King’s College London Innovation Scholars Programme

The King’s College London Innovation Scholars Programme

King’s Innovation Scholars offers multiple modules covering key skills in Big data and AI. Why not browse the catalogue of training offered and start learning today. Fees are discounted for all King’s and King’s Health Partners staff and students.

Our newest learning opportunity: Machine Learning for Health Research. Aimed at those working in clinical care, medical service provision or health research. This course will uncover the power of machine learning as we delve into the core principles, optimizing the ML pipeline, and tackling missing data. Explore decision tree models and unlock the mysteries of neural networks.

Applied AI is now live. This intermediate module aims to equip you with foundational knowledge and practical coding and engineering skills to ensure that you feel confident applying deep learning to real world health care problems.  

Aimed at those who already have working knowledge of Python and some mathematical concepts.  

R Basics with Data Carpentry. This is our most introductory R module with no prior knowledge of R or coding required. This 10 hour module is taught with a combination of lectures, parallel coding and challenges for participants to practice and self-check their own coding and learning.

For more information see our webpage for the module catalogue and the link to register and start the module. The module is run through the King’s Health Partner learning hub. 

The Innovation Scholars programme, funded by UKRI, aims to upskill health care professionals, researchers, and industry partners in their ability to use and apply big data in their work and research. There are three new modules, covering the training pillars, Health data science, ‘Omics and AI. The flexible and modular training is perfect for self paced, online learning over the summer.

For those wondering what Artificial Intelligence is and what it can do for healthcare then Demystifying AI is for you.

There are two R modules. Introduction to R for Health Research will give you a comprehensive practical and theoretical overview of R, perfect for those with no coding background but some statistics knowledge. If you want a brief introduction to R then Basic R with Data Carpentry will help you understand what R is and support you in your first steps of coding with parallel coding tutorials.

These modules are freely available to all. As we are continually developing new modules add yourself to the mailing list to be the first to know when they are released.