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AWS: Managed AI Services · LearnSpace
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AWS: Managed AI Services

Курс от Whizlabs
Средний≈ 5.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

AWS: Managed AI Services is the fifth course in the Exam Prep (MLA-C01): AWS Certified Machine Learning Engineer – Associate Specialization. This course is designed to help learners leverage powerful pre-trained AI services offered by AWS to accelerate the development of intelligent applications — without the need to build or train ML models from scratch. Through a practical, service-based approach, learners will explore AWS offerings for natural language understanding, speech processing, computer vision, personalized recommendations, intelligent search, and human-in-the-loop workflows. These services allow developers, data engineers, and ML practitioners to embed intelligence into applications at scale with minimal ML expertise. With real-world examples, this course demonstrates how to use services like Amazon Comprehend, Rekognition, Polly, Textract, Transcribe, Personalize, Kendra, and A2I (Augmented AI) to deliver business value through managed AI capabilities. This course is structured into two major modules, each containing focused lessons and guided walkthroughs. Learners will gain approximately 2.5 to 3 hours of hands-on video content, supported by Graded and Ungraded Quizzes to assess conceptual understanding and real-world application. Module 1: Natural Language, Speech & Vision AI Services on AWS Module 2: Intelligent Search, Personalization & Human-in-the-Loop AI By the end of this course, learners will be able to: Understand how AWS Managed AI Services solve common AI use cases without custom model development Integrate services for NLP, speech, and computer vision into applications Build personalized experiences and intelligent search solutions using Amazon Personalize and Kendra Incorporate human review using Amazon A2I for critical workflows requiring oversight This course is ideal for cloud developers, solution architects, data engineers, and ML beginners who want to integrate powerful AI capabilities without training models. It’s also tailored for learners preparing for the MLA-C01 certification, especially those aiming to master the application of AWS’s fully managed AI services in real-world use cases.

Навыки, которые вы освоите

Natural Language ProcessingFraud detectionAI PersonalizationPersonalized CampaignsAI IntegrationsUnstructured DataText MiningComputer VisionAmazon Web ServicesApplied Machine LearningArtificial IntelligenceData ProcessingAI WorkflowsArtificial Intelligence and Machine Learning (AI/ML)AI EnablementDocument ManagementImage Analysis

Программа курса

2 модулей · 29 учебных материалов

01Natural Language, Speech & Vision AI Services on AWS17 материалов

Language, Speech & Computer Vision Services on AWS

Welcome to the CourseЧтениеOverview of Data Storage & Real-Time Streaming on AWSЧтениеAmazon ComprehendВидеоAmazon Comprehend - DemoВидео

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Whizlabs Instructor

Преподаватель курса

AWS: Managed AI Services
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Обучение на Coursera

≈ 5.4 ч

2 модулей

Язык: Английский

Субтитры: Пушту, Дари, Казахский, Венгерский

Часть программы вашего университета
Amazon TranslateВидео
Amazon Translate - DemoВидео
Amazon TranscribeВидео
Amazon Transcribe - DemoВидео
Amazon PollyВидео
Amazon Polly - DemoВидео
Amazon RekognitionВидео
Amazon Rekognition - DemoВидео
Amazon LexВидео
Amazon Lex - DemoВидео
Meet and GreetОбсуждение
Language, Speech & Computer Vision Services on AWS - Knowledge CheckЗадание
Natural Language, Speech & Vision AI Services on AWS - AssessmentЗадание
02Intelligent Search, Personalization & Human-in-the-Loop AI12 материалов

Search, Personalization & Human-Centered AI

Overview of Intelligent Search, Personalization & Human-in-the-Loop AIЧтениеAmazon KendraВидеоAmazon Mechanical TurkВидеоAmazon Augmented AI (A2I)ВидеоAmazon PersonalizeВидеоAmazon TextractВидеоAmazon Fraud DetectorВидеоSearch, Personalization & Human-Centered AI - Knowledge CheckЗаданиеIntelligent Search, Personalization & Human-in-the-Loop AI - AssessmentЗаданиеCourse ConclusionЧтениеSpecialization ConclusionВидеоKey Takeaways of the courseЧтение