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
- guidance-for-open-source-3d-reconstruction-toolbox-for-gaussian-splats-on-aws Public
The Open Source 3D Reconstruction Toolbox for Gaussian Splats provides an end-to-end, pipeline-based guidance on AWS to reconstruct 3D scenes or objects from images or video inputs.
- 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.
- 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-scalable-game-playtesting-and-qa-on-aws Public
This Guidance demonstrates how game developers can revolutionize their QA and playtesting processes through a comprehensive AWS-based solution.
- automated-forensic-orchestrator-for-amazon-ec2 Public
Automated Forensics Orchestrator for Amazon EC2 and EKS is a self-service AWS Guidance implementation that enterprise customers can deploy to quickly set up and configure an automated orchestration workflow that enables their Security Operations Centre (SOC) to capture & examine forensic data from EKS & EC2 instances and attached volumes
- global-capacity-orchestrator-on-aws Public
AI/ML and HPC at planetary scale. One API. Every Accelerator. Any Region. MIT-0 licensed.
- 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
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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.
- cloud-intelligence-dashboards-framework Public
Command Line Interface tool for Cloud Intelligence Dashboards deployment