Accelerating Deep Learning with FPGA and OpenVINO Training Course

An FPGA (Field Programmable Gate Array) is a specialized integrated circuit designed to accelerate deep learning workloads. OpenVINO, meanwhile, is an open-source toolkit optimized for deploying deep learning models on Intel hardware.

This instructor-led live training, available either online or on-site, is designed for data scientists seeking to boost 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.
• Accelerate computer vision applications by leveraging FPGAs.
• 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, supported by numerous exercises and practical sessions, including hands-on implementation in a live lab environment.

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