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
This course is part of multiple programs.

Instructor: Dr. Jules White
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Access provided by Signature Performance, Inc.
39,426 already enrolled
(823 reviews)
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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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There is 1 module in this course
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12 videos5 readings2 assignments
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Learner reviews
823 reviews
- 5 stars83.59% 
- 4 stars12.75% 
- 3 stars2.43% 
- 2 stars0.48% 
- 1 star0.72% 
Showing 3 of 823
Reviewed on May 25, 2025
Took its as the 3rd course in the specialisation of Prompt engineering. Very insightful throughout all the courses. Jules is a very involved teacher. I have really found an interest for this subject.
Reviewed on Jan 11, 2025
Highly informative. The assignments were mildly daunting because some did involve formats that I needed to practice. Overall, incredibly eye-opening regarding the scope of GenAi.
Reviewed on Jan 19, 2025
Practical insight on appropriate problems to have generative AI help tackle. I liked the advice on how to get the most out of generative AI.
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