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AWS: Generative AI & Bedrock · LearnSpace
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AWS: Generative AI & Bedrock

Курс от Whizlabs
Начальный≈ 7.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course is designed to provide a comprehensive introduction to Generative AI and the AWS services that enable organizations to build, customize, and deploy AI-powered applications. Learners will explore the foundational concepts of generative AI, understand how foundation models work, and discover how businesses are using these technologies to transform customer experiences, automate processes, and drive innovation. The course begins by introducing the core concepts of generative AI, including foundation models, model lifecycles, business use cases, challenges, and evaluation metrics. Learners will then explore Amazon Q and Amazon Bedrock, gaining an understanding of how AWS simplifies the development of generative AI applications through managed services and access to multiple foundation models. Finally, the course covers advanced concepts such as Retrieval-Augmented Generation (RAG), knowledge bases, AI agents, guardrails, and model evaluation, enabling learners to understand how modern AI applications are built and governed. This course is structured into multiple modules, each featuring lessons and video lectures that provide theoretical knowledge and practical demonstrations. Participants will engage with approximately 2–3 hours of instructional content, ensuring both conceptual understanding and practical application. To reinforce learning, graded and ungraded assignments are included within each module to help learners apply generative AI concepts in real-world scenarios. Module 1: Generative AI Foundations Module 2: Amazon Q & Amazon Bedrock Fundamentals Module 3: RAG, Knowledge Bases & AI Agents ## At the end of the course, learners will learn * Understand the core concepts, terminology, use cases, and business value of Generative AI and Foundation Models. * Explore Amazon Q, Amazon Bedrock, and foundation model selection strategies to build AI-powered applications on AWS. * Understand Retrieval-Augmented Generation (RAG), knowledge bases, AI agents, guardrails, and evaluation techniques for developing trustworthy generative AI solutions. This course is for Team Managers, Business Leaders, Cloud Practitioners, Solutions Architects, Developers, Data Engineers, AI Enthusiasts, Technical Consultants, and professionals interested in understanding Generative AI on AWS.

Навыки, которые вы освоите

Amazon BedrockGenerative AIModel EvaluationRetrieval-Augmented GenerationGenerative AI AgentsAI IntegrationsLarge Language ModelingAmazon S3LLM ApplicationAmazon Web ServicesModel DeploymentResponsible AIModel Training

Программа курса

3 модулей · 39 учебных материалов

01Generative AI Foundations13 материалов

Introduction to Generative AI

Welcome to the CourseЧтениеOverview of Generative AI FoundationsЧтениеWhat is Generative AI Model?ВидеоKey Terms of Generative AIВидео

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Преподаватель курса

AWS: Generative AI & Bedrock
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Обучение на Coursera

≈ 7.6 ч

3 модулей

Язык: Английский

Часть программы вашего университета
Identify the Potential Use Cases of Generative AIВидео
Challenges of Generative AIВидео
Components of Generative AIВидео
Lifecycle of Foundation ModelsВидео
Meet & GreetОбсуждение
Types of Foundation ModelsВидео
Business Metrics for Generative AIВидео
Introduction to Generative AI - Knowledge CheckЗадание
Generative AI Foundations - AssessmentЗадание
02Amazon Q & Amazon Bedrock Fundamentals14 материалов

Building with Amazon Q & Bedrock

Overview of Amazon Q & Amazon Bedrock FundamentalsЧтениеWhat is Amazon Q BusinessВидеоAmazon Q AppsВидеоAmazon Q DeveloperВидеоAmazon Bedrock - OverviewВидеоAmazon Bedrock - DemoВидеоFoundation Models on Amazon Bedrock - How to Choose?ВидеоFinetuning Foundation ModelsВидеоEvaluation Metrics of Foundation ModelsВидеоPartyRock - Amazon Bedrock PlaygroundВидеоAmazon Bedrock - PricingВидеоBuilding with Amazon Q & Bedrock - Knowledge CheckЗаданиеAmazon Q & Amazon Bedrock Fundamentals - AssessmentЗаданиеBuilding Generative AI Solutions with Amazon Q and Amazon BedrockDIALOGUE
03RAG, Knowledge Bases & AI Agents12 материалов

AI Agents, RAG & Knowledge Systems

Overview of RAG, Knowledge Bases & AI AgentsЧтениеAWS Services for Storage of Vector EmbeddingsВидеоAmazon Bedrock RAG & Knowledge Base - DemoВидеоAmazon Bedrock - GuardRailsВидеоAmazon Bedrock AgentsВидеоAmazon Bedrock - Evaluation - DemoВидеоAmazon Bedrock Integrations - CloudWatch - S3ВидеоDesigning a Secure Enterprise RAG Solution with Amazon BedrockDIALOGUEAI Agents, RAG & Knowledge Systems- Knowledge CheckЗаданиеRAG, Knowledge Bases & AI Agents - AssessmentЗаданиеCourse Conclusion and SummaryЧтениеAWS Core + Business Focus for Team Managers- Specialization Conclusion & Next StepsЧтение