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.
Technologies and platforms for Artificial Intelligence
Technologies and platforms for Artificial Intelligence
This course is part of Artificial Intelligence: an Overview Specialization
Instructor: Manuel Roveri
3,139 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(44 reviews)
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
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
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Artificial Intelligence: an Overview Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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
Instructor ratings
5.0 (9 ratings)Offered by
Recommended if you're interested in Algorithms
Johns Hopkins University
University of Illinois Urbana-Champaign
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.7
44 reviews
- 5 stars
81.81%
- 4 stars
11.36%
- 3 stars
4.54%
- 2 stars
0%
- 1 star
2.27%
Showing 3 of 44
CL
5
Reviewed on Dec 12, 2022
Excellent course on AI technological platforms ! Lots of industrial AI applications are given. I enjoyed the course very much !
RS
5
Reviewed on Sep 9, 2023
VERY INFORMATIVE,WELL PREPARED,WELL PRESENTED AND VERY NICE COURSE FROM COURSERA.
BN
4
Reviewed on Dec 4, 2023
Great course and usefull information for 2 hours but the professors accent annoys a little (so sorry to say that).
New to Algorithms? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.