Accelerating Deep Learning with FPGA and OpenVINO
The training focuses on advanced techniques for accelerating deep learning models using FPGAs and OpenVINO tools. The program is designed to provide participants with specialized knowledge about optimizing and accelerating model inferencing on dedicated hardware. During the intensive workshop, participants work with real implementations, learning how to optimize models for different hardware platforms and achieve maximum performance. The class combines advanced theory with hands-on experience on dedicated hardware.
Issues
The training program covers advanced topics related to deep learning model acceleration. Participants will learn about FPGA architecture, the OpenVINO toolkit, model optimization techniques, hardware programming, resource management, performance profiling and implementation best practices. Special emphasis is placed on the practical aspects of implementing and optimizing models on dedicated hardware.
Benefits
- Acceleration and optimization of deep learning models
- FPGA programming, the use of OpenVINO, optimization techniques and the implementation of optimized models
- Methods for efficient use of hardware, debugging techniques, and best practices for developing high-performance AI systems
Who is this training for?
Prerequisites
- Before starting the training, participants should have solid experience in deep learning and a basic understanding of computer architecture
- Knowledge of low-level programming is also advisable
Training program
FPGA architecture for deep learning
- OpenVINO Toolkit
- Computational models
- Hardware optimization
- Optimization of models
Quantization and compression
- Model optimization techniques
- Cross-platform deployment
- Performance profiling
- Implementation on an FPGA
FPGA workflow
- Hardware acceleration
- Resource management
- Debugging and optimization
- Implementation and integration
- Deployment scenarios
System integration
- Performance monitoring
- Production best practices
Custom layers
- Multi-device execution
- Pipeline optimization
- Heterogeneous computing
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Accelerating Deep Learning with FPGA and OpenVINO training for?
This training is designed for professionals looking to develop skills in accelerating deep learning with fpga and openvino. Required level: intermediate.
How long is the Accelerating Deep Learning with FPGA and OpenVINO training?
The training lasts 5. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.