Prompt Engineering for AI Text Generation

Prompt Engineering for AI Text Generation

位教师：Bill Rosenthal

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

5 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

5 小时完成

灵活的计划

自行安排学习进度

您将学到什么

In this course, you will generate text effectively using AI tools.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

Artificial intelligence (AI) tools can be used in a business setting to generate text that is unique, thorough, and highly effective at communication. In response to your written prompt describing what you require, these tools can quickly summarize information, generate ideas, solve problems, participate in conversations, and engage in a wide range of other purposes, enabling you to save time and money designing and developing text-based content. In order to achieve these goals, you must learn how to tell AI tools what you want in the right ways through prompt engineering.

Recent innovations in artificial intelligence have resulted in a variety of tools that can generate text based on some input that you provide. Whether you're an accomplished writer, marketing professional, or anyone else who uses the written word in their day-to-day work, you may find that these tools can generate effective ideas, impart key knowledge, or inject more style and creativity into your communication.

涵盖的内容

5个插件

You've had some experience prompting an AI model to generate text, but this doesn't mean you can magically get the perfect results you're looking for. One of the key skills you need to learn to be effective with generative AI is prompt engineering. In this lesson, you'll explore the various ways you can refine your prompts to get better results from the model—results that you can feel confident in using toward achieving your goals.

涵盖的内容

4个插件

Now that you've picked up useful prompt-engineering skills for text generation, you'll want to employ those skills to help enhance your job tasks and bring value to the business. In this lesson, you'll explore the different ways text generation can solve business problems, as well as how to address some of the ethical issues surrounding generative AI.

涵盖的内容

4个插件

You'll wrap things up and then validate what you've learned in this course by taking an assessment.

涵盖的内容

1个作业1个插件

位教师

Bill Rosenthal

Logical Operations

157 门课程33,461 名学生

提供方

Logical Operations

从 Business Essentials 浏览更多内容

Logical Operations
Prompt Engineering for AI Image Generation
课程
IBM
Generative AI: Prompt Engineering Basics
课程
Packt
Generative AI & Prompt Engineering for Design & Content
课程
Alex Genadinik
Prompt Engineering For New Professionals
课程

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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.