Generative BI with Amazon Q in Quicksight - Getting Started (Traditional Chinese)

סקירה כללית

Amazon Q in QuickSight integrates Amazon Bedrock's large language models (LLM) with Amazon QuickSight's AI features, introducing new Business Intelligence (BI) capabilities. In this course, you will learn the technical concepts and advantages of using Amazon Q in QuickSight.

You will discover the architecture of Amazon Q in QuickSight and how its built-in features help you create dashboards to derive insights from data using natural language queries.

• Course Level:

  Beginner

• Duration:

  60 minutes

Note:

This course includes localized annotations/captions. Narration remains in English.

To display captions, click the CC button at the bottom right of the player.

This course includes presentations, demonstrations, and assessments.

• Explain how Amazon Q in QuickSight operates.
• Familiarize with the technical concepts of Amazon Q in QuickSight.
• List typical use cases for Amazon Q in QuickSight.
• Ask data-related questions using natural language to receive contextual answers with multi-visual responses.
• Identify conditions required to implement Amazon Q in QuickSight in real-world scenarios.
• Recognize the advantages of Amazon Q in QuickSight.
• Explain the cost structure of Amazon Q in QuickSight.
• Explore how to utilize Amazon Q in QuickSight.

• Enterprise or Department Managers
• Business Analysts
• Data Analysts

• Basic knowledge of Amazon QuickSight
• Completion of the Amazon QuickSight - Introduction course

Unit 1:

Introduction

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

Unit 2:

Using Amazon Q in QuickSight

• How to Set Up Amazon Q in QuickSight?
• How to Create Topics using Amazon Q in QuickSight?
• How to Draft QuickSight Dashboards using Amazon Q?
• How to Use Amazon Q in QuickSight as a Business User?
• How to Create Data Stories using Amazon Q?
• How to Unsubscribe from Amazon Q in QuickSight?

Unit 3:

Resources

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