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-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.
- global-capacity-orchestrator-on-aws Public
GCO is a platform that spins up EKS Auto Mode clusters across AWS regions, wired together with Global Accelerator for low-latency routing. It handles multi-region compute orchestration — capacity-aware scheduling, spot fallback, globally distributed autoscaling inference — and offers a REST API, CLI, MCP and an integrated analytics environment
- guidance-for-voice-ai-in-app-ordering-using-amazon-bedrock-agentcore Public
This Guidance demonstrates how to implement real-time voice ordering across mobile apps, websites, and voice interfaces using Amazon Bedrock AgentCore and Amazon Nova 2 Sonic to process bidirectional voice streams without conversation pauses.
- 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-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-scalable-model-inference-and-agentic-ai-on-amazon-eks Public
Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP
- guidance-for-accelerator-optimized-agentic-bidding-on-aws Public
This Guidance demonstrates how to optimize real-time bidding decisions across multiple machine learning models by deploying GPU-accelerated NVIDIA model architectures that run in parallel within an ARTF-compliant framework.
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