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Building Generative AI Applications with Amazon Bedrock

This course will teach you how to build interactive generative AI applications using Amazon Bedrock, including implementing RAG with Bedrock Knowledge Bases, understanding Bedrock Agents, working with custom models, and evaluating models.

Faye Ellis - Pluralsight course - Building Generative AI Applications with Amazon Bedrock
by Faye Ellis
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What you'll learn

Generative AI is one of the most sought after skills right now, but getting hands-on practical experience using the latest technology can be a challenge. In this course, Building Generative AI Applications with Amazon Bedrock, you’ll learn to leverage the power of generative AI for your applications. First, you’ll explore how to build a simple interactive application. Next, you’ll discover how to implement retrieval augmented generation using Bedrock Knowledge Bases. Finally, you’ll learn how Bedrock Agents can be used to automate workflows. When you’re finished with this course, you’ll have the skills and knowledge of generative AI on AWS needed to Build generative AI applications using Amazon Bedrock.

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About the author

Faye Ellis - Pluralsight course - Building Generative AI Applications with Amazon Bedrock
Faye Ellis

Faye Ellis is Principal Training Architect, specialising in AWS, responsible for the AWSCertified Developer Associate, SysOps Administrator Associate and Security Specialty courses. Her other courses include Hands-On Troubleshooting With AWS, Hands-On Chaos Engineering, and EKS Basics. She also researches, writes and presents AWS This Week, a YouTube show designed to summarise the latest AWS updates. Faye has worked in the IT industry for around 20 years, working in SysOps, DevOps and Architecture roles with mission critical systems across a wide range of industries including financial services, telecommunications, government and healthcare. Faye is super passionate about cloud technology and understands firsthand how important it is to keep your skills up to date so that you can get to work on the coolest projects out there.

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