This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.
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About this Course
The course is aimed at technical staff but it may be of interest to all those who wish to better understand the Machine and Deep Learning field.
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Try Coursera for BusinessWhat you will learn
Describe the technological scenario of AI (Cloud, Edge, IoT) from an IT perspective.
Identify the Machine and Deep Learning techniques and solutions developed for IoT and Edge Computing systems.
Explain the main challenges and opportunities of technologies and platforms for AI.
The course is aimed at technical staff but it may be of interest to all those who wish to better understand the Machine and Deep Learning field.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
IT and A
AI on the Cloud
Embedded and Edge AI
Challenges and opportunities
About the Artificial Intelligence: an Overview Specialization

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