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所在平台: Udemy |
课程主页: https://www.udemy.com/course/exam-microsoft-azure-4/
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**课程名称：** AI-900 Microsoft Azure AI 基础认证（v3.0 - 2025年1月发布） **课程概述：** 本课程为备考 Microsoft Azure AI 基础认证（Exam AI-900）的学生而设计。课程内容已全部更新并重新录制，以反映 Azure 平台服务的最新变化，并与考试目标保持一致。新增了练习测试中的附加问题，以帮助学员更好地巩固知识。 **课程目标：** 本课程涵盖以下考试目标： * **讲解 AI 工作负载及考量（15-20%）**：涵盖 AI 基于工作负载的基础知识。 * **讲解 Azure 上机器学习的基本原理（30-35%）**：深入理解机器学习，并通过实验了解 Azure 机器学习服务的操作。 * **讲解 Azure 计算机视觉工作负载的特性（15-20%）**：探索计算机视觉服务的不同功能，包括自定义视觉、人脸识别和表单识别服务。 * **讲解自然语言处理（NLP）工作负载的特性（15-20%）**：介绍文本分析、语言理解智能服务（LUIS）以及语音服务等。 * **讲解对话式 AI 工作负载的特性（15-20%）**：了解 QnA Maker 服务和 Bot Framework 的基础知识。 **课程特色：** * **最新内容**：v3.0 版本全面更新，所有章节均重新录制，确保内容时效性。 * **考试导向**：紧密围绕 AI-900 考试目标，助力考生通过认证。 * **实践导向**：提供大量实验，让学员亲手操作 Azure 上的机器学习和人工智能服务。 * **题库更新**：练习测试和各部分章节末尾均新增了练习题，加强学习效果。
Release v3.0 - January 2025The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform. All course contents have also been aligned as per any changes to the course objectives.Additional questions also added to the Practice Tests available at the end of the course.Release v2.0 - July 2023The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform. All course contents have also been aligned as per any changes to the course objectives.Quiz questions have also been added to the end of each section.This course is a preparation course for students who want to attempt the Exam AI-900: Microsoft Azure AI FundamentalsThis course has contents for the Exam AI-900The objectives covered in this course areDescribe AI workloads and considerations (15-20%) - Here we will discuss the the basics on AI-based workloads.Describe fundamental principles of machine learning on Azure (30-35%) - Here we will understand what is Machine Learning. We will also look at labs on how to work with the Machine Learning service.Describe features of computer vision workloads on Azure (15-20%) - Here we will look at the different features of the Computer Vision service. We will also look at the Custom Vision service, the Face service and the Form Recognizer service.Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) - Here we will look at services such the Text Analytics service, the Language Understanding Intelligence Service , the Speech service.Describe features of conversational AI workloads on Azure (15-20%) - Here we will see the basics on the QnA Maker service and the Bot Framework.There is also a number of labs available in this course. These labs focus on the different services available in Azure when it comes to Machine Learning and Artificial Intelligence.
