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URL: https://www.coursera.org/learn/trustworthy-generative-ai

⇱ Trustworthy Generative AI | Coursera


Trustworthy Generative AI

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Trustworthy Generative AI

This course is part of multiple programs.

Instructor: Dr. Jules White

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58,138 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.8

1,056 reviews

Beginner level

Recommended experience

Flexible schedule
9 hours to complete
Learn at your own pace
98%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.8

1,056 reviews

Beginner level

Recommended experience

Flexible schedule
9 hours to complete
Learn at your own pace
98%
Most learners liked this course

What you'll learn

  • What problems actually make sense to solve with Generative AI

  • How to frame problems and prompt engineer to produce more trustworthy results from Generative AI

Details to know

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Assessments

2 assignments

Taught in English

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  • Earn a shareable career certificate

There is 1 module in this course

We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.

The course will show how you can: - Leverage prompt engineering techniques to generate more reliable outputs - Master methods to verify and validate outputs - Frame problems in alternative ways to reduce risk - Apply generative AI for creative ideation - Use Generative AI in ways that augment rather than replace human reasoning and creativity

What's included

12 videos5 readings2 assignments

12 videosβ€’Total 102 minutes
  • Introductionβ€’8 minutes
  • Generative AI is Not a Source of Factsβ€’7 minutes
  • Make Sure Checking if the Answer is Correct is Easyβ€’5 minutes
  • Avoid Hard to Check Answersβ€’4 minutes
  • Look for Problems Where Partial Answers Provide Valueβ€’7 minutes
  • Think About Riskβ€’6 minutes
  • Does the Use Benefit You as a Human?β€’7 minutes
  • ACHIEVEβ€’20 minutes
  • Filteringβ€’11 minutes
  • Ideationβ€’5 minutes
  • Navigationβ€’7 minutes
  • Expertiseβ€’13 minutes
5 readingsβ€’Total 50 minutes
  • The ACHIEVE Frameworkβ€’10 minutes
  • Learning More & Staying Connectedβ€’10 minutes
  • Prompt Patterns for Filtering & Citationβ€’10 minutes
  • Ideation and Creativityβ€’10 minutes
  • Prompt Patterns for Navigationβ€’10 minutes
2 assignmentsβ€’Total 360 minutes
  • Appropriate Problems & ACHIEVEβ€’180 minutes
  • Untitledβ€’180 minutes

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Instructor

Instructor ratings
4.8 (324 ratings)

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Vanderbilt University
52 Coursesβ€’1,199,972 learners

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Showing 3 of 1056

CA
Β·

Reviewed on Jun 11, 2024

The assignments were harder than I thought but they allowed me to understand the problems with Generative AI and how to manage those weaknesses appropriately.

AH
Β·

Reviewed on Dec 15, 2025

Another awesome offering from Dr. White, a leading authority on AI. Take any class you can that he teaches - well worth your time and you will learn it in a way that sticks.

EH
Β·

Reviewed on Aug 25, 2024

The content is very helpful and insightful. The main point for improvement is that the assignments/tests are not graded and there is no feedback on them

Frequently asked questions

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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.

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