Enschede

Regus Capitool 10, Capitool 10, Enschede, Netherlands, 7521 PL

Capitool 10 is located opposite the University of Twente and only a four-minute walk from Enschede Kennispark train station. The building is located halfway between Enschede and Hengelo and is surrounded by companies that are affiliated with the university; a sought-after environment for start-ups and growing companies. In addition, you will find highways to Enschede, Hengelo and Amsterdam near the property.

Explore Our Courses

Deploying AI on Microcontrollers with TinyML

 21 Hours
This instructor-led, live training in Enschede (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.
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Advanced Embedded Systems Development

 35 Hours
This instructor-led, live training in Enschede (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).
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Arduino Programming for Beginners

 21 Hours
In this instructor-led, live training in Enschede, 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 Arduino to control lights, motors, and other devices.
  • Understand 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 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.
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Microcontroller Design

 35 Hours
This instructor-led, live training in Enschede (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.
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Raspberry Pi for Beginners

 14 Hours
Raspberry Pi is a very small, single-board computer. In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system. By the end of this training, participants will be able to:
  • Set up an IDE (integrated development environment) for maximum development productivity
  • Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
  • Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
  • Understand the various options in programming languages and operating systems
  • Test, debug, and deploy the Raspberry Pi to solve real world problems
Audience
  • Developers
  • Hardware/software technicians
  • Technical persons in all industries
  • Hobbyists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • Raspberry Pi supports various operating systems and programming languages. This course will use  Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
  • Participants are responsible for purchasing the Raspberry Pi hardware and components.
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Tensorflow Lite for Microcontrollers

 21 Hours
This instructor-led, live training in Enschede (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices. By the end of this training, participants will be able to:
  • Install TensorFlow Lite.
  • Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
  • Add AI to hardware devices without relying on network connectivity.
Read more...

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Testimonials (2)

Sean was a dynamic speaker and the hands-on exercises were very interesting and I can see how they will be really applicable.

Temira Koenig - Yeshiva University

Course - Raspberry Pi for Beginners

The aquisition of useful knowlwdge and clarification of some things I was not sure of peviously.

Kenneth Mahoney - University of Glasgow

Course - Arduino: Programming a Microcontroller for Beginners

Provisional Upcoming Courses (Contact Us For More Information)

Microcontroller Design

2025-06-30 09:30
35 hours
Enschede

Deploying AI on Microcontrollers with TinyML

2025-07-08 09:30
21 hours
Enschede

Deploying AI on Microcontrollers with TinyML

2025-07-22 09:30
21 hours
Enschede

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