Accelerating Deep Learning with FPGA and OpenVINO Training Course

An FPGA (Field Programmable Gate Array) is a type of integrated circuit designed to accelerate deep learning workloads. OpenVINO, on the other hand, is an open-source toolkit used to optimize deep learning models specifically for Intel hardware.

This instructor-led, live training—delivered either online or onsite—is intended for data scientists who want to enhance the performance of real-time machine learning applications and deploy them efficiently at scale.

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

• Set up and configure the OpenVINO toolkit.
• Speed up a computer vision application by leveraging an FPGA.
• Run various CNN layers directly on FPGA hardware.
• Expand and manage the application across multiple nodes within a Kubernetes cluster.

The course is conducted through interactive lectures and discussions, enriched with numerous exercises and practical sessions, including hands-on implementation in a live lab environment.

For those interested in tailoring the training to specific requirements, please contact us to arrange a customized program.