Online or onsite, instructor-led live OpenVINO training courses demonstrate through interactive hands-on practice how to use OpenVINO toolkit for optimizing Deep Learning models on Intel hardware.
OpenVINO training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. The UK onsite live OpenVINO trainings can be carried out locally on customer premises or in NobleProg corporate training centres.
NobleProg -- Your Local Training Provider
Testimonials
It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.
Jonathan Blease
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
The trainers knowledge of the topics he was teaching.
Premier Partnership
Course: Python for Advanced Machine Learning
Having access to the notebooks to work through
Premier Partnership
Course: Python for Advanced Machine Learning
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Margaret Elizabeth Webb, Department of Jobs, Regions, and Precincts
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
Topic. Very interesting!
Piotr
Course: Introduction to Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training
Grzegorz Mianowski
Course: Introduction to Deep Learning
The topic is very interesting
Wojciech Baranowski
Course: Introduction to Deep Learning
Very flexible
Frank Ueltzhöffer
Course: Artificial Neural Networks, Machine Learning and Deep Thinking
Doing exercises on real examples using Keras. Mihaly totally understood our expectations about this training.
Paul Kassis
Course: Advanced Deep Learning
The exercises are sufficiently practical and do not need a high knowledge in Python to be done.
Alexandre GIRARD
Course: Advanced Deep Learning
The global overview of deep learning
Bruno Charbonnier
Course: Advanced Deep Learning
Coverage and depth of topics
Anirban Basu
Course: Machine Learning and Deep Learning
The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.
Jean-Paul van Tillo
Course: Machine Learning and Deep Learning
We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company
Sebastiaan Holman
Course: Machine Learning and Deep Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Course: Python for Advanced Machine Learning
Abhi always made sure we were following along. Good mix of practice and theory.
Margaret Elizabeth Webb, Department of Jobs, Regions, and Precincts
Course: Deep Reinforcement Learning with Python
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
Explore
Course: Deep Reinforcement Learning with Python
The Colab Notebooks with the training and examples notes.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The exercises were very good and interactive. Instructors were always answering all questions and providing their insight on all topics
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
lots of information, all questions ansered, interesting examples
A1 Telekom Austria AG
Course: Deep Learning for Telecom (with Python)
OpenVINO Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
35 hours
This instructor-led, live training in the UK (online or onsite) is aimed at data scientists who wish to accelerate real-time machine learning applications and deploy them at scale.
By the end of this training, participants will be able to:
- Install the OpenVINO toolkit.
- Accelerate a computer vision application using an FPGA.
- Execute different CNN layers on the FPGA.
- Scale the application across multiple nodes in a Kubernetes cluster.
Last Updated:
Upcoming OpenVINO Courses
Accelerating Deep Learning with FPGA and OpenVINO
2023-12-10 09:30
London
35 hours
Accelerating Deep Learning with FPGA and OpenVINO
2023-12-24 09:30
London
35 hours
Accelerating Deep Learning with FPGA and OpenVINO
2024-01-07 09:30
London
35 hours
Accelerating Deep Learning with FPGA and OpenVINO
2024-01-21 09:30
London
35 hours
Accelerating Deep Learning with FPGA and OpenVINO
2024-02-04 09:30
London
35 hours
Accelerating Deep Learning with FPGA and OpenVINO
2024-02-18 09:30
London
35 hours
Accelerating Deep Learning with FPGA and OpenVINO
2024-03-03 09:30
London
35 hours
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