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.

Develop and Evaluate LLM Features Effectively

Develop and Evaluate LLM Features Effectively
This course is part of LLM Optimization & Evaluation Specialization

Instructor: LearningMate
Access provided by Masterflex LLC, Part of Avantor
Recommended experience
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
- Scenario Testing
- Large Language Modeling
- Acceptance Testing
- User Story
- Product Requirements
- User Acceptance Testing (UAT)
- Key Performance Indicators (KPIs)
- Functional Requirement
- LLM Application
- Requirements Analysis
- User Requirements Documents
- Functional Testing
- AI Product Strategy
- Technical Communication
- Risk Management Framework
- Business Requirements
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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Instructor

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Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
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