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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data-lakes-on-aws
data-lakes-on-aws PublicEnterprise-grade, production-hardened, serverless data lake on AWS
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fraud-detection-using-machine-learning
fraud-detection-using-machine-learning PublicSetup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
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guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents
guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents PublicThis Guidance demonstrates how to implement personalized ecommerce recommendations using Amazon Bedrock Agents.
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guidance-for-multi-provider-generative-ai-gateway-on-aws
guidance-for-multi-provider-generative-ai-gateway-on-aws PublicThis Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gateway based on OpenAI API standards
Repositories
- 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 - 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 - 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 - 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 - 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 - 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 - 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 - guidance-for-deploying-model-context-protocol-servers-on-aws Public
This Guidance demonstrates how to securely run Model Context Protocol (MCP) servers on the AWS Cloud using containerized architecture. It helps organizations implement industry-standard OAuth 2.0 authentication while protecting server deployments with multiple security layers, including content delivery networks and web application firewalls.
aws-solutions-library-samples/guidance-for-deploying-model-context-protocol-servers-on-aws’s past year of commit activity - guidance-for-generative-ai-assistant-on-aws Public
This Guidance shows how to unlock instant insights with a generative AI assistant that transforms content consumption across diverse sources, including web documents, PDFs, media files, and YouTube videos.
aws-solutions-library-samples/guidance-for-generative-ai-assistant-on-aws’s past year of commit activity - guidance-for-content-management-using-salesforce-on-aws Public
This Guidance demonstrates how to utilize advanced artificial intelligence (AI) capabilities within your existing Salesforce environment to gain more valuable insights about your customers. It allows you to seamlessly integrate the user-friendly interface of Salesforce with the powerful data storage and processing capabilities of AWS.
aws-solutions-library-samples/guidance-for-content-management-using-salesforce-on-aws’s past year of commit activity
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