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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-practice-test-200-questions/
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课程名称：AI-900 实践测试 200 道题目 课程概述：您是否正在为微软的 AI-900：Azure AI 基础认证做准备？本全面的 200 道题目实践测试旨在帮助您掌握考试中涉及的每个主题，包含实际场景的问答和详细的解答，以巩固您的学习。您将覆盖所有 AI-900 领域，包括：描述 AI 工作负载和考虑因素、理解 Azure 上机器学习的基本原则、探索 Azure 上计算机视觉工作负载的特性、理解自然语言处理 (NLP) 和对话 AI、掌握负责任的 AI 的基本内容——公正性、透明性、隐私和安全性。 您将获得的内容： - 200 道考试风格的多项选择题 - 分为 2 个完整的实践测试（每个 100 道题目） - 难度与实际 AI-900 考试相匹配 - 每个答案的深入解释——不仅仅是正确的答案，还有其原因 - 信心增强的准备，旨在提高您的分数 适合人群： - 探索 AI 和机器学习的初学者 - 希望验证其基础 Azure AI 知识的 IT 专业人士 - 准备参加首个 AI 认证的学生和技术爱好者 - 对 Azure 上的 AI 解决方案感兴趣的商业领袖和决策者 主要涵盖主题： - 人工智能 (AI) 的核心概念 - AI 的定义及其在各行业的应用 - AI、机器学习和深度学习之间的区别 - AI 工作负载和应用 - 计算机视觉、自然语言处理、对话 AI 和决策系统的实际案例 - 针对不同商业问题选择合适的 AI 服务 - Azure 上的机器学习基础 - 模型训练、推理及其类型（监督学习、无监督学习、强化学习）的基础知识 - Azure 机器学习、管道、数据集和部署的介绍 - Azure AI 服务概述 - 使用 Azure 认知服务，如表单识别器、翻译器、人脸 API 和文本分析 - 利用 Azure Bot Service 和 QnA Maker/Language Studio 进行对话 AI - Azure OpenAI 和基于 GPT 的模型简介 - 负责任的 AI 原则 - AI 开发中的公正性、隐私、问责和透明性 - 理解偏见及其在 AI 解决方案中的减少方法 - 考试风格的实践与信心建设 - 200 道真实考试风格的问题及完整解释 - 帮助识别薄弱环节，并巩固您的理解 - 模拟 AI-900 考试环境 这个课程将帮助您全面提升 AI 相关知识，为通过认证考试打下坚实基础。
Are you preparing for the Microsoft AI-900: Azure AI Fundamentals certification? This comprehensive 200-question practice test is designed to help you master every topic tested on the exam - with realistic, scenario-based questions and detailed explanations to reinforce your learning.You'll cover all AI-900 domains:Describe AI workloads and considerationsUnderstand fundamental principles of machine learning on AzureExplore features of computer vision workloads on AzureUnderstand Natural Language Processing (NLP) and conversational AIGrasp the essentials of responsible AI - fairness, transparency, privacy, and securityWhat You'll Get:200 exam-style multiple-choice questionsOrganized into 2 full-length practice tests (100 questions each)Realistic difficulty to match the actual AI-900 examIn-depth explanations for every answer - not just what's right, but whyConfidence-building preparation designed to boost your scoreWho Should Take This?Beginners exploring AI and machine learningIT pros looking to validate their foundational Azure AI knowledgeStudents and tech enthusiasts preparing for their first AI certificationBusiness leaders and decision-makers curious about AI solutions on AzureKey Topics Covered:Core Concepts of Artificial Intelligence (AI)What AI is and how it's used across industriesDifferences between AI, machine learning, and deep learningAI Workloads and ApplicationsReal-world use cases for computer vision, NLP, conversational AI, and decision systemsChoosing the right AI service for different business problemsMachine Learning Fundamentals on AzureBasics of model training, inference, and types of ML (supervised, unsupervised, reinforcement)Introduction to Azure Machine Learning, pipelines, datasets, and deploymentAzure AI Services OverviewUsing Azure Cognitive Services like Form Recognizer, Translator, Face API, Text AnalyticsLeveraging Azure Bot Service and QnA Maker/Language Studio for conversational AIIntro to Azure OpenAI and GPT-based modelsResponsible AI PrinciplesFairness, privacy, accountability, and transparency in AI developmentUnderstanding bias and how to reduce it in AI solutionsExam-Style Practice and Confidence Building200 real exam-style questions with full explanationsHelps identify weak areas and reinforce your understandingSimulates the AI-900 testing environment
