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Trustworthy Generative AI
This course is part of Generative AI Leadership & Strategy.
Course Cost
Free course
Beginner
Skill Level
8 Hours
Self-paced Video lessons
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
15,270 Enrolled
English
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
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
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
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI Leadership & Strategy
Reviews
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.8
18
Reviews
5,44,836
Students
34
Courses
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.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.