Accelerating Deep Learning with FPGA and OpenVINO Training Course

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

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

Upon completing this training, participants will be able to:

• Set up and configure the OpenVINO toolkit.
• Accelerate 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 features interactive lectures and discussions, complemented by numerous exercises and practical sessions, including hands-on implementation in a live lab environment.

If you wish to customize the training to meet specific requirements, please contact us to arrange a tailored program.