aws-solutions-library-samples
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guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker PublicDeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
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cloud-intelligence-dashboards-framework
cloud-intelligence-dashboards-framework PublicCommand Line Interface tool for Cloud Intelligence Dashboards deployment
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video-on-demand-on-aws
video-on-demand-on-aws PublicAn automated reference implementation leveraging AWS Step Functions and AWS Media Services to deploy a scalable fault tolerant Video on demand workflow
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data-lakes-on-aws
data-lakes-on-aws PublicEnterprise-grade, production-hardened, serverless data lake on AWS
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guidance-for-claude-code-with-amazon-bedrock
guidance-for-claude-code-with-amazon-bedrock PublicThis Guidance demonstrates how organizations can implement secure enterprise authentication for Amazon Bedrock using industry-standard protocols and AWS services
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fraud-detection-using-machine-learning
fraud-detection-using-machine-learning PublicSetup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Repositories
- guidance-for-advertising-agents-on-aws Public
This guidance demonstrates how to deploy a comprehensive agentic application for advertising workflows using Amazon Bedrock AgentCore. The solution showcases advanced multi-agent collaboration across the entire advertising value chain - from strategic media planning and audience targeting to real-time bid optimization and publisher revenue manageme
- accelerated-intelligent-document-processing-on-aws Public
The IDP Accelerator provides a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale.
- guidance-for-developing-infrastructure-as-code-templates-from-architecture-diagrams-on-aws Public
This Guidance demonstrates how to transform architecture diagrams into Infrastructure as Code (IaC) templates using AI, addressing the challenge of time-consuming manual coding for solutions targeted for AWS deployments.
- guidance-for-multi-region-resilient-microservice-on-aws Public
This Guidance demonstrates how to build highly resilient web applications that can withstand disruptions, minimizing impact on revenue and application downtime
- guidance-for-generating-food-concepts-using-amazon-bedrock Public
This Guidance demonstrates how grocery retailers can accelerate private-label product development from weeks of costly agency work to under two minutes using Amazon Bedrock foundation models for automated concept generation. Claude Sonnet 4 generates market rationale, bills of materials with costings, and competitive pricing recommendations.
- guidance-for-game-backend-and-infrastructure-agentic-workflows Public
Multi-agent AI assistant for managing AWS game infrastructure (GameLift, EKS, Cost Explorer) via natural language, powered by Amazon Bedrock AgentCore, Strands Agents, and MCP.
- guidance-for-claude-code-with-amazon-bedrock Public
This Guidance demonstrates how organizations can implement secure enterprise authentication for Amazon Bedrock using industry-standard protocols and AWS services
- guidance-for-agentic-data-analyst-using-amazon-bedrock-agentcore-on-aws Public
This guidance provides a scalable approach for deploying a Data Analyst Agent that can query hundreds of datasets hosted on Amazon Athena. Built on the Strands Agents framework and deployed on AWS AgentCore, the agent leverages semantic search powered by Amazon S3 Vectors to automatically identify and retrieve the most relevant datasets.
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