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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 539 247

  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 484 154

  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 408 160

Repositories

Showing 10 of 352 repositories
  • 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 408 MIT-0 160 4 8 Updated Oct 24, 2026
  • 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 316 MIT-0 123 19 12 Updated Oct 24, 2026
  • guidance-for-low-cost-semantic-search-on-aws Public

    This project demonstrates how to build a cost-effective Retrieval-Augmented Generation (RAG) solution using Amazon DynamoDB as a vector store for small use cases, enabling small businesses to implement AI personalization without the high costs typically associated with specialized vector databases.

    aws-solutions-library-samples/guidance-for-low-cost-semantic-search-on-aws's past year of commit activity
    Python 16 MIT-0 0 0 1 Updated Oct 24, 2026
  • aws-solutions-library-samples/guidance-for-personalized-retail-seller-listings-on-aws's past year of commit activity
    TypeScript 2 MIT-0 0 0 12 Updated Oct 24, 2026
  • aws-solutions-library-samples/guidance-for-generating-a-bill-of-material-from-blueprints-on-aws's past year of commit activity
    TypeScript 0 MIT-0 1 0 26 Updated Oct 24, 2026
  • aws-solutions-library-samples/guidance-for-automotive-data-platform-on-aws's past year of commit activity
    Python 3 MIT-0 1 0 7 Updated Oct 24, 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 24, 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 2 122 23 Updated Oct 24, 2026
  • guidance-for-aws-deepracer-event-management Public

    The AWS DeepRacer Event Manager (DREM) is used to run and manage all aspects of in-person events for AWS DeepRacer, an autonomous 1/18th scale race car designed to test reinforcement learning (RL) models by racing on a physical track.

    aws-solutions-library-samples/guidance-for-aws-deepracer-event-management's past year of commit activity
    TypeScript 20 MIT-0 18 14 10 Updated Oct 23, 2026
  • cloud-intelligence-dashboards-data-collection Public

    This Guidance demonstrates how to deploy Cloud Intelligence Dashboards in your AWS environment using AWS CloudFormation templates or command line tools. These pre-built dashboards enable you to drive financial accountability, optimize costs, and track usage goals across their AWS infrastructure.

    aws-solutions-library-samples/cloud-intelligence-dashboards-data-collection's past year of commit activity
    Python 81 Apache-2.0 73 17 16 Updated Oct 23, 2026