Online Certificate

Generative AI for Insurance in Financial Services

AI and insurance are becoming inseparable. The success of insurance professionals will increasingly depend on their ability to utilise Generative AI. In just 15 minutes per day, over 6 weeks, you will learn how to apply AI and Generative AI to various insurance processes, enhancing efficiency and accuracy in underwriting, claims processing, customer service, and risk assessment.

Enroll Immediately

15 minutes per day

6 weeks

Certificate of achievement

Hands-on Projects

A programme part of the AI in Finance Academy, training +20,000 professionals across organisations.

Why Generative AI in Insurance? Why Now?

The success of insurance professionals will increasingly depend on their ability to utilise Generative AI. Our programme equips insurance professionals with the skills to leverage Generative AI tools in enhancing efficiency and accuracy in underwriting and claims processing.

$ 0 B

Global AI in the insurance industry anticipated to generate this by 2031
(Allied Market Research, 2023)

0 %

Insurance industry leaders who say AI will significantly improve customer service in 3 years. (Statista, 2024)

0 %

Artificial Intelligence can help Insurers cut cost by up to this percentage. (Statista, 2023)

AI enables insurers to enhance their value proposition by better predicting and therefore preventing risks

Participants will learn how to integrate Artificial Intelligence, machine learning, and large language models to improve customer service, perform risk assessments, and manage risks effectively.

This programme is designed to enhance customer satisfaction, support underwriting processes, drive innovation in financial services and insurance companies through integrating generative AI with existing insurance practices.

What you'll learn

30+ constantly updated courses

Enable you to stay up to date in the industry

Industry recognised certification

Get the accredited certificate issued by trusted organisation

Hands-on projects for practical uses

Learn how to use generative AI tools in Insurance.

Join the gobal community

Lifetime access to community with 10K visionaries.

Learning outcomes

Learn how to utilise Generative AI to streamline the underwriting process, improving accuracy and reducing processing time.

Understand how to apply AI techniques to automate claims handling, ensuring faster and more precise claim resolutions.

Gain the ability to leverage AI for more accurate risk assessment and pricing, leading to better risk management and underwriting decisions.

Discover how to integrate AI-driven tools to enhance customer service experiences, providing personalised and timely responses to client inquiries

Master the use of Generative AI to detect fraudulent activities and ensure compliance with regulatory requirements, safeguarding the integrity of insurance operations.

Skills you’ll get

Programme Highlights

1. Get a solid foundation of Generative AI

15-min lessons per day, over 6 weeks

GenAI landing page image (2)
Expert banner for Course instructor for Generative AI in Insurance, Shonali Krishnaswamy

2. Learn directly from the CTO at AIDA Technologies Pte Ltd

Learn Gen AI in Insurance from Shonali Krishnaswamy, a seasoned expert with extensive expertise in AI and Machine learning and Intelligent Systems.

3. Learn real-world applications and use cases and apply in your organisation

Grasp the latest industry insight from the best minds in AI and learn how to use it with 7+ hands-on projects.

Featured image for Innovation used to represent insurance

4. Explore successful Generative AI initiatives

Learn how companies in the Insurance industry have adopted Generative AI to increase customer satisfaction by offering more personalised insurance services at scale.

Programme content

15-minute lesson per day over 6 weeks. Aquire all the skills for Generative AI.

The curriculum covers the use of virtual assistants for real-time customer interactions, fraud detection, and cost savings strategies within the insurance industry. By mastering these techniques, professionals can stay current, stand out from peers, and maximise their impact within insurance teams.

Week 1: Generative AI Fundamentals

This week explores the definition, the inner mechanisms, and the evolution of Generative AI.

  • Day 1: Definition of Generative AI
  • Day 2: Differences between traditional Machine Learning and Generative AI
  • Day 3: Transformers: a revolutionary breakthrough
  • Day 4: Scaling transformers
  • Day 5: LLMs as a new human/machine interface

Week 2: The Landscape of Generative AI

This week discusses the Generative AI landscape and key players such as infrastructure providers, model providers and application providers. 

  • Day 6: Model providers
  • Day 7: Infrastructure providers
  • Day 8: Application providers
  • Day 9: Hands-on project: Getting started with ChatGPT and Customer Personas
  • Day 10: Hands-on project: Analysing & extracting information from PDF Reports with AI

Week 3: Current landscape of Gen AI in Insurance

This week explores the insurance domain and compares traditional insurance approaches with AI-driven methods.

  • Day 11: Introduction and background of Insurance
  • Day 12: Challenges in Insurance
  • Day 13: Traditional approaches vs AI-driven approaches in Insurance
  • Day 14: Current landscape of Generative AI in Insurance
  • Day 15: Expert interview: TBC

Week 4: Applications and use cases of Gen AI in Insurance

This week discusses Generative AI applications and current initiatives and use cases in Insurance.

  • Day 16: Applications of Generative AI in Insurance (1/2)
  • Day 17: Applications of Generative AI in Insurance (2/2)
  • Day 18: Case studies (1/2)
  • Day 19: Case studies (2/2)
  • Day 20: Expert interview (TBC)

Week 5: From Theory to Practice - Practical Approach

This week focuses on practical applications of generative AI tools in Insurance. Projects include using AI for underwriting, personalised customer service and risk assessment

  • Day 21: Navigate key Generative AI tools
  • Day 22: Understanding the Prompt Engineering
  • Day 23: Use Case 1
  • Day 24: Use Case 2
  • Day 25: Use Case 3
  • Day 26: Use Case 4

Week 6: Opportunity and risk in Insurance

This week examines the advantages and key success factors of implementing AI in Insurance and teaches the privacy and data usage in Generative AI in Insurance

  • Day 27: Advantages / Key Success Factors of AI implementation in Insurance
  • Day 28: Impact and assessment
  • Day 29: Data, Risk, Privacy and Ethical considerations
  • Day 30: Changes in skills

About the lecturers

Huy Nguyen Trieu

Co-founder and Programme Director, CFTE; Former Managing Director, Citi

Huy Nguyen Trieu is the Co-Founder of CFTE and CEO of The Disruptive Group, an advisory firm in innovation and finance. He is also a Venture Partner at Mundi Ventures, a VC fund in Fintech and Insurtech. Passionate about upskilling, Huy co-founded CFTE to help people improve their skills in a tech-driven world. Previously, he was a Managing Director at Citi, and held roles at Royal Bank of Scotland and Société Générale. Huy also led Ukibi, a VC-funded startup in the US.

Shonali Krishnaswamy

Expert in AI and Machine Learning, Mobile and Distributed Analytics, Intelligent Systems. CTO at AIDA Technologies Pte Ltd

Dr. Shonali Krishnaswamy is the Chief Technology Officer at AIDA Technologies, a leading AI and machine learning company in Singapore. With a Ph.D. in Computer Science from Monash University, she has held significant roles such as Head of Data Analytics at A*STAR and Associate Professor at Monash University. Her career spans over 15 years in data science and intelligent systems, during which she has published over 150 research papers and led one of Singapore’s largest analytics teams.

Dr. Krishnaswamy has received numerous accolades, including the Institute of Engineers Singapore Prestigious Engineering Award and the ASEAN Outstanding Engineering Award, and was named one of Singapore’s Inaugural 100 Women in Technology in 2020

Portrait of Shonali

Programme Details

Starts date
Enrol immediately

Programme Tuition

Program Format
100% online, self-paced

What did our alumni say?

Who should take the programme?

Professionals in Financial institutions, Central Banks, Fintech Companies, Startups, Insurance companies and more across these roles: 

  • Underwriters
  • Claims Adjusters
  • Risk Analysts
  • Insurance Brokers
  • Fraud Investigators
  • Compliance Officers

Earn an industry-accredited certificate

Certificate template for generative AI in insurance

Receive a Certificate in Generative AI issued by CFTE. The certificate online can serve as a stepping stone to further advancement in your career. Don’t miss this opportunity to stand out in your field.

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Learn Generative AI for Insurance in Financial Services

Pre-enrol with 40% discount

The programme will start on 1st of September


Enrol now

£ 270

Apply the code to claim the discount: genai40insurance

For GenAI360 Alumni

£ 225

Generative AI 360 Alumni only

Pricing includes:

  • 6 chapters and 4 hours of expert content
  • Guest experts video
  • 7+ Hands-on projects
  • 10+ Handbooks
  • Glossary
  • Lifetime access to global community
  • Accredited Certificate (In progress)

Mode of payment.
We accept all major credit cards and debit cards.

Get reimbursed by your employer. 
Speak to your manager about the course, and get a reimbursement by your employer. Here is how you can do it (with a template provided). 

You can choose to pay the full amount, or you can opt for a 2-part payment plan option. The 2-part payment option requires one payment upfront, followed by second during your course.

Looking to upskill your organisation? Talk to us.

Interested in training your organisation or sponsoring the course? Contact our team and get more information on the programme.


Most frequent questions and answers about our specialisation

What is the course about?

The course is an online certificate programme designed to empower professionals and institutions with skills to use and leverage generative AI in Insurance.

The course is self-paced, featuring 15-min daily lessons over 6 weeks with hands-on projects, case studies and industry expert interviews. 

The course content covers fundamentals of generative AI, the landscape of generative AI in Insurance, current and future applications in Insurance, and risk management and regulation​.

Why this course?

Participants will gain in-depth knowledge of generative AI, understand its applications and underlying mechanisms, and learn about global trends and know how to integrate AI in their organisations.

The course is designed for professionals in Insurance who want to enhance productivity and stay competitive in their jobs.

Accessing this course

Participants can immediately enrol the course, costing £450.

  • Mode of payment– We accept all major credit cards and debit cards.
  • Instalments – You can choose to pay the full amount, or you can opt for a 2-part payment plan option. The 2-part payment option requires one payment upfront, followed by second and third during your course. Contact our team at for more information.
  • Get reimbursed by your employer. Speak to your employer and get funded for your learning! Here’s how we can help.

You will have access to the course for 6 months from enrolment. This duration is set to ensure you can pace yourself for the best learning outcome. Though not a common request, you can talk to us if you need an extension of the access after the 6 months are up.

Yes, you will receive a digital certificate upon successful completion of the course. This certificate is digital so it can be shared at any time and embedded into your online professional profile.

If you decide within one week after enrolling in the course (or 5% of completion) that it’s not the right fit for you, we will issue a full refund.

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