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所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-ai-900-certification-6-practice-tests-268-questions/
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课程名称：Microsoft Azure AI-900 认证 6 次模拟考试 课程概述：本课程专注于 Microsoft Azure AI 基础认证，即 AI-900 认证考试。AI-900 认证考试通常包含 40 到 60 道题目，考试时长为 45 到 60 分钟。通过此认证，您能够证明自己具备描述以下内容的能力：AI 工作负载和注意事项；Azure 上机器学习的基本原理；Azure 上计算机视觉工作负载的特性； Azure 上自然语言处理 (NLP) 工作负载的特性；Azure 上对话 AI 工作负载的特性。 认证的技能评估包括： - 描述 AI 工作负载和注意事项（占 15-20%） - 描述 Azure 上机器学习的基本原理（占 30-35%） - 自动化机器学习 - 回归模型 - 分类模型 - 聚类模型 - 描述 Azure 上计算机视觉工作负载的特性（占 15-20%） - 使用计算机视觉服务分析图像 - 图像分类 - 目标检测 - 人脸服务 - 使用计算机视觉服务读取文本 - 表单识别器 - 描述 Azure 上自然语言处理 (NLP) 工作负载的特性（占 15-20%） - 文本分析 - 语音识别与合成 - 文本和语音翻译 - 语言理解 - 描述 Azure 上对话 AI 工作负载的特性（占 15-20%） 候选人应具备基础的机器学习和人工智能概念知识及相关的 Microsoft Azure 服务知识。此考试为候选人提供了一个展示对普通机器学习和人工智能工作负载知识以及如何在 Azure 上实施这些工作负载的机会。该考试适合技术和非技术背景的候选人，虽然不要求数据科学和软件工程经验，但一些一般的编程知识或经验将是有利的。 Azure AI 基础认证可以用于准备其他基于 Azure 角色的认证，如 Azure 数据科学家助理或 Azure AI 工程师助理，但不是任何认证的先决条件。
Microsoft Azure AI Fundamentals certification which is also known as AI 900 certification.AI 900 certification generally have 40 to 60 questions. Even the duration of exam generally varies from 45 min to 60 min.As per the information provided by Microsoft this certification provides a chance to prove that you can describe the following: AI workloads and considerations;Fundamental principles of machine learning on Azure; Features of computer vision workloads on Azure; Features of Natural Language Processing (NLP) workloads on AzureFeatures of conversational AI workloads on Azure.Below information provided in the official website regarding the certification and weightage for each topic.Skills measuredDescribe AI workloads and considerations (15-20%)Describe fundamental principles of machine learning on Azure (30-35%)Automated Machine LearningRegression ModelClassification ModelClustering ModelDescribe features of computer vision workloads on Azure (15-20%)Analyze images with the Computer Vision serviceImage classificationObject detectionFace serviceRead text with Computer Vision serviceForm recognizerDescribe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Text analyticsRecognize and synthesize speechTranslate text and speechLanguage understandingDescribe features of conversational AI workloads on Azure (15-20%)Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it's not a prerequisite for any of them.
