PosterPDF Available

AI For Everyone

Authors:

Abstract

- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company How to navigate ethical and societal discussions surrounding AI https://www.coursera.org/account/accomplishments/certificate/738VKR6PMY3T
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COURSE
CERTIFICATE
12/26/2019
Hamit Can
AI For Everyone
an online non-credit course authorized by deeplearning.ai and offered through
Coursera
has successfully completed
Adjunct Professor Andrew Ng
Computer Science Department
Stanford University
Verify at coursera.org/verify/738VKR6PMY3T
Coursera has confirmed the identity of this individual and
their participation in the course.
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