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 Public archiveEnterprise-grade, production-hardened, serverless data lake on AWS
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qnabot-on-aws
qnabot-on-aws PublicGuidance for QnABot on AWS is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy…
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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
Repositories
- 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.
- global-capacity-orchestrator-on-aws Public
AI/ML and HPC at planetary scale. One API. Every Accelerator. Any Region. MIT-0 licensed
- guidance-for-rolling-back-changes-to-datasets-in-amazon-s3 Public
Rapidly recover from accidental deletions, overwrites, or ransomware affecting millions or billions of S3 objects, using S3 Versioning
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- guidance-for-piping-and-instrumentation-diagrams-digitization-on-aws Public
This Guidance demonstrates how to transform static Piping and Instrumentation Diagrams (P&IDs) into machine-readable digital formats using AWS AI and machine learning services. The process combines Amazon Bedrock Data Automation for superior text extraction from technical drawings with custom SageMaker deep learning models.
- 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
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- 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-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.
