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Artificial Intelligence on Microsoft Azure · LearnSpace
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courseraIT и технологии

Artificial Intelligence on Microsoft Azure

Курс от Microsoft
Начальный≈ 3.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone. In this course, you will learn the key AI concepts of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. You’ll see some of the ways that AI can be used and explore the principles of responsible AI that can help you understand some of the challenges facing developers as they try to create ethical AI solutions. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the first course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them. This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.

Навыки, которые вы освоите

Responsible AIArtificial IntelligenceMicrosoft AzureAI WorkflowsAnomaly DetectionImage AnalysisComputer VisionData EthicsAI literacyArtificial Intelligence and Machine Learning (AI/ML)Machine LearningNatural Language Processing

Программа курса

1 модулей · 38 учебных материалов

01Artificial Intelligence workloads and considerations38 материалов

Artificial Intelligence Workloads

Introduction to the AI Fundamentals programВидеоIntroduction to Artificial Intelligence on Azure courseВидеоCareers in AIВидеоThe AI-900 CertificationВидео

Учитесь у экспертов

Microsoft

Преподаватель курса

Artificial Intelligence on Microsoft Azure
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 3.6 ч

1 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Course syllabusЧтение
Microsoft expert interviewВидео
How to be successful in this courseЧтение
Meet and greetОбсуждение
Additional resourcesЧтение

Artificial Intelligence Workloads

Lesson introductionВидеоWhat is AI? ​PLUGINThe features of machine learningВидеоYield and AI technologyPLUGINAnomaly DetectionВидеоComputer VisionВидеоExercise - Use Computer Vision service to analyze images​ЧтениеExercise quizЗаданиеNatural Language ProcessingВидеоNLP – Starship CommanderPLUGINConversational AIВидеоExercise - Interact with a healthcare botЧтениеExercise quizЗаданиеKnowledge checkЗаданиеAdditional resourcesЧтение

Guiding Principles for Responsible AI

Responsible AIВидеоResponsible AI - FairnessPLUGINResponsible AI – Reliability & SafetyPLUGINResponsible AI –Privacy & Security PLUGINResponsible AI - InclusivenessPLUGINResponsible AI - TransparencyPLUGINResponsible AI - AccountabilityPLUGINExercise​ - Explore responsible AI in practiceЧтениеHow can bias be built into AI solutions?​ОбсуждениеKnowledge checkЗаданиеTest Prep ЗаданиеWeekly SummaryВидео

Wrap-up

Course Wrap-up - What did you learn?ОбсуждениеWhat to expect nextЧтение