Fundamentals of DevOps for Actuarial Data Science (D1)

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.

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£425 once-off with assignment (3-month access)

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Introduction

An individual subscription gives you 3 months’ online access to:

  • Course materials
  • A personal coding environment through Jupyter Notebooks
  • Discussion forums to engage and collaborate with like-minded individuals
  • Option to ask tutors questions through forums and Q&A sessions
  • Hands-on practical examples linked to actuarial work
  • On demand access

As Well As

Our Data Science Resource Library which features Actuartech and Industry specific curated additional content to assist you on your data science journey.

You can also request to do the online project; and if successful a course completion certificate could be issued.

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Someone working on an online course at their desk.

Pick from any of our introductory or advanced courses with bespoke insurance and actuarial specific case studies.

Our platform is easy to use and offers detailed guides, with course content and downloadable Notebooks offering code and explanations, enabling you to apply data science hands-on.

We provide case studies and projects relevant to actuarial work, and based on relevant datasets provided. You have the option to interact and network with your peers.

Overview

  • DevOps provide the ability to combine software development and business operations to develop optimal solutions.
  • Within an actuarial team; it is essential to understand DevOps; and to utilise the right technology and methods; in a risk-controlled way.
  • Our course covers the fundamentals of DevOps; including an introduction to agile software development considerations; in the context of actuarial work.
  • The objectives of this course are to show:some text
    • The benefits of applying DevOps principles in an actuarial context
    • DevOps in the context of actuarial work including:some text
      • How to develop system-based solutions from requirements through to release
      • Current techniques in designing, developing, testing, iterating, deploying and maintenance of system-based solutions
    • Tips to write high-quality, high performance, maintainable code
    • Ways to ensure quality, maintainability, and security of code
    • An introduction to containerised microservices
    • Agile software development considerations
  • Some of the technologies that will be explored:some text
    • Programming languages: Python
    • IDEs and distributors: Anaconda, Spyder, VS Code, PyCharm, Jupyter Notebook, and JupyterLab
    • Environments and library tools: Conda, PyEnv, Pip, PyPI and GitHub
    • Versioning tools: Git, Gitlab, GitHub, and Bitbucket
    • Applicative and dashboarding frameworks: Flask, FastAPI, Streamlit and Dash
    • Cloud software: Amazon Web Services (AWS)
    • CI/CD: Jenkins and GitLab CI/CD
    • Other: Docker, unittest, pytest, Terraform and AutoML etc.
  • This course is suitable for those looking for an understanding of the Fundamentals of DevOps including:some text
    • Actuarial or other business technical teams involved in solution design; development; deployment and/or maintenance related to actuarial work
    • IT or infrastructure resources involved in supporting actuarial teams
    • Technical resources who have started their data science journey and are looking for best practice techniques in developing solutions; that could also support better engagement with IT or infrastructure teams
    • Individuals with some data science knowledge wishing to understand how data science can further enhance their operations; including the infrastructure required to do that
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Fundamentals of DevOps for Actuarial Data Science

Sign up for a free preview of this introductory DevOps course

Free Preview

Preview

£425 once-off with assignment (3-month access)

Enroll Today

Course Structure

In Chapter 1, Actuaries facing the modern world, we provide an overview of the actuarial journey and introduce the tools and technologies actuaries use nowadays.

Chapter 2, Initiate first steps: planning and requirements and we discuss the typical challenges and considerations of DevOps, including coding challenges, data and model issues, and project management, deployment, and continuity issues.

Chapter 3 covers Design and Set-Up by providing an overview of Python, programming best practices, environments, and versioning.

In Chapter 4 we Develop, Test, and Wrap it Up by discussing data, modelling, and technical tests, documentation, and we showcase how to expose your work through APIs with examples in Flask, FastAPI, Streamlit, and Dash.

Chapter 5, Structure, Iterate, and Go Further, we cover Docker, deployment (with an example of AWS), continuous integration, and further XOps tasks and offer solutions for formalisation and management.
The Appendix contains a glossary and additional readings to assist you on your data science journey.

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Who's this course suitable for?

This course is suitable for those looking for an understanding of the fundamentals of DevOps including:

  • actuarial teams involved in solution design; development and maintenance
  • non-actuarial teams involved in actuarial work
  • any data scientist, close to the actuarial science field who wants to understand common actuarial approaches; and
  • any insurance, reinsurance or broker professional involved in modelling or risk management topics, that wants to improve methodologies related to AI projects

Why is this topic important?

  • Actuarial teams are becoming even more data-driven through the use of advanced modelling techniques. 
  • DevOps provides the ability to combine software development and business operations to develop optimal solutions.
  • Actuaries need to adapt to this new paradigm to keep pace, and learn the software development and IT skills required by actuarial teams.
  • This course aims to introduce the fundamentals around the concepts and important considerations in each stage of the development operations cycle, accompanied by introductory examples; in the context of actuarial work.

The course was just what I needed to rocket launch my learning of Python up the learning curve.

The course was brilliant value for money. You and your colleagues know a lot about Python, and are very patient in explaining it to newcomers like me.

Thank you for an incredibly insightful but so, so practical (think often the missing ingredient) presentation of this topic, that we are all grabbling with. Your experience and expertise shone through and certainly a testament to the stellar work that you guys are doing in the industry.

I’m in the process of reviving my actuarial career. The data science course has given me lots of new ideas and things to try. You have inspired me. Thank you so much for putting it together. I think it’s amazing!

I liked the fact that the course was a mixture of coding itself, and wider issues such as governance / ethics / good practice.

Get started

Fundamentals of DevOps for Actuarial Data Science

Sign up for a free preview of this introductory DevOps course

Free Preview

Preview

£425 once-off with assignment (3-month access)

Enroll Today

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