Course overview
Start hereAI for Insurance Data Analysts
START HERE

AI for Insurance Data Analysts (Prompt Course)

15 lessons · 246 prompts

A day in the life of an Insurance Data Analyst: what changes with these prompts.

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Start Turning Insurance Data Into Decisions: An AI-Prompt Course for Analysts

AI for Insurance Data Analysts (Prompt Course) gives analysts a clear, practical path to use language models for the daily questions that drive claims, pricing, risk, retention, and reporting. Rather than abstract theory, you get a structured sequence of prompt-driven workflows that connect data to insight, insight to action, and action to measurable business results. Each module focuses on a core insurance analytics outcome, showing how to frame tasks for AI, request structured outputs, and validate results with the metrics that matter.

What you'll learn

  • How to frame insurance questions so AI produces structured, verifiable outputs ready for analysis or deployment.
  • How to use prompts to summarize complex documents, draft code, critique assumptions, perform text analytics, and produce decision-ready narratives.
  • How to connect prompts with tabular, text, and geospatial inputs and request JSON or table-formatted results that fit downstream tools.
  • How to evaluate AI-assisted work with clear metrics (accuracy, AUC/F1, RMSE/MAE, lift, latency) and design simple holdout tests.
  • How to document prompt workflows for compliance: data lineage, versioning, change logs, and model risk notes.
  • How to manage limits and risks: hallucinations, bias, token constraints, and privacy safeguards.

How this course works

  1. 15 lessonsOne task of your job each, from risk assessment modeling to real-time analytics for claim events.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish with the exam and a certificate for LinkedIn.