Wrocław

NobleProg , Ludwika Rydygiera 2a/22, Wroclaw, Poland, 50-249

Classroom is located in the city center (right next to HP Park Plaza), just 10 minutes walk from the market square.

The entrance to the building is located from the Śrutowa street.

Wrocław, Ludwika Rydygiera 2a

Check our offer to rent rooms and rent computer equipment!

Parking

Near the classroom, the number of free parking spaces is limited, there is no paid parking zone (along Rydygiera, Śrutowa and Henryka Brodatego, Bolesława Drobnera streets).

Public transport
The nearest tram stops: Dubois, Pomorska
The nearest bus stops: Dubois

Explore Our Courses

Federated Learning in IoT and Edge Computing

 14 Hours
This instructor-led, live training in Wroclaw (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.
Read more...

Edge AI for IoT Applications

 14 Hours
This instructor-led, live training in Wroclaw (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.
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Digital Transformation with IoT and Edge Computing

 14 Hours
This instructor-led, live training in Wroclaw (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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Edge Computing

 7 Hours
This instructor-led, live training in Wroclaw (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.
Read more...

Last Updated:

Provisional Courses

Digital Transformation with IoT and Edge Computing

2025-06-26 09:00
14 hours
Wrocław
2580 PLN (Online)
2620 PLN (Classroom)

Federated Learning in IoT and Edge Computing

2025-07-10 09:00
14 hours
Wrocław
2580 PLN (Online)
2620 PLN (Classroom)

Edge AI for IoT Applications

2025-07-24 09:00
14 hours
Wrocław
2580 PLN (Online)
2620 PLN (Classroom)

Digital Transformation with IoT and Edge Computing

2025-08-07 09:00
14 hours
Wrocław
2580 PLN (Online)
2620 PLN (Classroom)

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These courses are also available in other countries

Consulting

Edge Computing Consulting
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