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Accelerating Deep Learning with FPGA and OpenVINO

 35 Hours

This instructor-led, live training in Malaysia (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

2026-06-18 09:30
35 hours
Online
36102 MYR (Online)

Accelerating Deep Learning with FPGA and OpenVINO

2026-07-02 09:30
35 hours
Online
36102 MYR (Online)

Accelerating Deep Learning with FPGA and OpenVINO

2026-07-16 09:30
35 hours
Online
36102 MYR (Online)

Accelerating Deep Learning with FPGA and OpenVINO

2026-07-30 09:30
35 hours
Online
36102 MYR (Online)

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