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5-Day Training Course

Artificial Intelligence in Insurance

Transforming Insurance Automation and Innovation

Course Overview

This Artificial Intelligence in Insurance training course explores the transformative impact of Artificial Intelligence (AI) across the insurance value chain, equipping professionals with knowledge and tools to navigate a rapidly evolving landscape. You will gain insight into how AI is reshaping risk identification, underwriting, claims processing, and the development of innovative insurance products and services.  Among the innovations to be discussed, you can examine the growing role of ecosystems, embedded insurance, and data-driven personalization in modern insurance delivery.

A strong focus will be placed on the actuarial implications of AI, as well as the legal, regulatory, and ethical considerations that arise from automation, algorithmic decision-making, and data privacy concerns. ESG (Environmental, Social, and Governance) perspectives will be embedded throughout, highlighting how AI can support responsible insurance practices and inclusive growth.  Through a blend of expert-led presentations, interactive discussions, and practical case studies, attendees will explore cutting-edge applications such as AI-driven fraud detection, digital distribution methods, predictive analytics, and customer engagement tools. The course is ideal for insurance executives seeking to harness AI for strategic advantage, operational efficiency, and long-term resilience in a competitive and tech-driven market and at the same time to train the operations for adaptation and resilience.

This Energy Training Centre training course will highlight: 

  • The transformative impact of Artificial Intelligence across the insurance value chain
  • How AI enhances underwriting accuracy, risk assessment, and claims management
  • The development of new products, services, and embedded insurance models
  • AI’s role in detecting fraud, improving safety, and promoting customer engagement
  • Legal, actuarial, and ESG implications of AI in insurance operations
  • Practical case studies on ecosystem integration and AI-powered distribution methods

Course Objectives

This Artificial Intelligence in Insurance training course is designed to equip participants with practical knowledge and strategic insight into the applications of Artificial Intelligence (AI) in the insurance industry. 

At the end of this training course, you will learn to: 

  • Understand AI’s role in modern insurance
  • Analyse AI-driven risk and underwriting models
  • Apply AI tools in claims and fraud detection
  • Evaluate legal, actuarial, and ESG implications
  • Design AI-enabled insurance products and services

Training Methodology

The training course will use a dynamic mix of interactive lectures, real-life case studies, group discussions, and practical exercises to enhance learning and engagement. Expert facilitators will guide participants through AI applications using demonstrations and scenario-based analysis. Hands-on activities will reinforce key concepts and encourage critical thinking. Participants will also benefit from peer learning and collaborative problem-solving. The approach ensures both theoretical understanding and practical skill.

Who Should Attend

This Artificial Intelligence in Insurance training course is suitable for a wide range of professionals across the insurance value chain involved in digital transformation, product development, or risk management. It is especially relevant to those seeking to integrate AI into their strategic, operational, or technical roles. 

This training course is suitable for a wide range of professionals but will greatly benefit: 

  • Insurance professionals involved in underwriting, claims, and product development looking to enhance decision-making using AI
  • Risk and compliance officers seeking to understand AI’s implications on governance, ethics, and regulatory compliance
  • Actuarial and data analytics teams aiming to apply AI in modelling, forecasting, and risk pricing
  • Technology and innovation leaders responsible for digital transformation and AI integration in insurance processes
  • Brokers, reinsurers, and financial services professionals exploring AI-driven business models and ecosystem partnerships

Course Curriculum

  • Introduction to AI in Insurance
  • How digital transformation alters traditional risk models
  • Regulatory compliance for AI models, and consumer protection
  • Incorporating AI-generated data into pricing models and actuarial projections
  • Impact of GDPR and ethical use of customer data in insurance AI models
  • AI as a tool for environmental risk modeling and supporting social inclusion
  • Automated Risk Assessment
  • Use of lifestyle, wearable, and telematics data in personalizing premiums
  • Role of AI in redefining assumptions and claim probabilities
  • Legal risks and ethical issues in AI-based decision-making
  • Supervisory expectations around algorithmic underwriting
  • Embedding ESG metrics in underwriting through AI
  • Early warning systems and severity prediction using AI
  • Fraud Detection Tool, and link analysis for uncovering suspicious claims
  • Improved claims forecasting, reserving accuracy, and trend identification
  • Challenges in using AI for claims denials or disputes; importance of transparency
  • Customer-Centric Claims Automation
  • AI in managing climate claims, promoting fairness and identifying ESG-related losses
  • AI Product Innovation: Parametric and micro insurance, usage-based models
  • Embedded Insurance: Integration with retail, travel, fintech, and health platforms
  • Smart Services: Maintenance, health coaching, smart home support by AI
  • Leveraging real-time data to build continuously priced, adaptive products
  • Cross-border data-sharing and licensing concerns for ecosystem players
  • ESG-Driven Innovation: energy efficiency, climate resilience, underserved populations
  • Next-Gen Distribution: chatbots, robo-advisors, and recommendation engines
  • Data-driven tailoring of offers and proactive risk alerts
  • AI’s impact on underwriting and claims roles; upskilling for the future.
  • Fair marketing practices, informed consent, and AI accountability in digital sales
  • Using AI data to refine distribution channel efficiency and customer lifetime value
  • Expanding access to underserved markets through AI-enhanced digital channels

Certificates Awarded

Certificate of Completion

After successfully completing this training course, participants will be awarded The Energy Training Centre Certificate of Completion — a respected validation of their dedication to continuous learning and professional excellence. This certificate signifies that participants have gained the essential knowledge and skills required to make a measurable impact in their field.

Upcoming Sessions
London, UK
Dubai, UAE
Amsterdam, The Netherlands
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Frequently Asked Questions

Our training courses are conducted at partnered hotels located within the specified training areas. Please note that venue assignments may vary based on availability. For the most current information, do not hesitate to contact us at [email protected].

Yes, we do. We provide tailored training courses designed to meet the specific requirement of larger group of individuals. These customized training courses can be conducted both classroom and online formats, allowing you the flexibility to choose you preferred dates and duration.

Please contact us at [email protected] to discuss your group’s training needs, and we’ll work with you to create a personalized training course that aligns with your objectives.

Upon successful completion of the training course, you will receive The Energy Training Centre Certificate of Completion with corresponding learning hours.

Yes, special discounts are available upon request if you have more than one registrant for a course. For further information please email us at [email protected]

We offer two convenient payment options:

  • Bank Transfer – You can make payment via bank transfer. Once your registration is confirmed, you will receive an invoice with the banking details for the transfer. We would require you to supply a swift copy for us to confirm receipt of funds.
  • Payment Link – Alternatively, we provide a secure payment link that you can use to complete your payment after your registration has been confirmed.

Upon receiving your registration details, either via email at [email protected] or through our online registration form, we will send you the following by email within 24-48 hours of registration.

  • Joining Instructions
  • Invoice/receipt (where appropriate)

There are two convenient options to register for a training course:

  • Online Registration Form – Register for your desired training course by completing the online registration form available on our website. Simple click on the registration button or select your preferred dates and provide the requested information.
  • Email Registration – You can email us your intention to register at [email protected]. Our team will guide you through the registration process and provide assistance you may need.

We understand that time zones may be different between our Senior Consultants and our delegates. Our standard online course timings (11:00 AM to 4:00 PM, GMT+4 – Dubai, UAE) may be adjusted upon confirming the programme. Our team shall communicate between the confirmed registered delegates and suggest a suitable course timing for all.

Our standard course duration for our classroom programmes is 6 hours per day while our online session is 5 hours per day.

Our training courses span across diverse industries, encompassing sectors such as but not limited to:

  • Power & Utilities
  • Oil & Gas
  • Financial Institutions
  • Government and Regulatory bodies
  • Manufacturing & Production Industry

Our commitment lies in continuously refining and expanding our training course offerings to align with evolving industry landscapes. We encourage individuals to explore our website or engage with our dedicated support team for the latest information on available courses, ensuring access to the most pertinent and current educational resources.

Yes, The Energy Training Centre is certified and recognized by several prominent industry standards. Specifically, it holds certifications from ILM, Continuing Professional Development (CPD), and the Project Management Institute (PMI).

  • ILM (ID# 002398B) – This certification indicates that our training programmes meet high standards for leadership and management development, ensuring that they are designed to enhance participants’ skills in these critical areas.
  • Continuing Professional Development (CPD) – Our recognition by CPD reflects our commitment to providing educational opportunities that support ongoing professional growth and skill enhancement. This accreditation ensures that our training courses are relevant and effective for professionals seeking to advance their careers.
  • Project Management Institute (PMI) – Being recognized by PMI signifies that our training programmes align with industry best practices in project management. This certification assures participants that our offerings are in line with the standards required for effective project management and are valuable for those pursuing or maintaining PMI credentials.

These certifications underscore our dedication to providing high-quality, industry-relevant training that fosters professional growth and meets established standards. Additionally, we are actively pursuing further certifications and affiliations to enhance our offerings and ensure we remain at the forefront of industry best practices.

About Energy Training Centre

Energy Training Centre is a leading provider of professional development programs for the energy and public sectors. With over 15 years of experience, we have trained more than 50,000 professionals across the Middle East and beyond.

Our expert-led courses are designed to meet the evolving needs of modern organizations, combining theoretical knowledge with practical applications that deliver immediate value to your career and organization.

50K+
Professionals Trained
15+
Years of Experience
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