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Building Generative AI applications with Amazon Bedrock

Intermediate
Up to 6h 25m
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Training content

4
4
COURSE
Beginner
36m 26s
Building and Scaling Generative AI Applications with Amazon Bedrock
This lesson will introduce you to Amazon Bedrock, a managed service that has been designed to help you build and scale generative AI applications.
COURSE
Intermediate
28m 8s
Interacting with Amazon Bedrock Foundation Models using APIs
This lesson is going to explain how to use Amazon Bedrock runtime APIs to interact with foundation models hosted on Amazon Bedrock.
HANDS-ON LAB
Intermediate
Up to 1h 15m
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS Lambda
Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.
HANDS-ON LAB
Beginner
Up to 1h
Optimizing Prompts For Large Language Models Using Amazon Bedrock
Learn how to engineer and develop prompts for large language models in this hands-on lab.
COURSE
Intermediate
20m 9s
Amazon Bedrock Security and Privacy
Explore security, privacy, and governance within Amazon Bedrock and learn how to create responsible generative AI applications.
COURSE
Intermediate
Amazon Bedrock Orchestration using Knowledge Bases and Agents
Learn about Knowledge Bases and Agents within Amazon Bedrock and how they can be used to integrate AI systems with business applications.
HANDS-ON LAB
Beginner
Up to 1h 30m
Employing Generative AI for Development With Amazon Bedrock
Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.
See all

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.

Prerequisites

  • Have an understanding of the basics of generative AI


Your certificate for this learning path

About the Author

Avatar
Stuart Scott, opens in a new tab
AWS Content Director
Students
231,327
Labs
1
Courses
232
Learning paths
207

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.

Covered Topics

Development
Artificial Intelligence
Amazon Web Services
Artificial Intelligence for AWS
Development for AWS
Amazon Bedrock