AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - 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 Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
Week 2 Introduction
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Reviews
4.8 (42,114 ratings)
- 5 stars82.89%
- 4 stars15.03%
- 3 stars1.63%
- 2 stars0.21%
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JH
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Great introduction that provides a foundation for further learning. Concepts are clearly explained, video execution & facilitation by the instructor are are seamless, it's a fun, short, class to take.
HC
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I now are equipped with right attitude to AI projects, it's limitation and how it will affect our society/jobs. It is very beneficial for me to set up the right mindset to carry on to next AI courses.
From the lesson
Building AI Projects
Taught By
Andrew Ng
Instructor