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Study mode:
on
1
intro
2
the problem with repetitive tasks
3
introducing the secure and scalable solution
4
platform engineering context
5
solution architecture and capabilities
6
demo: exploring the solution
7
advanced features and templates
8
chat and history features
9
under the hood: architecture and costs
10
deploying the solution
11
cost breakdown and estimation
12
github repository and deployment instructions
13
final demo and conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a conference talk that delves into building a generative AI solution using AWS Serverless and Amazon Bedrock. Learn about the challenges of repetitive tasks and discover a secure, scalable solution in the context of platform engineering. Examine the solution's architecture, capabilities, and advanced features through demonstrations and detailed explanations. Gain insights into the underlying architecture, deployment process, and associated costs. Follow along with a step-by-step guide to deploying the solution, including a breakdown of cost estimations. Access the GitHub repository for deployment instructions and witness a final demonstration showcasing the solution's functionality.

Generative AI Solution with AWS Serverless and Bedrock

Conf42
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