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URL: https://www.coursera.org/learn/technologies-and-platforms-for-artificial-intelligence

⇱ Technologies and platforms for Artificial Intelligence | Coursera

Technologies and platforms for Artificial Intelligence

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Technologies and platforms for Artificial Intelligence

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Gain insight into a topic and learn the fundamentals.
4.8

94 reviews

Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.8

94 reviews

Beginner level

Recommended experience

3 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

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Assessments

3 assignments

Taught in English

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

There are 4 modules in this course

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.

What's included

3 videos1 assignment

3 videos•Total 20 minutes
  • The IT perspective for AI •6 minutes
  • The hardware technologies for AI•6 minutes
  • Technological evolution and AI revolution•7 minutes
1 assignment•Total 30 minutes
  • Quiz•30 minutes

What's included

3 videos1 assignment

3 videos•Total 22 minutes
  • The IT architecture for AI on Cloud•7 minutes
  • Machine- and deep-learning-as-a-service•7 minutes
  • Hardware accelerators fueling AI•8 minutes
1 assignment•Total 30 minutes
  • Quiz•30 minutes

What's included

3 videos1 assignment

3 videos•Total 22 minutes
  • Computing anywhere: IoT and Edge for AI•7 minutes
  • AI for IoT•9 minutes
  • Edge AI •7 minutes
1 assignment•Total 30 minutes
  • Quiz•30 minutes

What's included

3 videos

3 videos•Total 21 minutes
  • Challenges and opportunities•7 minutes
  • Case Study: Technology Provider•7 minutes
  • Case Study: End User•7 minutes

Earn a career certificate

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Instructor

Instructor ratings
4.7 (21 ratings)
Politecnico di Milano
1 Course•9,001 learners

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Showing 3 of 94

JD
·

Reviewed on Nov 11, 2025

Tiene un compendio amplio de las referencias iniciales para entender cómo opera la Ia junto con el ML y el uso en diferentes entornos.

BN
·

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).

RS
·

Reviewed on Sep 9, 2023

VERY INFORMATIVE,WELL PREPARED,WELL PRESENTED AND VERY NICE COURSE FROM COURSERA.

Frequently asked questions

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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.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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