Online or onsite, instructor-led live Edge Computing training courses demonstrate through interactive hands-on practice how to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.
Edge Computing training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Edge Computing training can be carried out locally on customer premises in Kansas or in NobleProg corporate training centers in Kansas.
NobleProg -- Your Local Training Provider
KS, Overland Park - Commerce Plaza
7300 West 110th Street, Commerce Plaza I, Overland Park, United States, 66210
The office in Commerce Plaza is in the heart of Overland Park, which is frequently listed as one of the best places to live and work in America. Overland Park is a nationally recognized city and has a thriving economy. It is positioned in the premier office corridor of College Boulevard in Johnson County, which has experienced rapid economic growth and is a nationally-recognized center of excellence. The office is also near the Sprint Campus in a gleaming high-rise building that's landscaped with trees. It's also well served for hotels within five minutes' walking distance, shopping malls and restaurants.
NE, Omaha - Landmark Center
1299 Farnam Street Suite 300, Omaha, United States, 68102
The venue is located on the corner of S 13th St and Famam St, with a beautiful view at American Park and just across the street from the Nebraska State Office Building.
OK, Oklahoma City - Park Avenue
101 Park Ave #1300, Oklahoma City, united states, 73102
The venue is located in the same building as Rolex and BC Clark Jewelers, just opposite of Kerr Park and the Air Force Monument.
This instructor-led, live training in Kansas (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 Kansas (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 Kansas (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.
This instructor-led, live training in Kansas (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.
By the end of this training, participants will be able to:
Understand the basic concepts and advantages of Edge Computing.
Identify the use cases and examples where Edge Computing can be applied.
Design and build Edge Computing solutions for faster data processing and reduced operational costs.
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