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Accelerating Deep Learning with FPGA and OpenVINO

 35 Hours

This instructor-led, live training in Qatar (online or onsite) is aimed at data scientists who wish to accelerate real-time machine learning applications and deploy them at scale.

By the end of this training, participants will be able to:

  • Install the OpenVINO toolkit.
  • Accelerate a computer vision application using an FPGA.
  • Execute different CNN layers on the FPGA.
  • Scale the application across multiple nodes in a Kubernetes cluster.
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Upcoming Courses

Accelerating Deep Learning with FPGA and OpenVINO

2026-04-27 09:30
35 hours
Online

Accelerating Deep Learning with FPGA and OpenVINO

2026-05-11 09:30
35 hours
Online

Accelerating Deep Learning with FPGA and OpenVINO

2026-05-25 09:30
35 hours
Online

Accelerating Deep Learning with FPGA and OpenVINO

2026-06-08 09:30
35 hours
Online

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