Trustworthy Generative AI
Master techniques for responsible AI use, from problem framing to output validation. Learn to leverage GenAI safely and effectively.
Master techniques for responsible AI use, from problem framing to output validation. Learn to leverage GenAI safely and effectively.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Generative AI Assistants Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(321 ratings)
15,270 already enrolled
Instructors:
English
বাংলা, اردو, Қазақша, 3 more
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What you'll learn
Evaluate problems suitable for Generative AI solutions
Implement prompt engineering for reliable outputs
Master methods for AI output verification
Apply the ACHIEVE framework for AI implementation
Assess and mitigate AI-related risks
Design ethical AI applications
Skills you'll gain
This course includes:
2.3 Hours PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course focuses on developing a trustworthy approach to using Generative AI tools. Students learn to identify suitable problems for AI application, implement effective prompt engineering techniques, and validate outputs reliably. The curriculum covers the ACHIEVE framework, risk assessment strategies, and methods for augmenting human capabilities rather than replacing them. Special emphasis is placed on understanding AI limitations and ensuring ethical, beneficial applications.
Trustworthy Generative AI
Module 1 · 8 Hours to complete
Fee Structure
Instructor
Professor of Computer Science at Vanderbilt University
Dr. Jules White is a Professor of Computer Science at Vanderbilt University, where he also serves as the Director of the Initiative on the Future of Learning & Generative AI and the Associate Dean of Strategic Learning Programs in the School of Engineering. He is recognized for creating one of the first online courses in Prompt Engineering, which focuses on effective communication with AI systems. A recipient of the National Science Foundation CAREER Award, Dr. White has published over 160 papers and has received multiple Best Paper Awards for his research. His work primarily explores large language models, including ChatGPT, as well as topics in cybersecurity and software engineering across various sectors such as healthcare and manufacturing. He leads the Mobile Application Computing, Optimization, and Security Methods (MAGNUM) Group at Vanderbilt University, where he conducts his research and development efforts.
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4.8 course rating
321 ratings
Frequently asked questions
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