Professional Course

Computer Vision for Embedded Systems

edX, Online
5 weeks
750 USD
Next course start
Inquire for more information See details
Virtual Classroom
5 weeks
750 USD
Next course start
Inquire for more information See details
Virtual Classroom
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Course description

Computer Vision for Embedded Systems

This course provides an overview of running computer vision (OpenCV and PyTorch) on embedded systems (such as Raspberry Pi and Jetson). The course emphasizes the resource constraints imposed by embedded systems and examines methods (such as quantization and pruning) to reduce resource requirements. This course will have programming assignments and projects proposed by the students.

Upcoming start dates

1 start date available

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  • Virtual Classroom
  • Online
  • English

Who should attend?


Knowledge of Python and Data Science or similar.

Training content

  • Overview, image data formats, OpenCV
  • Edge detection and segmentation
  • Applications of computer vision in embedded systems
  • Datasets, bias, privacy, competitions
  • Machine learning and PyTorch
  • Performance and resources (time, memory, accuracy)
  • Object detection and motion tracking
  • Data annotation and generation
  • Quantization
  • Pruning and network architecture search
  • Tree modular networks
  • Vision in context, MobileNet
  • Real-time scheduling

Course delivery details

This course is offered through Purdue University, a partner institute of EdX.

7-8 hours per week


  • Verified Track -$750
  • Audit Track - Free

Certification / Credits

What you'll learn

  • i. Use computer vision to analyze images.
  • ii. List the constraints of embedded systems.
  • iii. Explore design space of computer vision.
  • iv. Evaluate different methods for accuracy/time tradeoffs.

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141 Portland Street
02139 Cambridge Massachusetts


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