Self-Paced Learning

Our online courses for self-paced learning allow you to learn at your own pace, at a time and place that is convenient to you.

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Introductory

Beginner’s Guide to Cloud for Industry

Our Beginner’s Guide to Cloud for Industry self-learning course will help you discover cloud computing at your own pace.

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Introductory

Beginner’s Guide to High Performance Computing

Our Beginner’s Guide to High Performance Computing self-learning course will help you discover HPC at your own pace.

Introductory

Beginner’s Guide to Artificial Intelligence

Our Beginner’s Guide to Artificial Intelligence self-learning course will help you discover AI at your own pace.

Introductory

Beginner’s Guide to Exascale Computing

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

Introductory

Beginner’s Guide to Natural Language Processing

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.

Independent User

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.

Independent User

Fundamentals of Data Science Solutions

Our Fundamentals of Data Science Solutions self-learning course will guide you through the best metrics for assessing the performance of machine learning models.

Learner

Practical Guide to Geospatial Data

Do you want to learn how to use massive geospatial data (for example weather, climate and satellite data) to provide insightful information for business operations or planning? In this Learner level course, we will introduce you to visualising and exploring geospatial data insights, as well as automating machine learning and simulation models.

This course is CPD accredited

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Learner

Practical Guide to using AI for Omics Data

Are you an employee or business currently working with omics data? Are you looking for potential technological solutions to over data challenges?  Aimed at those who have working knowledge of omics data or foundational knowledge of AI with omics, looking to upskill their technological knowledge for their work, this Learner level course provides a hands-on guide to how AI can be used to ease the pressure of large and complex omics dataset