Training

Practical Guide to DevOps for AI

MLOps focuses on the intersection of ML engineer and Data engineer in combination with existing DevOps practices to streamline model delivery across the machine learning development life cycle. The Objective of MLOps team is to automate the steps of machine learning life cycle into core software system.  Learning Objectives: What is DevOps?  Popular DevOps tools for Software […]

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Practical Guide to Cloud Computing

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. You will implement the theory you have previously learned to deploy virtual machines and containers to further cement your understanding of fundamental cloud concepts. […]

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Fundamentals of Cloud Computing

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, ready to be integrated into a wider architecture.  This is a practical workshop where […]

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A man speaking in front of a quantum computing visualisation on a screen.

Fundamentals of Parallel Computing

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, enabling it to be used with high performance computing (HPC) systems.    If you are […]

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