Develop and Evaluate LLM Features Effectively
About this course
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.
63/100
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What you'll learn
- Create a Product Requirements Document (PRD) for LLM features
- Execute User Acceptance Testing (UAT) based on testable user stories
- Identify and prevent common failures in LLMs
Course objectives
- Develop professional product management skills applicable to AI features
- Enhance understanding of the validation process for AI products
- Ensure that AI features align with user expectations and safety standards
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