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AI/ML & Advanced AWS Services · LearnSpace
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AI/ML & Advanced AWS Services

Курс от Whizlabs
Начальный≈ 6.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

The AI/ML & Advanced AWS Services course provides foundational and intermediate knowledge of Generative AI, AWS AI services, machine learning workflows, and MLOps practices used to build intelligent cloud applications. Learners will explore advanced Generative AI concepts, AWS AI/ML services, foundation models, prompt engineering, intelligent search, conversational AI, computer vision, and machine learning operations on AWS. The course covers advanced Generative AI techniques including prompt engineering, fine-tuning, RAG architecture, foundation models, Amazon Bedrock, Guardrails, Bedrock Agents, and AI-powered application workflows. Learners will also explore AWS AI services such as Amazon Rekognition, Amazon Lex, Amazon Kendra, Amazon Polly, Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Textract, Amazon Personalize, and other intelligent AWS services. In addition, the course introduces machine learning and MLOps concepts using Amazon SageMaker, SageMaker Feature Store, SageMaker Data Wrangler, SageMaker Model Monitor, SageMaker JumpStart, and AWS MLOps services to help learners understand end-to-end ML lifecycle management and operational AI workflows. This course is structured into three modules with approximately 7–9 hours of video content and quizzes to reinforce learning. Course Modules: Module 1: Advanced GenAI Techniques Module 2: AWS AI Services Module 3: Machine Learning & MLOps By the end of this course, learners will be able to: Understand advanced Generative AI concepts and foundation models Explore prompt engineering, fine-tuning, and RAG architectures Understand Amazon Bedrock, Guardrails, Agents, and AI integrations Explore AWS AI services for speech, vision, search, translation, and conversational AI Understand machine learning workflows using Amazon SageMaker Explore MLOps concepts, monitoring, feature stores, and ML lifecycle management Identify appropriate AWS AI/ML services for different business and application requirements This course is ideal for learners preparing for AWS AI/ML roles, Generative AI solutions, machine learning operations, cloud AI engineering, and AWS AI certification fundamentals.

Навыки, которые вы освоите

Data WranglingAmazon BedrockRetrieval-Augmented GenerationAWS SageMakerMLOps (Machine Learning Operations)Model DeploymentNatural Language ProcessingImage AnalysisGenerative AIAmazon Web ServicesModel TrainingPrompt EngineeringLarge Language ModelingGenerative AI AgentsArtificial Intelligence and Machine Learning (AI/ML)Artificial IntelligenceAI WorkflowsAgentic WorkflowsComputer Vision

Программа курса

3 модулей · 42 учебных материалов

01Advanced GenAI Techniques14 материалов

Building Advanced GenAI Applications on AWS

Welcome to the CourseЧтениеOverview of Advanced GenAI TechniquesЧтениеUnderstanding RAG Architecture of LLMВидеоAWS Services for Storage of Vector EmbeddingsВидео

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Преподаватель курса

AI/ML & Advanced AWS Services
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Обучение на Coursera

≈ 6.7 ч

3 модулей

Язык: Английский

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

Часть программы вашего университета
Amazon Bedrock RAG & Knowledge Base - DemoВидео
Amazon Bedrock - GuardRailsВидео
Amazon Bedrock - GuardRails - DemoВидео
Amazon Bedrock AgentsВидео
Amazon Bedrock Integrations - Cloudwatch - S3Видео
PartyRock - Amazon Bedrock PlaygroundВидео
Amazon Bedrock - PricingВидео
Meet & GreetОбсуждение
Building Advanced GenAI Applications on AWS - Knowledge CheckЗадание
Advanced GenAI Techniques - AssessmentЗадание
02AWS AI Services15 материалов

Applied AI Services on AWS

Overview of AWS AI ServicesЧтениеAmazon ComprehendВидеоAmazon TranslateВидеоAmazon Transcribe ВидеоAmazon PollyВидеоAmazon RekognitionВидеоAmazon LexВидеоAmazon KendraВидеоAmazon Mechanical TurkВидеоAmazon Augmented AI (A2I)ВидеоAmazon PersonalizeВидеоAmazon TextractВидеоApplied AI Services on AWS - Knowledge CheckЗаданиеAWS AI Services - AssessmentЗаданиеAWS AI Services & Intelligent Application Development CoachDIALOGUE
03Machine Learning & MLOps13 материалов

ML Workflows & Operational Excellence on AWS

Overview of Machine Learning & MLOpsЧтениеIntroduction to Amazon SagemakerВидеоAmazon Sagemaker - DemoВидеоAmazon Sagemaker Data Wrangler - Deep DiveВидеоAmazon Sagemaker Feature Store - Deep DiveВидеоAmazon Sagemaker Model Monitor - Deep DiveВидеоAmazon Sagemaker JumpstartВидеоWhat is MLOps ?ВидеоAWS Services for MLOpsВидеоML Workflows & Operational Excellence on AWS - Knowledge CheckЗаданиеMachine Learning & MLOps - AssessmentЗаданиеCourse ConclusionЧтениеIntelliCore AI Labs – AWS SageMaker & MLOps Readiness ReviewDIALOGUE