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Gen AI Dev- Implement AI Gov, Compliance, & Transparency · LearnSpace
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Gen AI Dev- Implement AI Gov, Compliance, & Transparency

Курс от Amazon Web Services
Продвинутый≈ 1.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In this module, you will learn how to do the following:Define concepts of compliance, governance, and security.Locate AWS resources for compliance programs.Use AWS services and tools to implement compliance and governance controls for your generative AI applications.Without proper governance and compliance frameworks, organizations deploying generative AI face significant legal, ethical, and business risks. Comprehensive governance structures help ensure these powerful technologies are deployed

Навыки, которые вы освоите

Natural Language ProcessingGenerative AICompliance ManagementMachine LearningAWS SageMakerSoftware DevelopmentPrompt EngineeringAI SecurityAmazon Web ServicesGovernance Risk Management and ComplianceRegulatory ComplianceAgentic WorkflowsArtificial Intelligence and Machine Learning (AI/ML)Artificial IntelligenceAI WorkflowsGovernanceCloud ComputingData GovernanceGenerative AI AgentsMLOps (Machine Learning Operations)

Программа курса

5 модулей · 60 учебных материалов

01Introduction to Compliance and Governance7 материалов

Introduction

WelcomeЧтениеSecurity, Governance, and Compliance: Three interconnected ConceptsЧтение

Understanding Compliance Frameworks for Gen AI Applications

IntroductionЧтениеGovernance and Compliance StrategyЧтение

Учитесь у экспертов

AWS Instructor

Преподаватель курса

Gen AI Dev- Implement AI Gov, Compliance, & Transparency
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 1.6 ч

5 модулей

Язык: Английский

Часть программы вашего университета
Establishing a Governance FrameworkЧтение
Understanding Compliance Considerations for Gen AI ApplicationsЧтение
AWS compliance programЧтение
02Compliance20 материалов

Amazon SageMaker Model Cards for Compliance Documentation

IntroductionЧтениеAmazon SageMaker Model CardsЧтениеImplementing SageMaker Model Cards for compliance documentationЧтениеSageMaker Model Card JSON Schema for GenAI ComplianceЧтениеModel Customization with Amazon SageMaker AIЧтениеEnhanced Model Customization with SageMaker AIЧтение

AWS Glue for Automated Data Lineage Tracking

IntroductionЧтениеHow AWS Glue Catalog WorksЧтениеSupporting compliance and governance workflow integrationЧтениеImplementation processЧтение

Metadata Tagging for Source Attribution in FM Generated Content

IntroductionЧтениеPurpose and benefitsЧтениеKey componentsЧтениеUse casesЧтениеEnhanced Source Attribution with Amazon Bedrock Knowledge BasesЧтение

AWS CloudTrail Audit Logging to Maintain Traceability

IntroductionЧтениеAuditing generative AI workloads with AWS CloudTrailЧтениеHow it helpsЧтениеThe process for auditing generative AI workloads with AWS CloudTrailЧтениеEnhanced Security Monitoring with AWS Security HubЧтение
03Governance9 материалов

Data Governance Strategies

IntroductionЧтениеData governance strategies for AI and generative workloadsЧтениеAdditional Resources for Data Governance with Generative AI ApplicationsЧтение

Approaches for Implementing Governance Strategies

IntroductionЧтениеGovernance strategiesЧтениеGovernance for securing generative AIЧтениеMonitoring AI systemsЧтение

Best practices for AI Compliance Framework Implementation

IntroductionЧтениеBest PracticesЧтение
04Transparent AI Systems19 материалов

Reasoning Checks for User-facing Explanations

IntroductionЧтениеAutomated reasoning checks in Amazon Bedrock GuardrailsЧтениеKey features of automated reasoning checksЧтениеImplementing automated reasoning checksЧтениеEvidence presentation for source attributionЧтениеAmazon Bedrock AgentCore Чтение

Fairness Evaluation

IntroductionЧтениеPre-defined fairness metrics in CloudWatchЧтениеSetting up pre-defined metrics in CloudWatchЧтениеAmazon Bedrock Prompt Management for systematic A/B testingЧтениеImplementing systematic A/B testing with Prompt FlowsЧтениеLLM-as-a-judge for automated model evaluationsЧтение

Policy-compliant AI Systems

IntroductionЧтениеUnderstanding Guardrail policiesЧтениеGuardrail policy enhancementsЧтениеImplementing Amazon Bedrock GuardrailsЧтениеUsing Bedrock Guardrails for Policy Enforcement, Amazon Kiro Powers, and Specialized Content for AgentsЧтение
05Conclusion5 материалов

Summary

Graded AssessmentЗаданиеRecap and next stepsЧтениеResourcesЧтениеSurveyЧтение

Contact Us

We want to hear from you.Чтение
Setting up LLM-as-a-judge evaluationЧтение
Advanced MLOps on Amazon SageMaker AIЧтение