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.
Practical Guide to Neural Networks and Deep Neural Networks
Our Practical Guide to Neural Networks and Deep Neural Networks self-learning course will take you through some practical considerations to make when looking at how neural networks can be used in your business.
Machine Learning Defining Problem Scope and Assessing Model Requirements
Our Machine Learning Defining Problem Scope and Assessing Model Requirements self-learning course will walk you through building a machine learning model from start to finish.
Our How to Scale Up Your Company’s Code self-learning course will teach you how to parallelise your company’s code, enabling it to be used with high performance computing (HPC) systems.
Our Supercharge your Cloud Development Workflow self-learning course will show you how modern software engineering practices can integrate seamlessly with your development workflow.
Our Mathematical Fundamentals of Quantum Computing self-learning course will cover some of the more fundamental ideas in quantum computing, to better understand where these ideas originate.
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