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Generative AI is a game-changer...
but in the rush to embrace generative AI, the real challenge lies not in adopting the technology, but in using it responsibly. For leaders, this means navigating complex ethical concerns—like reducing bias and ensuring privacy—while still driving innovation.
This online, self-paced program equips you with the critical knowledge and skills to harness AI’s potential thoughtfully, balancing technological advancement with a commitment to improving the human condition.
Here's what you can expect...
- Cutting-Edge Curriculum: Hear from Stanford experts as they share cutting-edge research, insights, and industry trends and applications.
- Holistic Approach: Delve into technical aspects, real-world applications, and societal implications of generative AI
- Human-Centered Focus: Examine ethical implications, fairness, privacy, safety, and the importance of human-centric design of AI applications.
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Graduate or Professional?
Time Commitment
Achievement
Classmate Interactions
Cost
Graduate Certificate Courses
90–120 hours per course
Earn up to 18 units of academic credit that may contribute to a certificate or a degree
Frequent collaboration with other students taking courses at the same time
$$$$
Professional Certificate Courses
6–13 hours per course
Earn a certificate and, in some cases, professional education units
Potential to connect with other participants through private social media groups
$$
Three Comprehensive Courses
Technical Fundamentals of Generative AI
Gain a profound understanding of the technical principles underlying generative AI applications.
Business Opportunities & Applications of Generative AI
Explore how foundation models can be effectively leveraged in organizations while navigating potential pitfalls.
Human-Centered Generative AI
Learn ethical strategies and techniques for developing and implementing generative AI in a way that serves the interests of all stakeholders.
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Faculty
Christopher Potts
Professor of Linguistics and Computer Science
Percy Liang
Associate Professor of Computer Science
Dorsa Sadigh
Assistant Professor of Computer Science and Electrical Engineering
Andrew Ng
Adjunct Professor, Computer Science
