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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-exam-ai-900-microsoft-azure-ai-fundamentals-r/
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**Coursera 课程总结：AI-900 Microsoft Azure AI 基础知识实践考试** 本 Coursera 课程“AI-900 Microsoft Azure AI 基础知识实践考试”旨在通过一系列全面的选择题，帮助您为 Microsoft Azure AI 基础知识考试（AI-900）做好准备。 **课程目标：** * **提升 AI 准备水平：** 通过模拟考试，检验您对 Azure AI 基础知识的掌握程度。 * **获得考试反馈：** 完成每次模拟考试后，您将能查看考试分数及每道题的正确答案，以便针对性地复习。 * **巩固 Azure AI 知识：** 强化您在 Microsoft Azure 平台上的人工智能和机器学习基础知识，并提升在 Azure 环境中处理 AI 相关工作负载的专业技能。 * **为官方认证铺路：** 是希望了解 Microsoft Azure 中人工智能及其相关服务的学习者的理想起点，为通过官方 AI：基础知识考试奠定坚实基础。 **课程结构：** 本实践考试内容基于以下五个模块： 1. **人工智能导论：** 涵盖人工智能的常见用途及各类AI工作负载。 2. **机器学习基础概念：** 介绍机器学习的基本概念，以及如何利用 Azure 的机器学习服务创建和发布机器学习模型。 3. **计算机视觉：** 探讨计算机视觉技术和服务，重点在于如何通过图像、视频文件和摄像头理解世界。 4. **自然语言处理：** 学习 Azure 服务，它们能够用于构建分析文本、识别和合成语音、翻译语言以及解释命令的解决方案。 5. **对话式 AI：** 重点介绍对话式 AI，即用户通过各种沟通渠道与 AI 代理或机器人进行对话。 **重要提示：** 本实践考试是对您学习的宝贵补充，旨在辅助您的学习过程，而非替代正式的学习材料。
Practice Exam Overview:The Practice Exam- AI-900: Microsoft Azure AI Fundamentals is designed to enhance your preparation through a set of comprehensive multiple-choice questions. Upon successfully completing each exam, you can view your exam score and the correct choices for each question.The Practice Exam- AI-900: Microsoft Azure AI Fundamentals, designed to equip you with foundational knowledge in artificial intelligence and machine learning on the Microsoft Azure platform. The Practice Exam- AI-900: Microsoft Azure AI Fundamentals offers an excellent opportunity for you to enhance your expertise in AI-related workloads within the Microsoft Azure environment. This Practice Exam is tailored for individuals seeking to understand artificial intelligence and related services in Microsoft Azure, serving as a valuable stepping stone for those pursuing official AI: Fundamentals exam.Practice Exam Exam Structure:The Practice Exam sets are Prepared based on five modules, i.e.Introduction to AI: common uses of artificial intelligence and various AI workloads. Fundamental Machine Learning Concepts: fundamental machine learning concepts and to create and publish machine learning models using Azure's machine learning services.Computer Vision: computer vision techniques and services, focusing on understanding the world visually through images, video files, and cameras.Natural Language Processing: Azure services for building solutions that analyze text, recognize and synthesize speech, translate languages, and interpret commands.Conversational AI: conversational AI, users dialogues with AI agents or bots through various communication channels.These practice exams serve as a valuable supplement to your studies, complementing your learning journey rather than serving as a replacement.,
