Technologies and platforms for Artificial Intelligence

 

The MOOC aims to present the main platforms and technological solutions in the Machine and Deep Learning field.

Provided ByPolitecnico di Milano
Type of providerHE Institution
Provided athttps://www.pok.polimi.it/
Learning opportunity typeMOOC
Languageen
Home pagehttps://www.pok.polimi.it/courses?search_query=AI104
Start date2021-08-30
End date2022-03-27
Duration7
Workload in hours8
Admission procedureOpen to all
Price detailsYou can access the course absolutely free of charge.
AssessmentsTo successfully complete this course, and henceforth receive the certificate of accomplishment, it is necessary to pass the quiz with 60%.
Type of credentialCertificate of participation
ISCEDF Code0619 - Information and Communication Technologiesn.e.c.
Education subject0619 - Information and Communication Technologies not elsewhere classified
Learning settingsnon formal learning
Learning outcomeTechnologies and platforms for AI – LO – Describe
Describe the technological scenario of AI (Cloud, Edge, IoT) from an IT perspective
Related skillhttp://data.europa.eu/esco/skill/e465a154-93f7-4973-9ce1-31659fe16dd2 http://data.europa.eu/esco/skill/8369c2d6-c100-4cf6-bd83-9668d8678433 http://data.europa.eu/esco/isced-f/0619 http://data.europa.eu/esco/isced-f/061
Learning outcomeTechnologies and platforms for AI – LO – Describe the role
Describe the role of Hardware Accelerators in the grow of AI
Learning outcomeTechnologies and platforms for AI – LO – Explain the cloud-based
Explain the Cloud-based approaches for AI comprising machine- and deep-learning-as-a-service
Learning outcome typeKnowledge
Reusability levelsector specific skills and competences
Related skillhttp://data.europa.eu/esco/skill/bd14968e-e409-45af-b362-3495ed7b10e0
Learning outcomeTechnologies and platforms for AI – LO – Explain the main
Explain the main challenges and opportunities of technologies and platforms for AI
Learning outcomeTechnologies and platforms for AI – LO – Identify
Identify the Machine and Deep Learning techniques and solutions developed for IoT and Edge Computing systems
Learning outcome typeKnowledge
Reusability levelSector specific skills and competences
Related skillhttp://data.europa.eu/esco/skill/f049d050-12da-4e40-813a-2b5eb6df6b51
Assessor typeartificial intelligence
Assessment formatautomatic grading
Awarding opportunityThe Certificate of Accomplishment will be released to anyone who successfully completes the course by answering correctly to at least 60% of the questions by the end of the edition. You will be able to download the Certificate of Accomplishment directly on the website. Once you have successfully passed the course, you can request the Certificate of Accomplishment without waiting for the end of the edition. The Certificate of Accomplishment does not confer any academic credit, grade or degree.

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