Intermediate

Prompt Optimization and Evaluation

Systematically improve prompts through evaluation and iteration. Learn metrics for assessing prompt quality and techniques for optimization.

Estimated Time 24 hours

Introduction

Systematically improve prompts through evaluation and iteration. Learn metrics for assessing prompt quality and techniques for optimization.

4 Lessons
24h Est. Time
4 Objectives
1 Assessment

By completing this module you will be able to:

Define and measure prompt effectiveness
Compare and benchmark different prompts
Implement A/B testing for prompt variants
Understand model-specific optimization

Lessons

Work through each lesson in order. Each one builds on the concepts from the previous lesson.

1

Defining Prompt Quality Metrics

50 min

Start Lesson
2

Systematic Prompt Testing and A/B Testing

50 min

Start Lesson
3

Model-Specific Optimization Strategies

45 min

Start Lesson
4

Prompt Versioning and Lifecycle Management

40 min

Start Lesson

Recommended Reading

Supplement your learning with these selected chapters from the course library.

📖

Prompt Engineering for Generative AI

Chapters 11-15

Module Assessment

Prompt Optimization and Evaluation

Question 1 of 3

How should you evaluate whether one prompt is better than another?