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aws-solutions-library-samples

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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 1.3k 706

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

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 500 216

  3. data-lakes-on-aws data-lakes-on-aws Public

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

    Python 474 151

  4. fraud-detection-using-machine-learning fraud-detection-using-machine-learning Public

    Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

    Jupyter Notebook 328 163

  5. guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents Public

    This Guidance demonstrates how to implement personalized ecommerce recommendations using Amazon Bedrock Agents.

    Python 225 11

  6. guidance-for-multi-provider-generative-ai-gateway-on-aws guidance-for-multi-provider-generative-ai-gateway-on-aws Public

    This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gateway based on OpenAI API standards

    HCL 176 35

Repositories

Showing 10 of 300 repositories
  • accelerated-intelligent-document-processing-on-aws Public

    This Guidance demonstrates 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
    Jupyter Notebook 153 MIT-0 49 9 2 Updated Dec 8, 2025
  • guidance-for-vibe-coding-with-aws-mcp-servers Public

    Hands-on guidance for AI-accelerated AWS development using AWS MCP Servers. Learn to leverage AI coding assistants to enhance your development workflows with AWS best practices.

    aws-solutions-library-samples/guidance-for-vibe-coding-with-aws-mcp-servers’s past year of commit activity
    Python 23 MIT 3 0 0 Updated Dec 9, 2025
  • 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
    TypeScript 6 MIT-0 1 0 0 Updated Dec 8, 2025
  • guidance-for-multi-agent-orchestration-agent-squad-on-aws Public

    This Guidance demonstrates how to effectively orchestrate multiple specialized AI agents to solve complex customer support challenges through different coordination mechanisms on AWS. Modern customer service environments demand sophisticated handling of multi-step interactions, personalized responses, and seamless access to various data sources.

    aws-solutions-library-samples/guidance-for-multi-agent-orchestration-agent-squad-on-aws’s past year of commit activity
    TypeScript 22 MIT-0 6 0 14 Updated Dec 8, 2025
  • guidance-for-media2cloud-on-aws Public

    Guidance for Media2Cloud on AWS solution (formerly known as AWS Media2Cloud Solution) is designed to demonstrate a serverless ingest framework that can quickly setup a baseline ingest workflow for placing video assets and associated metadata under management control of an AWS customer.

    aws-solutions-library-samples/guidance-for-media2cloud-on-aws’s past year of commit activity
    JavaScript 137 Apache-2.0 70 8 15 Updated Dec 6, 2025
  • guidance-for-developing-infrastructure-as-code-templates-from-architecture-diagrams-on-aws Public

    This Guidance demonstrates how to transform architecture diagrams into Infrastructure as Code (IaC) templates using AI, addressing the challenge of time-consuming manual coding for solutions targeted for AWS deployments.

    aws-solutions-library-samples/guidance-for-developing-infrastructure-as-code-templates-from-architecture-diagrams-on-aws’s past year of commit activity
    TypeScript 33 MIT-0 5 0 4 Updated Dec 6, 2025
  • prebid-server-deployment-on-aws Public

    Guidance for Deploying a Prebid Server on AWS helps customers deploy and operate Prebid Server, an open source solution for real-time ad monetization, in their own Amazon Web Services (AWS) environment.

    aws-solutions-library-samples/prebid-server-deployment-on-aws’s past year of commit activity
    Python 12 Apache-2.0 5 0 3 Updated Dec 6, 2025
  • guidance-for-secure-blockchain-validation-using-aws-nitro-enclaves Public

    This Guidance shows how to deploy a secure, scalable, and cost-efficient blockchain key management solution for blockchain validation workloads like Ethereum 2.0 proof-of-stake networks.

    aws-solutions-library-samples/guidance-for-secure-blockchain-validation-using-aws-nitro-enclaves’s past year of commit activity
    Python 20 MIT-0 6 0 2 Updated Dec 6, 2025
  • 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 86 MIT-0 26 12 4 Updated Dec 6, 2025
  • 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 13 MIT-0 0 0 1 Updated Dec 6, 2025