Accelerating Deep Learning with FPGA and OpenVINO Training Course

Field Programmable Gate Arrays (FPGAs) are specialized integrated circuits designed to accelerate deep learning workloads. OpenVINO, conversely, is an open-source toolkit dedicated to optimizing deep learning models for Intel hardware.

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

Upon completion of the training, participants will be able to:

• Set up and configure the OpenVINO toolkit.
• Accelerate a computer vision application by leveraging 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, supplemented by numerous exercises and practical sessions, including hands-on implementation in a live lab environment.

If you wish to tailor the training to specific organizational requirements, please contact us to arrange a customized program.