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  1. guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker Public

    DeepRacer 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

    Jupyter Notebook 1.2k 703

  2. cloud-intelligence-dashboards-framework cloud-intelligence-dashboards-framework Public

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 537 245

  3. video-on-demand-on-aws video-on-demand-on-aws Public

    An automated reference implementation leveraging AWS Step Functions and AWS Media Services to deploy a scalable fault tolerant Video on demand workflow

    JavaScript 521 241

  4. data-lakes-on-aws data-lakes-on-aws Public archive

    Enterprise-grade, production-hardened, serverless data lake on AWS

    Python 485 156

  5. qnabot-on-aws qnabot-on-aws Public

    Guidance 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…

    JavaScript 448 263

  6. guidance-for-claude-code-with-amazon-bedrock 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

    Python 404 159

Repositories

Showing 10 of 349 repositories
  • sample-ai-assisted-call-center-agent-training Public

    AI-powered voice training system for call center agents using Amazon Nova 2 Sonic. Deploy as a standalone web application or integrate with Amazon Connect AI Agents for realistic customer simulations.

    aws-solutions-library-samples/sample-ai-assisted-call-center-agent-training's past year of commit activity
    TypeScript 13 MIT-0 3 0 0 Updated Oct 2, 2026
  • 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.

    aws-solutions-library-samples/guidance-for-game-backend-and-infrastructure-agentic-workflows's past year of commit activity
    Python 4 MIT-0 2 58 22 Updated Oct 2, 2026
  • cloud-intelligence-dashboards-framework Public

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    aws-solutions-library-samples/cloud-intelligence-dashboards-framework's past year of commit activity
    Python 537 MIT-0 244 32 16 Updated Oct 2, 2026
  • aws-solutions-library-samples/guidance-for-automated-content-compliance-with-ai-powered-video-analysis-and-agents-on-aws's past year of commit activity
    TypeScript 0 MIT-0 0 0 3 Updated Oct 2, 2026
  • aws-solutions-library-samples/guidance-for-ai-powered-devops-agent-for-prometheus-anomaly-detection's past year of commit activity
    Python 2 MIT-0 0 1 1 Updated Oct 2, 2026
  • guidance-for-game-analytics-pipeline-on-aws Public

    The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.

    aws-solutions-library-samples/guidance-for-game-analytics-pipeline-on-aws's past year of commit activity
    TypeScript 36 MIT-0 44 3 7 Updated Oct 2, 2026
  • 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

    aws-solutions-library-samples/guidance-for-rolling-back-changes-to-datasets-in-amazon-s3's past year of commit activity
    17 MIT-0 1 1 0 Updated Oct 1, 2026
  • 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

    aws-solutions-library-samples/global-capacity-orchestrator-on-aws's past year of commit activity
    Python 48 MIT-0 11 1 0 Updated Oct 1, 2026
  • guidance-for-connected-mobility-on-aws Public

    This Guidance demonstrates how to develop and deploy modular services for connected mobility solutions that enable vehicles to receive appropriate configurations throughout their lifecycle.

    aws-solutions-library-samples/guidance-for-connected-mobility-on-aws's past year of commit activity
    Python 7 Apache-2.0 2 0 5 Updated Oct 1, 2026
  • 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

    aws-solutions-library-samples/guidance-for-claude-code-with-amazon-bedrock's past year of commit activity
    Python 404 MIT-0 159 6 14 Updated Oct 1, 2026