Optimize AI Prompts for Cost & Quality is an essential intermediate course for developers, data scientists, and product managers who are ready to move beyond basic AI interactions and master the art of prompt engineering. In a world where AI-driven applications are becoming ubiquitous, the ability to control AI outputs for quality, cost, and ethical alignment is a critical skill. This course provides a complete toolkit to transform you from a casual user into a strategic prompt architect.
Optimize AI Prompts for Cost and Quality
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Optimize AI Prompts for Cost and Quality
This course is part of Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
Instructor: LearningMate
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Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Create and optimize AI prompts to enhance performance, manage costs, and ensure high-quality, ethical outputs from AI models.
Skills you'll gain
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Recently updated!
January 2026
Taught in English
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This course is part of the Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
This module lays the foundation for effective prompt design. Learners will move beyond simple questions to architecting sophisticated, structured prompts that guide AI models to produce precise and reliable outputs. You will learn to create templates that define roles, tasks, and output formats, ensuring your AI applications perform consistently and meet defined goals, based on practices from AWS and the finance sector.
What's included
2 videos1 reading1 assignment
In this module, learners confront one of the biggest challenges in AI today: ensuring ethical and trustworthy outputs. You will learn to actively identify and analyze AI-generated content for hidden biases and factual errors (hallucinations). The module provides a framework for using prompt modifiers and evaluation techniques to mitigate these risks, drawing on the methods described in the arXiv research study.
What's included
2 videos1 reading2 assignments
This module focuses on the financial side of running AI applications. Learners will discover how AI models "charge" for their services through tokens and how inefficient prompts can lead to spiraling costs. You will learn practical techniques to analyze token usage and refine prompts to be more concise without sacrificing quality, based on the successful optimization strategies used by Requesty.ai.
What's included
2 videos1 reading2 assignments
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