Generative BI with Amazon Q in QuickSight – Getting Started

Amazon Q in QuickSight introduces a new suite of business intelligence (BI) capabilities by using the large language models (LLMs) of Amazon Bedrock and combining them with the capabilities of Amazon QuickSight. In this course, you will learn about technical concepts and the benefits of using Amazon Q in QuickSight. You will learn about the architecture of Amazon Q in QuickSight and how the built-in features help you to build dashboards and derive insights from your data with natural language queries.

• Course level: Fundamental
• Duration: 60 minutes

Activities:

• This course includes presentations, demonstrations, and assessments.

Course objectives:

• Describe how Amazon Q in QuickSight works.
• Familiarize yourself with the technical concepts of Amazon Q in QuickSight.
• List typical use cases for Amazon Q in QuickSight.
• Ask questions on your data in natural language and receive multi visual responses with contextual answers.
• Specify what it would take to implement Amazon Q in QuickSight in a real-world scenario.
• Recognize the benefits of Amazon Q in QuickSight.
• Explain the cost structure of Amazon Q in QuickSight.
• Explore how to use Amazon Q in QuickSight.

Intended Audience:

• Business or functional leader
• Business analyst
• Data analyst Prerequisites:
• Basic knowledge of Amazon QuickSight
• Completed the [Amazon QuickSight – Getting Started course]

Course outline:

Module 1: Introduction

• Introduction to Amazon Q in QuickSight
• Architecture and Use Cases

Module 2: Using Amazon Q in QuickSight

• How Do I Set Up Amazon Q in QuickSight?
• How Do I Create a Topic Using Amazon Q in QuickSight?
• How Do I Author a QuickSight Dashboard with Amazon Q?
• How Do I Use Amazon Q in QuickSight as a Business User?
• How Do I Create a Data Story with Amazon Q?
• How Do I Unsubscribe from Amazon Q in QuickSight?

Module 3: Resources

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• Keywords: Gen AI, Generative AI