This course was ranked in the Top 100 Best Courses on Coursera, based on its high ratings and large number of ratings.
AI is not just for engineers. If you want your organization to get 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 can and cannot realistically do - How to detect opportunities to apply AI to problems in your own organization: how does it feel to create machine learning and
AI is not just for engineers.
If you want your organization to get 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 can and cannot realistically do - How to detect opportunities to apply AI to problems in your own organization - What it's like to create data science and machine learning projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and social discussions around AI -Technical, engineers can also take this course to learn the business aspects of AI.
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