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-managing-aws-quotas-through-automation Public
This Guidance shows how to automatically monitor and receive alerts on service quota usage across single or multiple AWS accounts. Effectively managing your AWS service quotas is crucial for maintaining operational continuity and preventing unexpected disruptions to your business-critical applications.
aws-solutions-library-samples/guidance-for-managing-aws-quotas-through-automation’s past year of commit activity - guidance-for-workforce-management-using-amazon-bedrock Public
This Guidance shows how to enhance workforce management through AI-driven automation and real-time intelligence. It demonstrates how to provide staff with quick access to relevant insights, enabling more informed decision-making
aws-solutions-library-samples/guidance-for-workforce-management-using-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 - guidance-for-intelligent-document-processing-agents-on-aws Public
This demo provides an automated loan application that streamlines document submission, verification, underwriting and approval processes.
aws-solutions-library-samples/guidance-for-intelligent-document-processing-agents-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 - sample-cognito-integrated-bedrock-agents-chat-ui Public
A secure, browser-based chat application that connects to Amazon Bedrock Agents using AWS Amplify for hosting and Amazon Cognito for authentication, enabling organizations to quickly deploy AI-powered chat interfaces with enterprise-grade security.
aws-solutions-library-samples/sample-cognito-integrated-bedrock-agents-chat-ui’s past year of commit activity - 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 - 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 - guidance-for-scalable-game-playtesting-and-qa-on-aws Public
This Guidance demonstrates how game developers can revolutionize their QA and playtesting processes through a comprehensive AWS-based solution.
aws-solutions-library-samples/guidance-for-scalable-game-playtesting-and-qa-on-aws’s past year of commit activity
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