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

Jelenia Góra

Pałac Wojanów, Wojanów 8, Jelenia Góra, Poland, 58-508

Explore Our Courses

TinyML: Running AI on Ultra-Low-Power Edge Devices

 21 Hours
This instructor-led, live training in dolnośląskie (online or onsite) is aimed at intermediate-level embedded engineers, IoT developers, and AI researchers who wish to implement TinyML techniques for AI-powered applications on energy-efficient hardware. By the end of this training, participants will be able to:
  • Understand the fundamentals of TinyML and edge AI.
  • Deploy lightweight AI models on microcontrollers.
  • Optimize AI inference for low-power consumption.
  • Integrate TinyML with real-world IoT applications.
Read more...

TinyML for IoT Applications

 21 Hours
This instructor-led, live training in dolnośląskie (online or onsite) is aimed at intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications. By the end of this training, participants will be able to:
  • Understand the fundamentals of TinyML and its applications in IoT.
  • Set up a TinyML development environment for IoT projects.
  • Develop and deploy ML models on low-power microcontrollers.
  • Implement predictive maintenance and anomaly detection using TinyML.
  • Optimize TinyML models for efficient power and memory usage.
Read more...

Deploying AI on Microcontrollers with TinyML

 21 Hours
This instructor-led, live training in dolnośląskie (online or onsite) is aimed at intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse. By the end of this training, participants will be able to:
  • Understand the fundamentals of TinyML and its benefits for edge AI applications.
  • Set up a development environment for TinyML projects.
  • Train, optimize, and deploy AI models on low-power microcontrollers.
  • Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
  • Optimize AI models for power efficiency and memory constraints.
Read more...

Introduction to TinyML

 14 Hours
This instructor-led, live training in dolnośląskie (online or onsite) is aimed at beginner-level engineers and data scientists who wish to understand TinyML fundamentals, explore its applications, and deploy AI models on microcontrollers. By the end of this training, participants will be able to:
  • Understand the fundamentals of TinyML and its significance.
  • Deploy lightweight AI models on microcontrollers and edge devices.
  • Optimize and fine-tune machine learning models for low-power consumption.
  • Apply TinyML for real-world applications such as gesture recognition, anomaly detection, and audio processing.
Read more...

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