Functional Requirement
- Technical Communication
- Requirements Analysis
- Large Language Modeling
- User Requirements Documents
- User Story
- Scenario Testing
- Key Performance Indicators (KPIs)
- Acceptance Testing
- Product Requirements
- User Acceptance Testing (UAT)
- LLM Application
Details to know

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December 2025
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There are 2 modules in this course
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.
What's included
2 videos1 reading2 assignments
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.
What's included
2 videos1 reading1 assignment1 ungraded lab
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