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Microsoft Azure AI Fundamentals AI-900 Exam Guide · LearnSpace
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courseraIT и технологии

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Курс от Packt
Начальный≈ 10.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course provides a clear understanding of core AI concepts, Microsoft Azure AI services, and the essential strategies behind responsible and effective AI implementation. Learners will gain foundational knowledge that is increasingly valuable across technology, business, and data-driven roles. By exploring real Azure tools and services, you will learn how to apply AI workloads, understand machine learning fundamentals, and recognize key use cases in computer vision, natural language processing, and generative AI. This course equips you with the practical insights needed to confidently prepare for the AI-900 certification and apply your skills professionally. The curriculum blends theory with hands-on examples, providing both conceptual clarity and demonstrations of Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Service. You’ll see how real-world AI solutions are designed, deployed, and evaluated. This course is ideal for beginners, aspiring AI practitioners, IT professionals, and business users looking to understand AI on Azure. No prior coding or data science experience is required.

Навыки, которые вы освоите

OpenAIMicrosoft AzureGenerative AIModel EvaluationModel DeploymentResponsible AIData PreprocessingSupervised LearningAI literacyFeature EngineeringAI WorkflowsComputer VisionModel TrainingMachine LearningApplied Machine LearningNatural Language ProcessingData EthicsMachine Learning AlgorithmsArtificial IntelligenceImage Analysis

Программа курса

11 модулей · 63 учебных материалов

01Identify Features of Common AI Workloads7 материалов

Lesson 1

Course OverviewВидеоIdentify Features of Common AI Workloads - Overview VideoВидеоIntroductionЧтениеIdentify Features of Data Monitoring and Anomaly Detection WorkloadsЧтение

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Packt - Course Instructors

Преподаватель курса

Microsoft Azure AI Fundamentals AI-900 Exam Guide
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в новой вкладке

Обучение на Coursera

≈ 10.9 ч

11 модулей

Язык: Английский

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

Часть программы вашего университета
Identify Computer Vision WorkloadsЧтение
Identify Document Intelligence WorkloadsЧтение
Exploring AI Workload CharacteristicsЗадание
02Identify the Guiding Principles for Responsible AI4 материалов

Lesson 1

Identify the Guiding Principles for Responsible AI - Overview VideoВидеоIntroductionЧтениеUnderstand Explainable PrinciplesЧтениеResponsible AI Guiding PrinciplesЗадание
03Identify Common Machine Learning Techniques10 материалов

Lesson 1

Identify Common Machine Learning Techniques - Overview VideoВидеоIntroductionЧтениеUnsupervised Machine Learning TechniquesЧтениеMean Squared ErrorЧтениеSpecificityЧтениеPractice: Choose the Right Metric for the JobDIALOGUEEvaluation MetricsЧтениеDavies-Bouldin IndexЧтениеIdentify Features of Deep Learning TechniquesЧтениеFoundations of Machine Learning TechniquesЗадание
04Describe Core Machine Learning Concepts5 материалов

Lesson 1

Describe Core Machine Learning Concepts - Overview VideoВидеоIntroductionЧтениеConsulting with ExpertsЧтениеDescribe How Training and Validation Datasets Are Used in Machine LearningЧтениеFoundations of Machine Learning and Data PreparationЗадание
05Describe Azure Machine Learning Capabilities8 материалов

Lesson 1

Describe Azure Machine Learning Capabilities - Overview VideoВидеоIntroductionЧтениеFeature EngineeringЧтениеPractice: Design an Azure ML ProjectDIALOGUEDatastoreЧтениеApplication InsightsЧтениеMLOpsЧтениеAzure Machine Learning FundamentalsЗадание
06Identify Common Types of Computer Vision Solutions5 материалов

Lesson 1

Identify Common Types of Computer Vision Solutions - Overview VideoВидеоIntroductionЧтениеIdentify Features of Image Classification SolutionsЧтениеIdentify Features of OCR SolutionsЧтениеExploring Computer Vision TechniquesЗадание
07Identify Azure Tools and Services for Computer Vision Tasks4 материалов

Lesson 1

Identify Azure Tools and Services for Computer Vision Tasks - Overview VideoВидеоIntroductionЧтениеOCR SolutionsЧтениеExploring Azure AI Vision and Face ServicesЗадание
08Identify Features of Common NLP Workload Scenarios5 материалов

Lesson 1

Identify Features of Common NLP Workload Scenarios - Overview VideoВидеоIntroductionЧтениеIdentify Features and Uses for Key Phrase ExtractionЧтениеIdentify Features and Uses for Speech Recognition and SynthesisЧтениеExploring Core NLP Workload ScenariosЗадание
09Identify Azure Tools and Services for NLP Workloads3 материалов

Lesson 1

Identify Azure Tools and Services for NLP Workloads - Overview VideoВидеоIdentify Azure Tools and Services for NLP Workloads - The ReadingЧтениеAzure NLP Tools and Services OverviewЗадание
10Identify Features of Generative AI Solutions8 материалов

Lesson 1

Identify Features of Generative AI Solutions - Overview VideoВидеоIntroductionЧтениеEmbeddingsЧтениеHow Does Generative AI Put All This TogetherЧтениеPractice: Analyze Ethical Risks in Generative AIDIALOGUEIdentify Common Scenarios for Generative AIЧтениеIdentify Responsible AI Considerations for Generative AIЧтениеExploring Generative AI TechnologiesЗадание
11Identify Capabilities of Azure OpenAI Service4 материалов

Lesson 1

Identify Capabilities of Azure OpenAI Service - Overview VideoВидеоIntroductionЧтениеAccessing Azure OpenAI ServicesЧтениеExploring Azure OpenAI Service FeaturesЗадание