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Building Generative AI applications with Amazon Bedrock

Up to 6h 25m
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Amazon Bedrock is a managed AWS service that allows you to use and access a number of different foundation models (FMs) via API calls. These FMS includes those curated by Amazon, in addition to FMs provided by many leading 3rd parties.

In this course, you will learn about Amazon Bedrock and its features. 

  • What Amazon Bedrock allows you to do
  • The different foundation models supported by Bedrock at the time this lesson was created
  • How you can experiment running inference with Amazon Playgrounds
  • How model evaluations allow you to compare and analyze different model performance and response outputs
  • The different types of model evaluations available and how to configure them
  • The fundamentals of setting up your APIs with Amazon Bedrock
  • Learn how to use Python and the Boto3 SDK to interact with the Bedrock API 
  • Learn how to run single prompt inference using code for both image and text generation 
  • Learn how to switch between Foundation Models using code 
  • Understand the invocation options for the Bedrock Runtime

Intended Audience

This course has been created for those who are implementing or building generative AI applications.


  • Have an understanding of the basics of generative AI

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About the Author

Learning paths

Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.

To date, Stuart has created 250+ courses relating to cloud computing reaching over 1 million+ students.

Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.

He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.

Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.

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