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.
Wer teilnehmen sollte
- Business or functional leader
- Business analyst
- Data analyst
Kursvoraussetzungen
- Basic knowledge of Amazon QuickSight
- Completed the Amazon QuickSight - Getting Started course
Was du lernen wirst
- 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.
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