- Course
- Cloud
- Data
Data Show and Tell: Building a GenAI Health Insurance Bot with Azure Databricks
Are you looking to build GenAI bots on your enterprise data? This course shows how to create a RAG-based GenAI bot for insurance queries using Azure Databricks technologies - Delta Lake, Unity Catalog, Vector Search, LLMs, and Databricks Apps.
What you'll learn
Understanding health insurance policies can be complicated. An individual needs to read through many details to understand what is covered under the policy. Even the policy wording can be difficult to comprehend at times.
In this course, Data Show and Tell: Building a GenAI Health Insurance Bot with Azure Databricks, you’ll gain the ability to create a GenAI chatbot capable of answering health insurance queries effectively. First, you’ll explore how to prepare and index insurance data using Databricks Vector Search. Next, you’ll discover how to build a Retrieval-augmented Generation (RAG) pattern on a large language model (LLM) and register it with Databricks Unity Catalog. Finally, you’ll learn how to deploy a GenAI chatbot using Databricks Apps.
When you’re finished with this course, you’ll have the skills and knowledge needed to build an end-to-end GenAI bot for navigating complex health insurance policies and answering user queries with precision.
Table of contents
About the author
Mohit is a Data Engineer, a Microsoft Certified Trainer (MCT) and a consultant. Mohit has 15+ years of extensive experience in architecting large scale Business Intelligence, Data Warehousing and Big Data solutions with companies like Microsoft and some leading investment banks.