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.
Our Fundamentals of Quantum Computing self-learning course will discuss some of the most famous quantum algorithms, along with practical tutorials on how to use them.
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.
Fundamentals of Cloud Computing: Introduction to Docker and GitHub Actions for ML Apps
Our Fundamentals of Cloud Computing: Introduction to Docker and GitHub Actions for ML Apps self-learning course will show you how modern software engineering practices can integrate seamlessly with your development workflow to enable effective collaboration, prevent bugs and ship fast.
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