Cambridge

Compass House, Cambridge, united kingdom, CB24 9AD
Vision Park is within easy reach of Cambridge city centre and has the advantage of excellent links with the M11 and A14. ...

Explore Our Courses

Advanced Embedded Systems Development

 35 Hours
This instructor-led, live training in Cambridge (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 Cambridge, 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 Cambridge (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 Cambridge (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.
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Testimonials (2)

The trainer was very interactive and steadily paced.

Carolyn Yaacoby - Yeshiva University
Course - Raspberry Pi for Beginners

Just getting off the ground and doing some basic things was super useful

Remy Pieron - Facebook
Course - Arduino Programming for Beginners

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