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AI For Everyone

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 ...
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Content

Platform: Coursera
Video: 4h 21m
Language: English

Table of contents

Description

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.

You will learn

Requirements

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Business Strategy knowledge.

This course is for

This course is suitable for beginners.
Founder, DeepLearning.AI & Co-founder, Coursera
DeepLearning.AI
Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine learning, robotics, and related fields. Previously, he was chief scientist at Baidu, the founding lead of the Google Brain team, and the co-founder of Coursera – the world’s largest MOOC platform. Dr. Ng now focuses his time primarily on his entrepreneurial ventures, looking for the best ways to accelerate responsible AI practices in the larger global economy.
Platform: Coursera
Video: 4h 21m
Language: English

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