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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-azure-ai-fundamentals-practice-tests-v/
课程评论：没有评论
课程名称：AI-900 Azure AI 基础知识实践测试 课程概述：欢迎参加针对AI-900 Microsoft Azure AI 基础知识认证的实践测试！这一系列实践测试将帮助您快速练习和学习实际考试中的概念，题目每月更新。 关于 Microsoft Azure AI 基础知识认证：参加此考试的候选人应具备机器学习（ML）和人工智能（AI）概念的基础知识，以及相关的 Microsoft Azure 服务。此考试提供了一个展示对常见 ML 和 AI 工作负载及其在 Azure 上实施知识的机会。该考试面向具有技术和非技术背景的考生。虽然不需要数据科学和软件工程的经验，但一些通用编程知识或经验将是有益的。 为什么选择 Microsoft Azure AI？在过去的几年中，微软在云服务市场的份额急剧增长，许多企业已开始其云之旅。因此，Azure 认证不仅备受推崇，也是就业市场上非常受尊重的认证。 涵盖的主题： - 描述 AI 工作负载及考虑因素（15-20%） - 描述 Azure 上机器学习的基本原理（30-35%） - 描述 Azure 上计算机视觉工作负载的特征（15-20%） - 描述 Azure 上自然语言处理（NLP）工作负载的特征（15-20%） - 描述 Azure 上对话 AI 工作负载的特征（15-20%） 课程大纲：无
Welcome to these practice tests for the AI-900 Microsoft Azure AI Fundamentals! This set of practice tests will help you to practice and learn concepts quickly with questions asked in the actual exam certification. The questions are updated monthly.About the Microsoft Azure AI Fundamentals certificationCandidates for this exam should have the 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 is not required; however, some general programming knowledge or experience would be beneficial.Why Microsoft Azure AI?Microsoft's market share in cloud services has increased exponentially in the last couple of years and many enterprises have started their journey on the cloud. Hence, not only coveted, but Azure certifications are very well respected certifications in the job market too.Topics covered in these practice examsDescribe 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%)
