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Gen AI Dev- Implement Data Security and Privacy Controls · LearnSpace
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Gen AI Dev- Implement Data Security and Privacy Controls

Курс от Amazon Web Services
Продвинутый≈ 1.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In this module, you will learn how to do the following:Describe defense-in-depth for AI strategy and the seven layer approach.Locate resources for AI security best practices.Implement secure infrastructure for AI data processing with network isolation by using VPC endpoints.Secure data access patterns with IAM policies.Configure identity federation for enterprise AI environments.Design role-based access control (RBAC) for AI resources and data stores.Implement granular data access with AWS Lake

Навыки, которые вы освоите

Generative AI AgentsIdentity and Access ManagementAmazon Web ServicesAWS Identity and Access Management (IAM)Generative AIData SecurityArtificial Intelligence and Machine Learning (AI/ML)Machine LearningCloud SecurityCloud ComputingNatural Language ProcessingRole-Based Access Control (RBAC)Prompt EngineeringCybersecurityAuthorization (Computing)GovernanceArtificial IntelligenceData GovernanceSecurity ControlsSoftware Development

Программа курса

4 модулей · 57 учебных материалов

01Introduction2 материалов

Module Introduction

IntroductionЧтениеDefense-in-Depth for AI StrategyЧтение
02Secure Infrastructure for AI Data Processing28 материалов

Defense-in-Depth

IntroductionЧтениеSeven layers of security protectionЧтение

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AWS Instructor

Преподаватель курса

Gen AI Dev- Implement Data Security and Privacy Controls
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Обучение на Coursera

≈ 1.9 ч

4 модулей

Язык: Английский

Часть программы вашего университета
Architect defense-in-depth security for generative AI applicationsЧтение

VPC Endpoints for Private Network Communications

IntroductionЧтениеBenefits of using VPC endpoints for private network communicationsЧтениеMore on the benefitsЧтениеEndpoint security best practices resourcesЧтение

Secure Data Access Patterns with IAM Policies to Protect AI Environments

IntroductionЧтениеBenefits of securing data access patterns with IAMЧтение

Secure Enterprise GenAI Applications Based on User Roles

IntroductionЧтениеSecuring Enterprise GenAI ApplicationsЧтениеIdentity FederationЧтениеRole-based access controls (RBAC)ЧтениеSecure API Access frameworksЧтениеA few key takeaways:Чтение

AWS Lake Formation for Granular Data Access

IntroductionЧтениеUnderstanding AWS Lake Formation for AI data governanceЧтениеGranular access control capabilitiesЧтениеIntegrating Lake Formation with AI servicesЧтениеFine-grained permission managementЧтениеMonitoring and compliance with Lake FormationЧтениеBest practices for AI data governanceЧтение

Monitor Data Access with Amazon CloudWatch

IntroductionЧтениеCloudWatch for monitoring data accessЧтениеCloudWatch Logs for AI security monitoringЧтениеCloudWatch Logs Insights for analyzing AI application logsЧтениеCloudWatch anomaly detection to identify unusual access patternsЧтениеBest practices for AI security monitoringЧтение
03Data Privacy Features22 материалов

Amazon Bedrock Native Data Privacy Features

IntroductionЧтениеAmazon Bedrock Native Data PrivacyЧтениеEncryption and data protection capabilitiesЧтениеAmazon Bedrock AgentCoreЧтениеAmazon Nova ModelsЧтениеBest practices for using Bedrock native privacy featuresЧтение

Securing PII Across Internal and External AI Environments

IntroductionЧтениеThe challenges in AI environmentsЧтениеAmazon Bedrock Guardrails for PII output filteringЧтениеAmazon ComprehendЧтениеAmazon MacieЧтениеImplementing comprehensive PII protection architecturesЧтениеAmazon Nova modelsЧтение

Data Masking Techniques for AI Systems

IntroductionЧтениеUnderstanding data masking fundamentals for AI systemsЧтениеAnonymization strategies for AI data protectionЧтениеPseudonymization techniques for AI data protectionЧтениеMasking techniques for vector embeddings in Amazon S3 VectorsЧтение

Data Retention Policies to Protect Sensitive Information In FM Interactions

IntroductionЧтениеUnderstanding data lifecycle management for AI applicationsЧтениеUsing Amazon S3ЧтениеVector data retention considerations for S3 VectorsЧтение
04Conclusion5 материалов

Summary

Graded AssessmentЗаданиеRecap and next stepsЧтениеResourcesЧтениеSurveyЧтение

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