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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Technologies and platforms for Artificial Intelligence
This course is part of Artificial Intelligence: an Overview Specialization
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Instructor: Manuel Roveri
Sponsored by Coursera Learning Team
3,340 already enrolled
(46 reviews)
Recommended experience
What you'll 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.
Details to know
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3 assignments
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Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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Share it on social media and in your performance review
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There are 4 modules in this course
What's included
3 videos1 assignment
What's included
3 videos1 assignment
What's included
3 videos1 assignment
What's included
3 videos
Instructor
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Learner reviews
46 reviews
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10.86%
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4.34%
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Reviewed on Dec 13, 2022
Excellent course on AI technological platforms ! Lots of industrial AI applications are given. I enjoyed the course very much !
Reviewed on Dec 5, 2023
Great course and usefull information for 2 hours but the professors accent annoys a little (so sorry to say that).
Reviewed on Sep 10, 2023
VERY INFORMATIVE,WELL PREPARED,WELL PRESENTED AND VERY NICE COURSE FROM COURSERA.
Recommended if you're interested in Computer Science
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