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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 540 247

  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 521 242

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

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

    Python 485 154

  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 448 262

  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 410 160

Repositories

Showing 10 of 352 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.

    aws-solutions-library-samples/accelerated-intelligent-document-processing-on-aws's past year of commit activity
    Python 317 MIT-0 123 15 1 Updated Oct 27, 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 2 120 15 Updated Oct 26, 2026
  • global-capacity-orchestrator-on-aws Public

    AI/ML and HPC at planetary scale. One API. Every Accelerator. Any Region. MIT-0 licensed

    aws-solutions-library-samples/global-capacity-orchestrator-on-aws's past year of commit activity
    Python 52 MIT-0 12 0 0 Updated Oct 26, 2026
  • 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

    aws-solutions-library-samples/guidance-for-advertising-agents-on-aws's past year of commit activity
    Python 22 MIT-0 7 0 27 Updated Oct 26, 2026
  • aws-solutions-library-samples/guidance-for-intelligent-data-modernization-assistant-on-aws's past year of commit activity
    TypeScript 1 MIT-0 0 0 6 Updated Oct 26, 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 540 MIT-0 247 26 16 Updated Oct 26, 2026
  • aws-solutions-library-samples/guidance-for-ai-driven-resilience-testing-on-aws's past year of commit activity
    Python 1 MIT-0 0 0 4 Updated Oct 26, 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 8 Apache-2.0 2 0 11 Updated Oct 26, 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 410 MIT-0 160 4 11 Updated Oct 26, 2026
  • 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

    aws-solutions-library-samples/automated-forensic-orchestrator-for-amazon-ec2's past year of commit activity
    Python 75 Apache-2.0 13 1 22 Updated Oct 26, 2026