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CFTE

Generative AI for Insurance in Financial Services

  • up to 6 weeks
  • Intermediate

This course equips insurance professionals with the skills to leverage Generative AI tools, enhancing efficiency and accuracy in underwriting, claims processing, customer service, and risk assessment. In just 15 minutes per day over 6 weeks, you will learn practical applications of AI in the insurance industry.

  • Generative AI Fundamentals
  • AI in Insurance
  • Risk Assessment
  • Claims Processing
  • Customer Service

Overview

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. The course covers practical applications, hands-on projects, and real-world use cases to ensure learners can apply their knowledge directly in their roles.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Underwriters

Professionals responsible for evaluating and analyzing the risks involved in insuring people and assets.

Claims Adjusters

Individuals who investigate insurance claims to determine the extent of the insuring company's liability.

Risk Analysts

Experts who assess the financial risks and develop strategies to minimize those risks.

This course offers key benefits such as enhanced underwriting efficiency, improved claims processing, and advanced risk assessment. It covers essential AI skills and concepts tailored for insurance professionals, helping them stay competitive and innovative in their field.

Pre-Requisites

1 / 3

  • Basic understanding of insurance processes and terminology.

  • Familiarity with AI concepts and applications.

  • Proficiency in using digital tools and platforms.

What will you learn?

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
Understanding what Generative AI is and its basic principles.
Day 2: Differences between traditional Machine Learning and Generative AI
Comparing traditional machine learning techniques with Generative AI.
Day 3: Transformers: a revolutionary breakthrough
Exploring the role of transformers in AI advancements.
Day 4: Scaling transformers
Understanding how transformers can be scaled for better performance.
Day 5: LLMs as a new human/machine interface
Learning about Large Language Models and their applications.
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
Identifying key model providers in the Generative AI space.
Day 7: Infrastructure providers
Understanding the role of infrastructure providers in AI.
Day 8: Application providers
Exploring various application providers and their offerings.
Day 9: Hands-on project: Getting started with ChatGPT and Customer Personas
Practical project on using ChatGPT for customer interactions.
Day 10: Hands-on project: Analysing & extracting information from PDF Reports with AI
Using AI to analyze and extract data from PDF reports.
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
Overview of the insurance industry and its key components.
Day 12: Challenges in Insurance
Identifying and understanding the challenges faced by the insurance industry.
Day 13: Traditional approaches vs AI-driven approaches in Insurance
Comparing traditional methods with AI-driven approaches in insurance.
Day 14: Current landscape of Generative AI in Insurance
Exploring the current use and impact of Generative AI in insurance.
Day 15: Expert interview: TBC
Insights from an industry expert on AI in insurance.
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)
Exploring various applications of Generative AI in the insurance sector.
Day 17: Applications of Generative AI in Insurance (2/2)
Continuing the exploration of AI applications in insurance.
Day 18: Case studies (1/2)
Reviewing case studies of AI implementation in insurance.
Day 19: Case studies (2/2)
Further case studies on AI in insurance.
Day 20: Expert interview (TBC)
Additional insights from an industry expert.
Week 5: From Theory to Practice - Practical Approach
This week focuses on practical applications of generative AI tools in Insurance.
Day 21: Navigate key Generative AI tools
Learning to use essential Generative AI tools.
Day 22: Understanding the Prompt Engineering
Mastering the art of prompt engineering for AI models.
Day 23: Use Case 1
Practical application of AI in underwriting.
Day 24: Use Case 2
Using AI for personalized customer service.
Day 25: Use Case 3
AI applications in risk assessment.
Day 26: Use Case 4
Further practical applications of AI in insurance.
Week 6: Opportunity and risk in Insurance
This week examines the advantages and key success factors of implementing AI in Insurance.
Day 27: Advantages / Key Success Factors of AI implementation in Insurance
Understanding the benefits and success factors of AI in insurance.
Day 28: Impact and assessment
Assessing the impact of AI on the insurance industry.
Day 29: Data, Risk, Privacy and Ethical considerations
Exploring data privacy, risk, and ethical considerations in AI.
Day 30: Changes in skills
Understanding the evolving skill requirements in the AI-driven insurance industry.

What learners say about this course

  • “The content was really relevant. I really liked that it gave a lot of examples on how AI can be applied in the industry, the companies that are successful implementing AI and high level view on what AI is really about.”

    Magdalene Loh

    Senior Vice President and Head of Innovation at Prudential Singapore

  • “The interviews covered in the course introduced the insights that are very important from those with 20+ years experience professionals.”

    Priscilla Cournede

    Deputy Director at Life Reinsurance at Covéa

  • “Since I finished the course, I raised suggestions to my team to integrate different technologies and AI in the different parts of the organisation.”

    Goh Theng Kiat

    Chief Customer Officer at Prudential Singapore

Meet your instructors

  • Huy Nguyen Trieu

    Co-founder, CFTE

    Huy Nguyen Trieu is the co-founder of CFTE, a global FinTech education platform. He is also an entrepreneur, investor, and banker with experience at Citi and Oxford.

  • Shonali Krishnaswamy

    Chief Technology Officer, AIDA Technologies Pte Ltd

    Shonali Krishnaswamy is the Chief Technology Officer at AIDA Technologies Pte Ltd. AIDA Technologies is a Singapore-based company that focuses on predictive analytics and intelligent systems.

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£270