Resource Libraries
Our curated AI Industry Resource Library is freely available to all subscribers of our platform. Enrolment to courses may include access to additional, specialised resource libraries.
Explore building a technical tariff through GLMs in R to learn the basics of non-life pricing using data science techniques through interactive Jupyter Notebooks. £300 once-off fee: 3 months' access.
£300
Discover how to use advanced techniques for non-life pricing such as regression models and calibrating machine learning models in R through interactive Jupyter Notebooks. £300 once-off fee: 3 months' access or pay monthly.
£300
Explore applications of advanced methods in non-life pricing in R, such as unsupervised machine learning algorithms and profitability and competition analysis through Jupyter Notebooks. £300 once-off fee: 3 months' access or pay monthly.
£300
This workshop offers a practical guide to performing AI risk management, discussing different guidelines for AI risk management, walking through explainability techniques and best practice, with a curated resource library. £325 for 3 months' access.
£325
Explore how Key Performance Indicators (KPIs) are impacted by IFRS 17, how to transition to new KPIs, and how to calculate KPIs under IFRS 17, supplemented by a curated resource library. £325 once-off fee: 3 months' access.
£325
Learn the fundamentals of DevOps, focused on the current techniques in designing, developing, testing, iterating, deploying, and maintaining system-based solutions, supplemented by a curated resource library. £300 once-off: 3 months' access.
£425