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European Master in Artificial Intelligence for Connected Industries
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Link Type
Training url
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Target audience
Digital skills for the labour force.Digital technology / specialisation
Artificial IntelligenceDigital skill level
IntermediateGeographic Scope - Country
European UnionIndustry - Field of Education and Training
Information and Communication Technologies (ICTs) not further definedTarget language
EnglishType of initiative
International initiative
Event setting
Target group
Persons requiring employment retrainingTypology of training opportunities
Course
Learning activity
lab / simulation / practice coursework
Assessment type
OnlineTraining duration
Up to 1 week
Organization
Arqus AllianceIs this course free
No
Is the certificate/credential free
No
Type of training record
Single offer
Effort
Part time light
Credential offered
Learning activity
Self-paced course
No
About the Programme
The Master program takes place in Paris, Avignon, Mulhouse (France), and Barcelona (Spain), Kiev (Ukraine), Cluj-Napoca (Romania) and Ulm (Germany), with some courses on-site, some courses offered in full remote modalities by partners, and some courses in hybrid mode (onsite for one, two or three sites, and remote for others).
Study programme
The Master program covers:
- Advanced artificial intelligence technologies applied to networked systems and robotics;
- Advanced technologies related to the design IoT computing systems, protocols and applications;
- Novel network architectures emerging with network virtualization (NFV), edge computing (MEC) and softwarization (SDN, SD-x);
- Modeling and performance evaluation of networks and computing systems, including 5G and beyond 5G systems;
- Integration of artificial intelligence and novel decision-making frameworks for the operations and automation of communication networks and IoT Systems.
The Program’s faculty body includes world-class academics and industry experts. They participate actively in various areas such as: international, European and national colla-borative projects, industrial research projects (H2020, ANR), standardization and open-source bodies (ONF, IETF, ETSI) etc. Lecturers are also active researchers and engineers, who contribute significantly with standards, open source pro-jects, scientific articles and publications to the contents of the Master program.
Objectives and Skills Learned
The Master program is meant for students willing to become expert of digital infrastructure technologies, going from network and Internet/cloud infrastructures to edge computing and IoT systems and applications.
Students attending the Computer Networks and IoT Systems Master program will learn and experiment current and novel technologies underpinning the Internet infrastructure, related to Network Virtualization, Internet-of-Things (IoT) protocols and architectures, IoT device design, Artificial Intelligence and Machine Learning integration in network and embedded systems, Software-Defined-Networking, Cloud Networking, 5G and beyond-5G architectures – a set of novel technologies driving the digital society evolution.