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Training on Emerging AI Technologies
Skellig.ai’s programs are taught with a Top-Down approach, which means participants get a chance to build their own AI models from the very beginning. This gives the participants a more practical experience and improves memory retention.
Class time is precious, so we use pre-configured virtual machines to allow participants to get the most out of their time.
A comprehensive set of notebooks takes participants step-by-step through every concept covered in each practical lab to reinforce learning and ensure no step is missed.
Data Strategy For Business
Understanding the opportunity for AI in your business starts with understanding the value of your data. In our Data Strategy course, we help you understand how to bring your business into the next industrial revolution.
Our Deep Learning Course is designed to train engineers to have practical skills in Deep Learning while also helping them to feel comfortable with the underlying theory behind.
Running AI on Edge devices is essential for many IoT and autonomous applications. Our AI On Edge course shows you how to deploy your AI model directly on to an edge processor for faster and more efficient inference.
AI On Edge Devices
Who We've Worked With
We work with Intel’s Edge AI Incubator, Monaghan AI Incubator and the Sligo Local Enterprise Office to help startups build their own AI solutions.
We have worked with research institutes including the European Space Agency and Athlone Institute of Technology to help their researchers employ AI into their own fields of expertise.
To hear about our upcoming talks and courses contact us here, or check out our courses with our partner innovation hubs:
Skellig.ai helped ramp the Movidius staff on the fundamentals of Deep Learning. The quality, at both a technical and delivery level, of the Practical Deep Learning For Engineers training provided by Skellig.ai is of the highest order, and we have been delighted to avail of this training on a number of occasions. Our key need is to upskill software engineers and architects, at various levels of experience, in terms of AI modules, frameworks and toolkits, and Skellig.ai help us realise this. The attendee feedback in Intel has consistently been positive with a regular 'call out' on the practical approach and value of the training. I have no hesitation in recommending Skellig.ai for your AI training needs.
Head Of Technology Office, Intel
Strandhill Enterprise Center,