What is Skellig.ai

At Skellig.ai we provide training and prototyping in cutting edge AI systems. We work with businesses in realising their data resources and exploiting the opportunity for AI in their organisations.


Our vision is that progress is best achieved when AI tools are accessible to all fields of expertise. In supporting this, we offer training from a strategy level, where we show you the real opportunity for AI in your business. We also provide technical workshops, where your engineers learn how to build state-of-the-art AI to deliver real value to your business.

Skellig.ai is bringing the latest deep learning techniques to where they can make an impact.

Community Programs
  • We run community programs to help programmers who are committed to upskilling in ML.

  • Live coding sessions give participants guided hands-on experience.

  • The programs are funded/supported by sponsors to help enthusiastic engineers expand their skill sets into machine learning.

  • Programs are typically limited to 10-20 participants.

  • If you would like to find out more about getting involved as a participant or a sponsor contact us here.

Corporate Programs

We upskill your engineers with the latest machine learning technologies and solve the problems unique to your business.

  • Bespoke live coding training sessions give your engineers hands on experience.

  • Through project based training we can build out solutions for you, then work directly with your engineers to upskill them with the skills needed to implement the solutions.

Interested in finding out more? 
Begin Your Data Journey
30 min
Technologies We Use
Who We've Worked With

Conor Heffernan,

Project Manager

Skellig.ai has really helped improve our analytics at Edge. Personally this has been the best investment since college

Shane O'Moore,

Solutions Developer

The live coding sessions were a great help for learning how to build machine learning models, real hands on experience.

Albert Bennett

Software Developer

I found Skellig.ai to be a great way to build up a functioning understanding of machine learning.