Available online or in-person, our live Edge Computing training sessions guide learners through interactive, hands-on exercises to master the decentralization of data management. This approach enhances performance by utilizing smart devices positioned directly on the source network.
The training is offered as either "online live training" or "onsite live training". Online live training, also referred to as "remote live training", is conducted via an interactive remote desktop. For onsite live training, sessions can be hosted at customer premises in Durban or at NobleProg's corporate training facilities in Durban.
NobleProg – Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led live training in Durban (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimise IoT and edge computing solutions.
By the end of this training, participants will be able to:
Grasp the principles and advantages of Federated Learning in IoT and edge computing.
Deploy Federated Learning models on IoT devices for decentralized AI processing.
Minimise latency and enhance real-time decision-making in edge computing environments.
Address challenges concerning data privacy and network constraints in IoT systems.
This instructor-led, live training in Durban (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 in Durban (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and innovation in various industries.
By the end of this training, participants will be able to:
Understand the principles of IoT and edge computing and their role in digital transformation.
Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
Differentiate between edge and cloud computing architectures and deployment scenarios.
Implement edge computing solutions for predictive maintenance and real-time decision-making.
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