Whether delivered online or onsite, these instructor-led live microcontroller training programs utilize hands-on exercises to demonstrate the setup and programming of microcontrollers for managing real-world devices, including lights, motors, and motion detection sensors. Additionally, these courses cover the deployment of microcontrollers as standalone server systems for dedicated functions such as printing and web serving.
Microcontroller training is offered in two formats: "online live training" and "onsite live training." Online live training (also known as "remote live training") is conducted through an interactive remote desktop. Onsite live training is available locally on client premises in Athens or within NobleProg's corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers looking to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.
Upon completing this training, participants will be capable of:
Grasping the core principles of TinyML and its advantages for edge AI applications.
Configuring a development environment tailored for TinyML projects.
Training, optimizing, and deploying AI models on low-power microcontrollers.
Utilizing TensorFlow Lite and Edge Impulse to build practical TinyML solutions.
Enhancing AI models for improved power efficiency and adherence to memory limitations.
This instructor-led, live training in Athens (online or onsite) is designed for engineers seeking to master the use of embedded C for programming various microcontrollers across different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.
In this instructor-led, live training in Athens, participants will learn how to program the Arduino for real-world usage, such as to control lights, motors and motion detection sensors. This course assumes the use of real hardware components in a live lab environment (not software-simulated hardware).
By the end of this training, participants will be able to:
Program the Arduino to control lights, motors, and other devices.
Understand the Arduino's architecture, including inputs and connectors for add-on devices.
Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend the Arduino's functionality.
Understand the various options in programming languages, from C to drag-and-drop languages.
Test, debug, and deploy the Arduino to solve real-world problems.
This comprehensive course in Athens explores RISC-V architecture, assembly, Linux, FPGA, and AI applications. It tackles the global talent shortage by developing expertise ranging from ISA fundamentals to advanced SoC design. It is ideal for engineers aiming to master modern, open-source computing stacks.
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Testimonials (1)
Just getting off the ground and doing some basic things was super useful
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