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Mastering Microsoft Azure AI Fundamentals · LearnSpace
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courseraIT и технологии

Mastering Microsoft Azure AI Fundamentals

Курс от Whizlabs
Начальный≈ 17.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course provides a comprehensive understanding of Azure AI, Machine Learning, and Data Science, integrating fundamental concepts with advanced tools and solutions. You will explore core principles of Azure Machine Learning, delve into powerful Computer Vision and Natural Language Processing (NLP) features, and unlock generative AI capabilities with Azure OpenAI and Azure AI Foundry. The course emphasizes practical knowledge, guiding you through real-world applications to build intelligent solutions. The AI-900 course introduces the fundamental concepts of AI and the services available in Microsoft Azure to create AI solutions. It focuses on building awareness of common AI workloads and identifying Azure services to support them. The course includes: This course facilitates learners with approximately 6:30-7:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. The course is divided into 5 Modules, each further divided into lessons. To test learners' understanding, every module includes Assignments in the form of Quizzes and In-Video Questions. Module 1: Azure AI, ML, and Data Science: Fundamentals Module 2: Azure Machine Learning Principles Module 3: Azure Computer Vision: Solutions and Tools Module 4: Azure Natural Language Processing (NLP): Scenarios, Features, and Tools Module 5: Generative AI workloads on Azure [Azure OpenAI - Azure AI Foundry]

Навыки, которые вы освоите

Model EvaluationModel DeploymentPrompt Engineering

Программа курса

5 модулей · 87 учебных материалов

01Azure AI, ML and Data Science: Fundamentals25 материалов

Course Introduction

Welcome to the CourseЧтениеAzure AI, ML and Data Science: Fundamentals - OverviewЧтениеAzure AI Services - OverviewВидеоWhat are Azure AI Solutions - Part 1Видео

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Преподаватель курса

Mastering Microsoft Azure AI Fundamentals
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 17.7 ч

5 модулей

Язык: Английский

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

Часть программы вашего университета
What are Azure AI Solutions - Part 2Видео
Azure Machine Learning Services OverviewВидео
Course Introduction - Practice AssignmentЗадание
Meet and GreetЧтение

Introduction to Azure ML and Data Science Concepts

Data Science and Data Scientist - OverviewВидеоData Scientist Skills - OverviewВидеоData Science Processes - OverviewВидеоMachine Learning Solutions for Data ScientistsВидеоWhat is Machine Learning?ВидеоTypes of Machine LearningВидеоExploring different data aspects in machine learningВидеоIntroduction to Azure ML and Data Science Concepts - Practice AssignmentЗадание

Artificial Intelligence Workloads & Considerations

Common AI Workloads - OverviewВидеоResponsible AI Guiding PrinciplesВидеоReliability and safety in an AI solutionВидеоPrivacy and security in an AI solutionВидеоInclusiveness in an AI solutionВидеоTransparency in an AI solutionВидеоAccountability in an AI solutionВидеоArtificial Intelligence Workloads & Considerations - Practice AssignmentЗаданиеAzure AI, ML and Data Science: Fundamentals - Graded AssignmentЗадание
02Azure Machine Learning Principles13 материалов

Azure Machine Learning: Core Concepts, Techniques and Capabilities

Azure Machine Learning Principles - OverviewЧтениеCommon terminologies used in Machine LearningВидеоMachine Learning ModelsВидеоDeep Learning : Overview, Features and TechniquesВидеоIntroduction to AutoMLВидеоRun an Automated Machine Learning experimentВидеоIdentify Data Source and FormatВидеоIdentify Machine Learning TasksВидеоChoosing a Service to Train a ML ModelВидеоFeatures and labels in a dataset for machine learningВидеоTraining and validation datasets in machine learningВидеоAzure Machine Learning: Core Concepts, Techniques and Capabilities - Practice AssignmentЗаданиеAzure Machine Learning Principles - Graded AssignmentЗадание
03Azure Computer Vision: Solutions, Features, and Tools14 материалов

Azure Computer Vision: Solutions and Tools

Azure Computer Vision: Solutions and Tools - OverviewЧтениеImage classificationВидеоObject detectionВидеоOptical character recognitionВидеоObject Detection and Image Tagging in Azure AI VisionВидеоOCR for images - Azure AI VisionВидеоAzure AI Vision - OverviewВидеоAzure AI Custom Vision - OverviewВидеоAzure AI Custom Vision - DemoВидеоAzure AI Face service: OverviewВидеоAzure AI Face service: Demo - Part1ВидеоAzure AI Face service: Demo - Part2ВидеоAzure Computer Vision: Solutions and Tools - Practice AssignmentЗаданиеAzure Computer Vision: Solutions, Features, and Tools - Graded AssignmentЗадание
04Azure Natural Language Processing (NLP): Scenarios, Features, and Tools17 материалов

NLP Workload Overview & Features

Azure Natural Language Processing (NLP): Scenarios, Features, and Tools - OverviewЧтениеNatural language processing [NLP]: Overview, Workload Scenarios and FeaturesВидеоKey phrase extractionВидеоEntity recognitionВидеоSentiment analysisВидеоLanguage detectionВидеоSpeech recognition and synthesisВидеоUses for translationВидеоNLP Workload Overview & Features - Practice AssignmentЗадание

Azure tools and services for NLP workloads

Azure AI Speech Service: OverviewВидеоAzure AI Speech Service: Demo - Part1ВидеоAzure AI Speech Service: Demo - Part2ВидеоAzure AI Language - Part 1ВидеоAzure AI Language - Part 2ВидеоAzure AI Language - DemoВидео
05Generative AI workloads and Features on Azure 18 материалов

Azure OpenAI: Service Models & Capabilities

Generative AI workloads on Azure - OverviewЧтениеGenerative AI Solutions - OverviewВидеоGenerative AI Features and Common ScenariosВидеоResponsible AI considerations for generative AIВидеоAzure OpenAI - Overview and Service Models Part 1ВидеоAzure OpenAI - Overview and Service Models Part 2ВидеоGenerate images with Azure OpenAI ServiceВидеоAzure OpenAI Service - Natural Language SolutionsВидеоAzure OpenAI: Service Models & Capabilities - Practice AssignmentЗадание

Azure AI Foundry: Service Models & Capabilities

Azure AI Foundry - Overview and DemoВидеоRetrieval Augmented Generation (RAG) in Azure AI and ML: OverviewВидеоOptimizing Models: Fine-Tuning, RAG and Application StrategiesВидеоModel Catalog and Collections [Azure AI Foundry and ML]-OverviewВидеоModel Catalog and Collections [Azure AI Foundry and ML]-ComputeВидеоAzure AI Foundry: Service Models & Capabilities - Practice AssignmentЗадание
Azure tools and services for NLP workloads - Practice AssignmentЗадание
Azure Natural Language Processing (NLP): Scenarios, Features, and Tools - Graded AssignmentЗадание
Generative AI workloads on Azure - Graded AssignmentЗадание
What's Next?Чтение
Course Conclusion and Key TakeawaysЧтение