Explore AI across cloud, edge & IoT! Discover AI technologies for modern applications. Unleash the power of AI on diverse platforms.
Explore AI across cloud, edge & IoT! Discover AI technologies for modern applications. Unleash the power of AI on diverse platforms.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Artificial Intelligence: an Overview Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(33 ratings)
2,715 already enrolled
Instructors:
English
What you'll learn
Understand AI implementation across cloud, edge, and IoT platforms
Explore machine learning and deep learning technologies for different environments
Learn about hardware accelerators and their role in AI processing
Grasp the challenges and opportunities in modern AI deployments
Master concepts of ML-as-a-service and edge AI solutions
Analyze real-world AI implementation case studies
Skills you'll gain
This course includes:
1.4 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by

Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 4 modules in this course
This comprehensive course explores the technological landscape of AI implementation across different computing paradigms. Students learn about hardware technologies for machine and deep learning, from IoT systems to large-scale data centers. The curriculum covers cloud-based AI services, edge computing solutions, and the evolution of hardware accelerators. Special emphasis is placed on understanding the practical applications and challenges of deploying AI across different platforms.
IT and AI
Module 1 · 49 Minutes to complete
AI on the Cloud
Module 2 · 51 Minutes to complete
Embedded and Edge AI
Module 3 · 52 Minutes to complete
Challenges and opportunities
Module 4 · 21 Minutes to complete
Fee Structure
Instructor
Associate Professor and Expert in Embedded AI
Manuel Roveri earned his Dr. Eng. degree in Computer Science Engineering from Politecnico di Milano in June 2003, followed by an MS in Computer Science from the University of Illinois at Chicago in December 2003, and a Ph.D. in Computer Engineering from Politecnico di Milano in May 2007. He was a Visiting Researcher at Imperial College London in 2011 and currently serves as an Associate Professor in the Department of Electronics and Information at Politecnico di Milano. His research focuses on Embedded and Edge Artificial Intelligence, Tiny Machine Learning, Deep Learning, and Learning in nonstationary or evolving environments. A Senior Member of IEEE, Roveri has chaired and participated in various IEEE committees, holds one patent, and has published approximately 100 papers in international journals and conference proceedings. He has received notable accolades, including the 2018 IEEE Computational Intelligence Magazine "Outstanding Paper Award" and the 2016 IEEE Computational Intelligence Society "Outstanding Transactions on Neural Networks and Learning Systems Paper Award."
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.