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
即将结束： 只需 199 美元（原价 399 美元）即可通过 Coursera Plus 学习新技能。立即节省
您将学到什么
Create and optimize AI prompts to enhance performance, manage costs, and ensure high-quality, ethical outputs from AI models.
您将获得的技能
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Build AI Apps Like a Pro: No-Code Tools for Beginners 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有3个模块
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.
涵盖的内容
2个视频1篇阅读材料1个作业
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.
涵盖的内容
2个视频1篇阅读材料2个作业
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.
涵盖的内容
2个视频1篇阅读材料2个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师
提供方
从 Machine Learning 浏览更多内容
状态：免费试用Alex Genadinik
状态：免费Amazon Web Services
状态：预览Simplilearn
状态：预览Board Infinity
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，
¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。