National Insurance Academy, Pune
Online Professional Certificate Programme

Leveraging Artificial Intelligence in Insurance Business

Transforming Insurance through AI, Analytics, and Generative AI.

Programme Objectives

Upon successful completion of the programme, participants will be able to:

  • Understand the fundamentals of Artificial Intelligence (AI) and related fields
  • Explore the applications of AI across business functions and organizational processes.
  • Leverage AI and emerging AI technologies to enhance productivity, and operational efficiency.
  • Understand the role of predictive analytics in supporting strategic planning and business growth.
  • Examine AI governance, ethics, data privacy, security, and regulatory considerations for responsible AI adoption.

Programme Overview

Artificial Intelligence (AI) is transforming the global insurance industry by enabling faster decision-making, improved customer experience, intelligent underwriting, fraud detection, claims automation, and personalized products. Technologies such as Machine Learning (ML), Generative AI (GenAI), Natural Language Processing (NLP), Computer Vision, and Predictive Analytics are reshaping how insurers operate and compete in an increasingly digital environment.

Insurance professionals today need to understand not only the fundamentals of AI but also how these technologies can be effectively integrated into core insurance functions while ensuring regulatory compliance, ethical governance, and responsible innovation.

The Professional Certificate Programme on Leveraging Artificial Intelligence in Insurance is designed to provide participants with practical knowledge, industry insights, and hands-on exposure to AI tools and real-world insurance use cases. Through interactive lectures, demonstrations, case studies, and practical sessions, participants will gain the confidence to identify AI opportunities and lead digital transformation initiatives within their organizations.

Programme Details

Programme Highlights

  • 16 Hours of Executive Learning
  • Weekend schedule for working professionals
  • Industry-oriented curriculum
  • Insurance-specific AI use cases
  • Live demonstrations of Generative AI tools
  • Hands-on practical sessions
  • Learn from senior insurance professionals, IIT alumni and leading InsurTech practitioners with expertise in AI, ML, Generative AI, Data Science, underwriting, claims, risk management, and digital transformation.
  • Interactive discussions and case studies
  • Certificate on successful completion

Target Participants

Insurance Professionals

Senior executives, branch managers, underwriters, claims professionals, risk managers, and brokers.

Technology & Digital Teams

IT professionals, digital transformation teams, and analytics practitioners.

Academia & Research

Faculty members, researchers, and postgraduate students interested in AI.

Distinguished Faculty

  • IT professionals from leading InsurTech organizations and IIT alumni with expertise in Artificial Intelligence, Machine Learning, Generative AI, and Data Science.
  • Senior professionals from Life, General, and Health Insurance companies with expertise in underwriting, claims, risk management, and insurance operations.
  • Faculty members from the National Insurance Academy (NIA), Pune with expertise in insurance, risk management, and digital transformation.

Pedagogy

The programme adopts an application-oriented learning approach comprising:

Expert lectures Live demonstrations Hands-on AI tools Practical exercises Insurance case studies Online assessment

Learning Outcomes

Participants will gain the ability to:

  • Understand the fundamentals and emerging trends in Artificial Intelligence and related technologies.
  • Leverage AI to enhance operational efficiency and enable data-driven business decisions.
  • Explore the ethical, governance, privacy, and security considerations associated with AI adoption.

Programme Structure & Curriculum

Total Duration: 16 Contact Hours

  • Evolution of Artificial Intelligence
  • AI, Machine Learning and Deep Learning
  • Insurance Digital Transformation
  • Global AI Trends
  • AI across the Insurance Value Chain
  • Future of AI in Insurance

  • Predictive Modelling
  • Customer Segmentation
  • Risk Scoring
  • Customer Retention Models
  • Cross-selling and Upselling Analytics
  • AI-driven Pricing Models
  • Practical Insurance Case Studies

  • Introduction to Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI-assisted Report Writing
  • Policy Document Summarization
  • Proposal Generation
  • Intelligent Knowledge Management
  • Demonstration of ChatGPT, Microsoft Copilot, Google Gemini and other AI tools

  • Digital Onboarding of Customers
  • Automated Risk Assessment
  • Medical Underwriting
  • Alternative Data Sources
  • AI-assisted Pricing
  • Decision Support Systems
  • Future of AI-enabled Underwriting

  • Intelligent Claims Processing in Life and General Insurance
  • Document Processing using NLP
  • Image Analytics and Computer Vision
  • Fraud Detection Techniques in Life and General Insurance
  • Claims Workflow Automation in Life and General Insurance
  • Practical Insurance Case Studies

  • AI Chatbots and Virtual Assistants
  • Customer Journey Analytics
  • Personalized Insurance Products
  • AI-based Recommendation Systems
  • Customer Engagement
  • Marketing Automation

  • Introduction to Agentic AI
  • AI Agents and Autonomous Workflow Automation
  • Intelligent Workflow Orchestration for Insurance Operations
  • AI Governance and Responsible AI Principles
  • Data Privacy Act
  • Regulatory Framework for AI in Insurance
  • Ethical Issues in AI and Agentic AI Adoption

Participants will work on practical insurance use cases including:

  • AI-assisted underwriting in Life and General Insurance
  • Fraud detection in Life and General Insurance
  • Customer analytics
  • Prompt engineering for insurance
  • Policy document analysis
  • Claims automation in Life and General Insurance
  • AI productivity tools
The programme concludes with an online assessment and participant feedback.

Programme Schedule

Four Saturdays (Weekend Executive Format)

Course Timeline
19 September – 10 October 2026
Day Time Session
Saturday 1 10:00 AM – 12:00 Noon Module 1 – Introduction to AI in Insurance
12:00 Noon – 12:15 PM Tea Break
12:15 PM – 2:15 PM Module 2 – Machine Learning & Predictive Analytics
Saturday 2 10:00 AM – 12:00 Noon Module 3 – Generative AI & Large Language Models
12:00 Noon – 12:15 PM Tea Break
12:15 PM – 2:15 PM Module 4 – AI in Underwriting & Risk Assessment
Saturday 3 10:00 AM – 12:00 Noon Module 5 – AI in Claims Management & Fraud Detection
12:00 Noon – 12:15 PM Tea Break
12:15 PM – 2:15 PM Module 6 – AI for Customer Experience & Business Growth
Saturday 4 10:00 AM – 12:00 Noon Module 7 – Agentic AI, Workflow Automation, Ethics & Regulation
12:00 Noon – 12:15 PM Tea Break
12:15 PM – 1:45 PM Module 8 – Practical Workshop & Case Studies
1:45 PM – 2:15 PM Assessment, Feedback & Valedictory

Assessment & Certification

Assessment Methods
  • Module-wise quizzes
  • Practical exercises
  • Case study participation
  • Final online assessment
Certification Criteria

A Professional Certificate in Leveraging Artificial Intelligence in Insurance will be awarded to participants who:

  • Attend at least 75% of the sessions.
  • Successfully complete the programme assessment.

Why Attend?

Artificial Intelligence is no longer a future technology—it is a strategic capability for every insurance organization. Professionals equipped with AI knowledge will be better positioned to improve operational efficiency, strengthen customer relationships, optimize decision-making, and lead innovation within their organizations.

Programme Fee

₹10,000

Including 18% GST per participant

NIA PGDM Students & Alumni
₹7,500

Including 18% GST

Fee Includes:

  • Live online sessions
  • Digital learning material
  • Practical exercises
  • Case studies
  • Assessment
  • Certificate of Completion
Register Now

Programme Contacts

For programme enquiries, nominations, and registrations, please get in touch with our team

Dr. Simran Khiani

Programme Coordinator


Ms. Ujwala Bagwan

Manager, Programme Office