Self-learning courses

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.

Our Beginner’s Guide to Exascale Computing self-learning course will introduce the potential it has for businesses and the public sector.

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.

Our Mixed Language Programming: Calling C from Python self-learning course will enable you to combine the simplicity of Python with the speed of C.

Our Performance Analysis and Tools for Hartree Centre Systems self-learning course will introduce the basic concepts in performance analysis and will demonstrate multiple performance analysis tools available in the Hartree Centre Scafell Pike system.

Our Deploying and Testing Software-as-a-Service applications self-learning course will guide you through how to build a basic application.