Courses

Actuartech courses cover a wide range of topics in the field of actuarial technology including R, Python, IFRS 17 and more. Learn more about the course content below, and sign up for a free preview of any of our premium paid courses.

AI
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Featured

Basics of NLP and Natural Language Models

Discover how Natural Language Processing, Large Language Models, and Generative AI can transform actuarial work. This hands-on course explores foundational concepts, real-world use cases, and strategic implementation techniques. Designed for insurance professionals, it provides practical tools to integrate AI into workflows, enabling innovation in underwriting, modelling, and beyond.

General
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Application
AI
Python
Featured
Featured

Visualisations and Dashboarding in Python

Discover how to use visualisation techniques in Python to present key messages from complex data with hands-on examples, including building a dashboard to identify patterns and trends present.
General
false
Application
AI
AI Risk Management
Featured
Featured

An Introduction to AI Risk Management

Learn how to manage risks associated with artificial intelligence (AI) in an actuarial context, with a focus on machine learning.

General
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Risk Management
AI
General
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Featured

Fundamentals of Machine Learning

In this course, we will explore the fundamentals of machine learning in the context of actuarial work, including exploring considerations when applying ML, actuarial use cases of various software packages, and actuarial case studies utilising ML.
General
Non-life Insurance
Life Insurance
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Application
AI
IFRS 17
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Featured

A Practical Guide to KPIs under IFRS 17

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.
Life Insurance
Non-life Insurance
General
true
IFRS 17
DevOps
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Featured

Fundamentals of DevOps for Actuarial Data Science

Learn the fundamentals of DevOps to develop system-based solutions and understand the current techniques in designing, developing, testing, iterating, deploying, and maintaining system-based solutions.

Life Insurance
Non-life Insurance
General
true
Solutionising
AI
SQL
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Featured

Foundations in SQL

Learn the fundamentals of SQL through interactive Jupyter Notebooks, discover basic and complex SQL functionalities, data manipulation, and overall data management tools & techniques.
Life Insurance
Non-life Insurance
General
false
Getting Started
AI
R
Featured
Featured

Other Practical Applications of Machine Learning in Non-Life Insurance

Explore applications of advanced methods in non-life pricing in R, such as unsupervised machine learning algorithms and profitability and competition analysis through Notebooks.
Non-life Insurance
false
Application
AI
R
Featured
Featured

Advanced Methods of Non-Life Pricing in R

Discover how to use advanced techniques for non-life pricing such as regression models and calibrating machine learning models in R through Notebooks.

Non-life Insurance
false
Application
AI
R
Featured
Featured

Visualisations Conceptual Introduction

We introduce the benefits of data visualisation and types of visualisations and discuss the considerations and challenges linked to visualisations, before taking a brief look at some tools, platforms, and real-life examples.
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R
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Featured

Introduction to Data Science in Insurance

In this introduction of data science in insurance, we discuss data analysis and data sources and provide an overview of some data science techniques, before touching on the ethical considerations in data science and giving examples of the application of data science in insurance.
General
Non-life Insurance
Life Insurance
false
Python
Featured
Featured

Lapse Experience Analysis Python

Discover how to use advanced techniques in Python, including fitting regression and classification machine learning models, data cleaning, feature engineering, preliminary visualisations, and reporting to investigate lapse rates in this end to end walkthrough.
Life Insurance
false
Application
AI
IFRS 17
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Featured

Introduction to IFRS 17: Hands On Training

Discover how to interpret the principal requirements of IFRS 17 through learning the basics of IFRS 17, including measurement models, terminology, and hands-on calculations.

General
Life Insurance
Non-life Insurance
true
IFRS 17
Python
Featured
Featured

Motor Pricing and Reserving in Python

Explore utilising advanced data science techniques in the context of pricing and reserving, including traditional actuarial methods, and data cleaning, in this end to end walkthrough of predicting the frequency of claims for non-life insurance contracts to assess risk.
Non-life Insurance
false
Application
AI
Python
Featured
Featured

Mortality Forecasting in Python

Discover how to use advanced techniques in Python, including time series analysis and the Lee-Carter model, data cleaning, and visualisations to forecast mortality rates in this end to end walkthrough of mortality modelling.

Life Insurance
false
Application
AI
Python
Featured
Featured

Foundations in Python

Learn the fundamentals of Python through interactive Jupyter Notebooks, discover data management tools & techniques, statistical packages, and explore regression analysis, building your first model, validation and visualisation.

General
Life Insurance
Non-life Insurance
false
Getting Started
AI
R
Featured
Featured

Basics of Non-life pricing in R

Explore building a technical tariff through GLMs in R to learn the basics of non-life pricing using data science techniques through Notebooks.

Non-life Insurance
false
Application
AI
R
Featured
Featured

Visualisations Deep Dive in R

Discover how to use visualisation techniques in R to present key messages from complex data with hands-on examples, including building a dashboard to aid in identifying the impact, patterns, and trends present in a complex dataset.
General
Life Insurance
Non-life Insurance
false
Application
AI
R
Featured
Featured

Mortality Experience Analysis in R

Discover how to use advanced techniques in R, including fitting various machine learning models, data cleaning, and visualisations to understand the drivers of mortality in this end to end walkthrough of mortality modelling.

Life Insurance
false
Application
AI
R
Featured
Featured

Lapse Experience Analysis in R

Discover how to use advanced techniques in R, including fitting regression and classification machine learning models, data cleaning, feature engineering, preliminary visualisations, and reporting to investigate lapse rates in this end to end walkthrough.

Life Insurance
false
Application
AI
R
Featured
Featured

Foundations in R

Learn the fundamentals of R through downloadable Notebooks, discover data management tools & techniques, statistical packages, and explore regression analysis, building your first model, validation, and visualisation.

General
Life Insurance
Non-life Insurance
false
Getting Started
AI
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Category
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