Product Overview
£200.00 (ex VAT) | £240.00 (inc VAT)
Make the most of our exclusive half price offer for University of Bedfordshire students! Transform your AI and Deep Learning skills with Boston's NVIDIA-Certified Training. The current course date available is Monday 12th May.
Fundamentals of Deep Learning
NVIDIA, through partnerships and directly, offers training to give individuals and organisations what they need to advance their knowledge in AI. Boston, through its NVIDIA certified trainers, has the capability to deliver a range of NVIDIA training for data scientists.
Regular online instructor led training and onsite training which can be arranged and delivered either onsite at our partner location Winnersh near Reading, or alternatively onsite at your location upon arrangement. Please contact us to arrange. The training will be delivered as individual online workshops, adhering to and exceeding the training standards for NVIDIA certification (where applicable).
Businesses around the world are increasingly leveraging AI to address complex challenges across various industries. In healthcare, AI supports faster, more accurate diagnoses, while in retail, it enables personalised shopping experiences. Automakers are using it to enhance vehicle safety and efficiency. Deep learning, a critical AI method, employs artificial neural networks to deliver advanced accuracy in tasks like object detection and speech recognition.
This workshop offers hands-on experience with computer vision and natural language processing, teaching you how to train models and use pre-trained ones to quickly implement deep learning applications.
Why Choose Boston for NVIDIA Training?
- We offer access to Boston Labs to assist Proof of Concept work for the delivery of your own solutions
- Ongoing access to our expert trainers to help you in your journey once the workshop is complete
- Full support through NVIDIA Learning Paths including self-paced courses
- One point of management, the Boston team will arrange everything needed to achieve certification so you can concentrate on the learning you are there for
Key Features
Learn the fundamental techniques and tools required to train a deep learning model Gain experience with common deep learning data types and model architectures Enhance datasets through data augmentation to improve model accuracy Leverage transfer learning between models to achieve efficient results with less data and computation Build confidence to take on your own project with a modern deep learning framework
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