Accessible supercomputing, data science and AI training with industry in mind
Our training is application focused, designed to enable individuals, businesses and public sector organisations to take advantage of digital technologies like supercomputing, data science, AI, full stack, cloud and quantum computing to enhance processes within your organisation and provide the skills needed to thrive in a digital economy.
You might choose our self-learning modules to learn at your own pace any time, any where or book onto a live event where you can ask questions with our experts. Our team can also work with you to identify learning pathways through our course catalogue that will equip your organisation with the skills needed to take advantage of digital technologies.
Check out our available self-learning modules and upcoming live training courses below, or book a live Q&A or hands-on practical session to accompany your self-learning activity.
Fundamentals of Data Analysis Workflows: Using Workflows and Pipelines in Industry
Our Fundamentals of Data Analysis Workflows: Using Workflows and Pipelines in Industry self-learning course will introduce data analysis workflows and pipelines, which includes an exploration of data analysis phases, how to distinguish workflows from pipelines, and a tour of pipeline types.
Our Beginner’s Guide to Data Visualisation self-learning course will introduce the basics of data visualisation utilising desktop PC’s and HPC systems.
Practical Guide to Uncertainty Quantification: Modelling Real Problems with UQ
Our Practical Guide to Uncertainty Quantification: Modelling Real Problems with UQ self-learning course will present UQ concepts and approaches, using case studies to carry out hands-on investigation and discussion.
Our Beginner’s Guide to Natural Language Processing self-learning course will cover the fundamental concepts of NLP through to the applications of the resulting tools and technologies.
Our Fundamentals of Data Science Solutions self-learning course will guide you through the best metrics for assessing the performance of machine learning models.
Have you ported your applications to supercomputers and found they are not as fast as you expected? Do you want to know which sections of the application are limiting performance?
Do you have existing company or research codes that need scaling up for use on supercomputing platforms, or old codes that need updating for newer systems? Aimed at Independent Users, this course will teach you how to parallelise your company’s code
Aimed at intermediate learners, this course gives you the opportunity to secure the knowledge learned in the Beginner’s Guide to Cloud for Industry with a practical hands-on tutorial led by experts.
Aimed at independent users, this one day course will present Novel portable programming models for heterogeneous computer architectures (where the computer architecture uses more than one instruction set and so requires different programs to be written for each).
Aimed at independent users, this course in Reinforcement Learning (RL) will take you through some of the practical considerations to make when looking at how Reinforcement Learning can be used as a decision-making tool in your business.
Aimed at Independent Users, this course will take you through the full lifecycle of “model to service”, starting off with an open-source language model and going through the steps to go from a model to a fully usable deployed cloud-hosted application
Trainees from a non-related background with very little knowledge of the subject area
Learner
Trainees with some theoretical or practical knowledge within the relevant subject area
Independent User
Trainees who can work independently within the subject area but would require guidance for solving complex problems
Practitioner
Trainees actively working in the subject field, looking to investigate emerging technology developments, new techniques and/or develop collaborative multidisciplinary applications with higher levels of complexity
