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.
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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-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
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- guidance-for-video-analysis-as-a-service-on-aws Public
This Guidance demonstrates how to implement a scalable video analysis as a service solution on AWS, providing you with powerful tools to manage and analyze video data from large IoT device fleets.
- guidance-for-custom-game-backend-hosting-on-aws Public
The AWS Game Backend Framework allows you to integrate your game clients with AWS backend services, with secure scalable identity management and authentication, and integrations to commonly used game platform identity providers and game engines.
- guidance-for-game-server-hosting-using-agones-and-open-match-on-amazon-eks Public
This guidance provides code and instructions to create a multi Kubernetes cluster environment to host a match making and game server solution, integrating Open Match, Agones and Amazon Elastic Kubernetes Service (Amazon EKS), for a session-based multiplayer game.
