BEAR Training

We are pleased to start scheduling in-person courses, but will also continue to offer some online dates to provide a range of options to researchers.

In our new modular structure, most courses will last for a maximum of 3 hours. Online courses are also available as an alternative to our training programme and recordings of previous courses are available via our BEAR Training Recordings Canvas course.

Scheduled courses and dates
Course  Date and Time  Booking
Introduction to Linux TBC Book here
Introduction to BlueBEAR TBC Book here
Software Carpentry - Git 24th March AM - in-person Book here
Software Carpentry - MATLAB 29th & 30th March AM (attend both days) - in person Book here
Software Carpentry - Python 18th & 19th April AM (attend both days) - online Book here
Software Carpentry - R TBC Book here
NVIDIA - Fundamentals of Accelerated Computing with CUDA/C++ 6th March full day - in-person Book here
NVIDIA - Fundamentals of Deep Learning 29th March full day - in-person Book here
NVIDIA - Accelerating Data Engineering Pipelines 16th March full day - in-person Book here

Advanced Research Computing provides a variety of workshops and short courses to help researchers at the University develop their IT skills and make the most of technology available to them for their research. Introduction to BlueBEAR provides both a general introduction to high performance computing and using our HPC system BlueBEAR. Introduction to Linux gives attendees an overview of Linux commands that facilitate work on BEAR Linux systems. More information about BEAR's approach to training can be found in our current Training Strategy document.

The BEAR Carpentries Workshops teach skills that are immediately useful for researchers, using lessons and datasets that allow researchers to quickly apply what they’ve learned to their own work and become more efficient. The AI and Deep Learning workshops introduce the concepts and get researchers started on using AI and Deep Leaning.

If you sign up to any of our training courses, you agree to abide by our Training Code of Conduct. This outlines the expectations and behaviour of both our trainers and participants. Please familiarise yourself with this before attending any courses. Note that we reserve the right to cancel courses if there is not a sufficient number of bookings.

We provide links to some externally provided training and there are also special interest user groups that bring people together with common interests in research areas. If more information is required then please contact


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