Available both online and onsite, these instructor-led live Edge Computing training courses guide you through interactive, hands-on exercises. They demonstrate how to leverage Edge Computing to decentralise data management, enhancing performance by utilizing smart devices situated on the source network.
Edge Computing training is offered in two formats: "online live training" and "onsite live training". Online live sessions (also known as "remote live training") are conducted via an interactive remote desktop. Alternatively, onsite live training can take place at your customer premises in Gaia or at NobleProg corporate training centres in Gaia.
NobleProg -- Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.
By the end of this training, participants will be able to:
Understand the principles and benefits of Federated Learning in IoT and edge computing.
Implement Federated Learning models on IoT devices for decentralized AI processing.
Reduce latency and improve real-time decision-making in edge computing environments.
Address challenges related to data privacy and network constraints in IoT systems.
This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.
By the end of this training, participants will be able to:
Understand the fundamentals of Edge AI and its application in IoT.
Set up and configure Edge AI environments for IoT devices.
Develop and deploy AI models on edge devices for IoT applications.
Implement real-time data processing and decision-making in IoT systems.
Integrate Edge AI with various IoT protocols and platforms.
Address ethical considerations and best practices in Edge AI for IoT.
This instructor-led, live training session in Gaia (online or onsite) is designed for intermediate IT professionals and business managers who wish to explore the potential of IoT and edge computing to drive efficiency, real-time processing, and innovation across various industries.
Upon completion of this training, participants will be capable of:
Grasping the core principles of IoT and edge computing and their significance in digital transformation.
Recognising practical applications of IoT and edge computing within manufacturing, logistics, and energy sectors.
Distinguishing between edge and cloud computing architectures as well as their respective deployment scenarios.
Deploying edge computing solutions to support predictive maintenance and real-time decision-making.
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