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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-azure-ai-fundamentals-ai-900-5-practice-exams/
课程评论：没有评论
课程名称：Microsoft Azure AI 基础知识 (AI-900) - 5场模拟考试 课程概述： Microsoft Azure AI 基础知识 (AI-900) 认证考试旨在帮助考生提升技能或验证知识，涵盖了微软官方的考试目标。主要内容包括： 1.1 识别常见 AI 工作负载的特点 1.2 识别负责任的 AI 指导原则 2.1 识别常见的机器学习技术 2.2 描述核心机器学习概念 2.3 描述 Azure 机器学习能力 3.1 识别常见的计算机视觉解决方案 3.2 识别用于计算机视觉任务的 Azure 工具和服务 4.1 识别常见自然语言处理 (NLP) 工作场景的特点 4.2 识别用于 NLP 工作负载的 Azure 工具和服务 5.1 识别生成 AI 解决方案的特点 5.2 识别 Azure OpenAI 服务的能力 这套模拟考试包含了正确和错误答案的详细解释，帮助未来的考生学习和理解与 Microsoft Azure AI 基础知识 (AI-900) 考试目标相关的概念和方法论。每场考试都有 60 分钟的答题时间，旨在为考生提供充分的时间来学习和确认技能，而非单纯的时间压力考试。课程内容聚焦于提供有关机器学习和 Microsoft Azure 服务的正确知识。 结束时，考生将更好地为官方 Microsoft Azure AI 基础知识 (AI-900) 认证考试做好准备。
The Microsoft Azure AI Fundamentals (AI-900) exam certification contains the official Microsoft objectives that will provide proper knowledge to the candidates with the goal to upgrade their skills or simply to confirm their knowledge. The main objectives are the following:1.1 Identify features of common AI workloads1.2 Identify guiding principles for responsible AI2.1 Identify common machine learning techniques2.2 Describe core machine learning concepts2.3 Describe Azure Machine Learning capabilities3.1 Identify common types of computer vision solution3.2 Identify Azure tools and services for computer vision tasks4.1 Identify features of common NLP Workload Scenarios4.2 Identify Azure tools and services for NLP workloads5.1 Identify features of generative AI solutions5.2 Identify capabilities of Azure OpenAI ServiceThis practice exam includes explanations for both correct and incorrect answers, providing future candidates to learn and understand the concepts and methodologies that are appended to the Microsoft Azure AI Fundamentals (AI-900) exam objectives while going through the practice exam.Each of the 5 exams grants the learner with a time length of 60 minutes in order to respond to multiple questions. The idea is to provide candidates with extended time to learn and confirm their skills while preparing for the certification.The intent here is not a "run against the clock" training exam. It is focused on providing the proper knowledge in regards to machine learning AI on Microsoft Azure services.The following objectives are covered:- How to describe Artificial Intelligence workloads and considerations- How to describe fundamental principles of machine learning on Azure- How to describe features of computer vision workloads on Azure- How to describe features of Natural Language Processing (NLP) workloads on Azure- How to describe features of generative AI workloads on AzureAt the end of this practice exam, candidates will be better prepared for the official Microsoft Azure AI Fundamentals (AI-900) certification exam.
