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AWS Generative AI Essentials · LearnSpace
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courseraIT и технологии

AWS Generative AI Essentials

Курс от Amazon Web Services
Начальный≈ 16.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course introduces developers to Generative AI with AWS from Amazon Q Developer that integrates directly into your development environment to Amazon Bedrock with its foundation models and customization features. You'll learn implementation strategies for integrating these AWS AI services into your development workflow, including working with prompts, setting up guardrails, and implementing best practices for building AI applications. You'll learn about how AWS has transformed the world of sports analytics, marketing platforms, and travel services. Get started and you'll discover how organizations are using AWS' AI services to uplevel their development processes.

Навыки, которые вы освоите

AI SecurityAmazon BedrockAI OrchestrationAI WorkflowsPrompt EngineeringVibe codingModel Context ProtocolAmazon Web ServicesLLM ApplicationGenerative AI AgentsGenerative AIPrompt PatternsAI IntegrationsAgentic systemsSecure Coding

Программа курса

3 модулей · 50 учебных материалов

01Getting Started with AI-Powered Development19 материалов

Course Introduction

Welcome to the CourseВидеоWelcome to the CourseЧтение

AI Fundamentals and Amazon Q

Where The AI Development Journey BeginsВидеоIntroduction to Generative AI for DevelopersВидео

Учитесь у экспертов

Rafael Lopes

Principal Cloud Technologist

Oksana Hoeckele

Cloud Technologist

AWS Generative AI Essentials
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Обучение на Coursera

≈ 16.5 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский

Часть программы вашего университета
AWS Generative AI Services OverviewЧтение
Amazon Q DeveloperВидео
Update: Q CLI is now Kiro CLIЧтение
Amazon Q BusinessВидео
Amazon BedrockВидео
Amazon Bedrock or Amazon SageMaker?Видео
Prompt Engineering FundamentalsВидео
Prompt Engineering Fundamentals DemoВидео
COSTAR and Chain of ThoughtDIALOGUE

Hands-on AI Development

Building Your First AI-Enhanced ApplicationВидеоAI Development Best PracticesЧтениеBuilding Text Generation Apps with Amazon BedrockВнешний инструментAmazon Kiro Hello WorldВидеоEnterprise AI Strategy and Modern ToolsЧтениеModule QuizЗадание
02Secure AI Application Development14 материалов

Security is Job Zero!

Building Security into Your AI ApplicationsВидеоAI Governance and Best PracticesЧтениеAI Security FundamentalsВидеоPrompt Injection and Mitigation StrategiesЧтениеIntroduction to Amazon Bedrock GuardrailsВидеоDemo - a Safeguarded AI ApplicationВидеоCode Snippet - Amazon Bedrock API Call With Guardrail in PlaceЧтениеUnderstand Common Security RisksDIALOGUE

Practical Security Implementation

GenAI and Security TechTalkВидеоUsing AI to Enhance Cloud SecurityЧтениеSecuring AI Development with Amazon QВидеоBuilding Secure and Responsible Gen AI with GuardRails for Amazon BedrockВнешний инструментCloud Security for AI WorkloadsЧтениеModule QuizЗадание
03Advanced AI Development and Integration17 материалов

Model Context Protocol (MCP)

Supercharge Your AI Development SkillsВидеоModel Context Protocol (MCP)ВидеоMCP Servers and Integration PatternsЧтениеAn MCP Supercharged TechTalkВидеоVibe coding and spec-driven coding with Amazon KiroВидео

Amazon Kiro and Spec-Driven Development

Spec-Driven Development with Amazon KiroЧтениеKiro spec-driven coding demoВидеоKiro Additional FeaturesЧтение

Introduction to AI Agents

Simplifying AI AgentsВидеоIntroduction to Agentic AI ConceptsЧтениеKnowledge Bases for Agentic AI Solutions/AgentsВидеоCreating an AWS DevOps AI Agent with the Strands Agents SDK:Внешний инструментAI and Cloud Deployment StrategiesВидеоCareer Development and Next StepsЧтение
Career Development and Next StepsDIALOGUE
Course Wrap-up and Your AI Journey AheadВидео
Final AssessmentЗадание