Accelerating Deep Learning with FPGA and OpenVINO Training Course

An FPGA (Field Programmable Gate Array) is an integrated circuit type designed to boost deep learning workloads. OpenVINO, conversely, is an open-source toolkit dedicated to optimizing deep learning models specifically for Intel hardware.

This instructor-led, live training—available either online or onsite—is designed for data scientists seeking to improve the performance of real-time machine learning applications and deploy them efficiently at scale.

Upon completing the training, participants will be able to:

• Set up and configure the OpenVINO toolkit.
• Enhance the speed of a computer vision application by utilizing an FPGA.
• Execute various CNN layers directly on FPGA hardware.
• Scale and manage the application across multiple nodes within a Kubernetes cluster.

The course is delivered 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.