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所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-ai-fundamentals/
课程评论：没有评论
课程名称：AI-900：微软Azure AI基础课程 - 2022年5月 课程概述：人工智能和机器学习即将主导未来的科技。微软Azure专注于机器学习创新，这是其在Azure AI领域日益受到欢迎的主要原因之一。因此，许多有志者正在寻找可以有效准备AI-900考试的可靠方法。这项AI-900认证是基础级别的认证考试，因此无论是技术背景还是非技术背景的候选人都可以参与。AI-900认证考试不需要软件工程或数据科学的经验，能够帮助你为Azure AI工程师助理或Azure数据科学家助理认证建立基础。 课程时长：8小时以上的内容，包括练习测试、小测验等。 课程内容：提供完整的PPT、演示资源及其他学习材料，终身访问权，结业证书、30天退款保证。课程包含丰富的练习问题，以帮助学员准备考试，尽管考试中没有实验室考核，但我会尽可能实际演示概念，以确保你对这些概念充满信心。 考试格式与信息： - 考试名称：AI-900: Microsoft Azure AI基础 - 考试时长：60分钟 - 考试类型：选择题 - 问题数量：40 - 60题 - 考试费用：99美元 - 资格要求：无 - 考试有效期：1年 - 考试语言：英语、日语、韩语和简体中文 考试涵盖的主题： 1. 描述AI工作负载及考虑因素（15-20%） 2. 描述Azure上的机器学习基本原理（30-35%） 3. 描述Azure上的计算机视觉工作负载的特点（15-20%） 4. 描述Azure上的自然语言处理（NLP）工作负载的特点（15-20%） 5. 描述Azure上的对话式AI工作负载的特点（15-20%） 考试主题细节： - **领域1：描述AI工作负载及考虑因素** - 识别常见AI工作负载中的特征 - 识别负责任AI的指导原则 - **领域2：描述Azure上的机器学习基本原理** - 识别常见机器学习变体 - 描述核心机器学习概念 - 识别创建机器学习解决方案中的核心风险 - 描述Azure机器学习的无代码机器学习功能 - **领域3：描述Azure上的计算机视觉工作负载的特点** - 识别常见类型的计算机视觉解决方案 - 识别用于计算机视觉任务的Azure工具和服务 - **领域4：描述Azure上的自然语言处理（NLP）工作负载的特点** - 识别常见NLP工作负载场景中的特征 - 识别用于NLP工作负载的Azure工具和服务 - **领域5：描述Azure上的对话式AI工作负载的特点** - 识别对话式AI的常见用例 - 识别用于对话式AI的Azure服务 祝学习愉快！Eshant Garg
Should you take AI-900 Exam?Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. Therefore, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.The interesting fact about the AI-900 certification is that it is a fundamental-level certification exam. Therefore, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. In addition, there is no requirement for software engineering or data science experience for the AI-900 certification exam.The AI-900 certification can also help you build the foundation for Azure AI Engineer Associate or Azure Data Scientist Associate certifications.Course last updated - May 2022~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~What includes in this course?8+ hrs. of content, Practice test, quizzes, etc.PPT, Demo resources, and other study materialFull lifetime accessCertificate of course completion30-days Money-Back GuaranteeThis course has more than enough practice questions to get you to prepare for the exam. Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Exam Format and InformationExam Name Exam AI-900: Microsoft Azure AI FundamentalsExam Duration 60 MinutesExam Type Multiple Choice ExaminationNumber of Questions 40 - 60 QuestionsExam Fee $99Eligibility/Pre-requisite NoneExam validity 1 yearExam Languages English, Japanese, Korean, and Simplified Chinese~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~The AI-900 exam covers the following topics:Describe AI workloads and considerations (15-20%)Describe fundamental principles of machine learning on Azure (30-35%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Describe features of conversational AI workloads on Azure (15-20%)~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Exam Topics in detailDomain 1: Describing AI workloads and considerationsThe subtopics in this domain include,Identification of features in common AI workloadsIdentification of guiding principles for responsible AIDomain 2: Describing fundamental principles of machine learning on AzureThe subtopics in this domain include,Identification of common machine learning variantsDescription of core machine learning conceptsIdentification of core risks in the creation of a machine learning solutionDescription of capabilities of no-code machine learning with Azure Machine LearningDomain 3: Description of features in computer vision workloads on AzureThe subtopics in this domain include,Identification of common types of computer vision solutionsIdentification of Azure tools and services for computer vision tasksDomain 4: Describing features of Natural Language Processing (NLP) workloads on AzureThe subtopics in this domain are as follows,Identification of features in common NLP workload scenariosIdentifying Azure tools and services for NLP workloadsDomain 5: Description of features of conversational AI workloads on AzureThe subtopics in this domain include,Identification of common use cases for conversational AIIdentifying Azure services for conversational AIHappy Learning!!Eshant Garg
