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.
Trustworthy Generative AI
Trustworthy Generative AI
This course is part of Prompt Engineering Specialization
Taught in English
Some content may not be translated
Instructor: Dr. Jules White
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Course
Gain insight into a topic and learn the fundamentals
4.8
(137 reviews)
Beginner level
Recommended experience
8 hours (approximately)
Flexible schedule
Learn at your own pace
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
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Recently updated!
November 2023
Assessments
2 assignments
Course
Gain insight into a topic and learn the fundamentals
4.8
(137 reviews)
Beginner level
Recommended experience
8 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
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This course is part of the Prompt Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course
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12 videos4 readings2 assignments
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