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Gen AI Dev- Safe User Interactions with Gen AI Applications · LearnSpace
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Gen AI Dev- Safe User Interactions with Gen AI Applications

Курс от Amazon Web Services
Продвинутый≈ 1.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Welcome to the third part of this learning plan centered around the role and responsibilities of a generative AI professional developer.In part two, you learned how to implement Agentic AI solutions and tools. You also learned about AI agents, how they work, make decisions, and take actions.In this part, you'll learn about security, governance, and compliance when working with your AI applications, and work with AI-assisted development tools.

Навыки, которые вы освоите

Artificial Intelligence and Machine Learning (AI/ML)Generative AIIT Security ArchitectureRetrieval-Augmented GenerationMachine LearningPrompt EngineeringAmazon Web ServicesNatural Language ProcessingGenerative AI AgentsSecurity ControlsData ValidationArtificial IntelligenceData GovernanceModel EvaluationCloud ComputingVerification And ValidationAgentic systemsCybersecuritySoftware Development

Программа курса

6 модулей · 61 учебных материалов

01Introduction5 материалов

Part 3 Introduction

WelcomeЧтение

Course Introduction

OverviewЧтениеPurpose of Content Input FilteringЧтениеFirst line of defenseЧтение

Учитесь у экспертов

AWS Instructor

Преподаватель курса

Gen AI Dev- Safe User Interactions with Gen AI Applications
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 1.8 ч

6 модулей

Язык: Английский

Часть программы вашего университета
Input Filtering Techniques in Generative AIЧтение
02Input Safety Controls11 материалов

Amazon Bedrock Guardrails

IntroductionЧтениеAmazon Bedrock GuardrailsЧтениеAddressing key risksЧтениеBedrock Guardrails core components and design principlesЧтениеHow it worksЧтениеAmazon Guardrails best practicesЧтение

AWS Step Functions and Lambda for Custom Moderation Workflows

IntroductionЧтениеBenefits of AWS Step Functions for custom moderation workflowsЧтение

Prompt Injections and Real-Time Validation Mechanisms

IntroductionЧтениеPrompt Injections OverviewЧтениеBest practices for prompt injection preventionЧтение
03Output Controls: Model Response Filtering25 материалов

Model Response Filtering Purpose and Techniques

IntroductionЧтениеModel Response FilteringЧтениеBenefits of model response filteringЧтениеTechniques for model response filteringЧтениеImplementing model response filtering with Amazon BedrockЧтениеBest practices for model response filteringЧтение

Output Response filtering with Amazon Bedrock Guardrails

IntroductionЧтениеModel response filtering with Amazon GuardrailsЧтениеContent FiltersЧтениеDenied TopicsЧтениеWord FiltersЧтениеSensitive information filtersЧтениеContextual grounding check

Content Moderation and Toxicity Detection

IntroductionЧтениеContent moderation and toxicity detectionЧтениеToxicity Detection API OverviewЧтениеToxicity categories and detectionЧтениеImplementing toxicity detectionЧтениеBest practices for content moderationЧтение

Text-to-SQL Transformations to Prevent Harmful Outputs

IntroductionЧтениеUnderstanding text-to-SQL transformationsЧтениеUse casesЧтениеImplementing steps for text-to-SQLЧтение
04Factual Accuracy and Hallucination Mitigation9 материалов

Grounding and Fact-Checking Responses with Amazon BedRock KB

IntroductionЧтениеContextual grounding checksЧтениеComponents of contextual grounding checksЧтениеImplementing contextual grounding checks with Bedrock Knowledge BaseЧтение

Semantic Similarity Searches for Verification

IntroductionЧтениеSemantic similarity search for verificationЧтениеBenefits of semantic similarity searches for verificationЧтение

Enforce Structured Outputs with JSON Schema

IntroductionЧтениеBenefits of structured output enforcementЧтение
05Multilayer Content Safety Architectures6 материалов

Benefits of Multilayer Content Safety Architectures

IntroductionЧтениеMultilayer content safety architecturesЧтениеPre-processing filters with Amazon Bedrock Data Automation and Amazon ComprehendЧтениеModel-based guardrails with Amazon BedrockЧтениеPost-processing validation with AWS LambdaЧтениеComprehensive content safety strategyЧтение
06Conclusion5 материалов

Summary

Graded AssessmentЗаданиеRecap and next stepsЧтениеResourcesЧтениеSurveyЧтение

We want to hear from you

Provide the following information for faster support resolution:Чтение
Чтение
Automated Reasoning ChecksЧтение
Safeguard tiers with protection levels and optionsЧтение