Fundamentals of Neural Networks and Deep Neural Networks
Aimed at independent users, this course in artificial intelligence (AI) and neural networks will take you through some of the practical considerations to make when looking at how neural networks can be used in your business.
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
Fundamentals of Quantum Computing
Do you want to learn how calculations are performed on quantum computers, with practical examples on simulators and real hardware?
Practical Guide to Uncertainty Quantification
Uncertainty Quantification (UQ) is a method that supports more reliable decision making across a variety of industries – from healthcare and transport to finance and energy.
Practical Guide to Data Engineering
Navigating the variety of solutions in the data engineering space can be overwhelming. There are many choices that cover a wide variety of use-cases depending on the volume, variability and velocity of your data, and the technical language and claims made by technology vendors can be a barrier to understanding.
Quantum Computing for Natural Sciences: Technology and Applications
This full-day workshop on quantum computing for natural sciences is aimed at providing participants with a comprehensive overview of the latest advancements in quantum information processing methods and their potential applications in fundamental physics, chemistry, materials and life sciences.