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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-mastery-ultimate-practice-tests-updated-feb-2025/
课程评论：没有评论
课程名称：AI-900 精通：终极练习测试（2025年6月更新） 课程概述：本课程包含6个全面的练习测试，涵盖超过250个问题，旨在模拟实际AI-900考试的风格和难度。这些测试帮助您评估自己的准备情况，并完善考试策略。课程内容与更新后的考试大纲（2025年2月）相一致，主要涵盖以下关键领域： 1. 描述人工智能工作负载和考虑因素（15-20%） - 探索常见的人工智能工作负载及其应用。 - 理解人工智能解决方案的关键考虑因素，包括伦理影响、偏见检测及负责任的人工智能实践。 - 学习不同类型的人工智能解决方案及其在各种场景中的适用性。 2. 了解Azure上的机器学习基本原理（20-25%） - 掌握机器学习的核心概念，包括监督学习、无监督学习和强化学习。 - 理解如何在Azure上训练和评估机器学习模型。 - 探索不同的机器学习算法及其使用案例。 3. 描述Azure上的计算机视觉工作负载特征（15-20%） - 发现Azure上的计算机视觉能力，包括图像识别、物体检测和面部分析。 - 学习Azure的计算机视觉服务及如何将其集成到您的应用程序中。 - 探索计算机视觉在各行业中的实际应用。 4. 描述Azure上的自然语言处理（NLP）工作负载特征（15-20%） - 理解Azure上自然语言处理的能力，包括情感分析、文本摘要和语言翻译。 - 学习Azure的NLP服务及如何将其用于您的项目。 - 探索自然语言处理在客户服务和内容创作等领域的实际应用。 5. 描述Azure上的生成式人工智能工作负载特征（15-20%） - 探索Azure上生成式人工智能的激动人心的领域，包括文本生成、图像创建和代码生成。 - 理解Azure生成式人工智能服务的能力及其潜在影响。 - 学习关于生成式人工智能的伦理考虑和负责任的使用。 本课程为希望掌握人工智能相关知识并准备AI-900考试的学习者提供了详细的练习和指导。
This course includes 6 comprehensive practice tests with more than 250 questions designed to mirror the style and difficulty of the actual real AI-900 exam. These tests help you assess your readiness and refine your test-taking strategies.Our course aligns with the updated exam content (February 2025) and covers key areas:Describe Artificial Intelligence workloads and considerations (15-20%)Explore common AI workloads and their applications.Understand key considerations for AI solutions, including ethical implications, bias detection, and responsible AI practices.Learn about different types of AI solutions and their suitability for various scenarios.Describe fundamental principles of machine learning on Azure (20-25%)Grasp the core concepts of machine learning, including supervised, unsupervised, and reinforcement learning.Understand how to train and evaluate machine learning models on Azure.Explore different machine learning algorithms and their use cases.Describe features of computer vision workloads on Azure (15-20%)Discover the capabilities of computer vision on Azure, including image recognition, object detection, and facial analysis.Learn about Azure's computer vision services and how to integrate them into your applications.Explore practical applications of computer vision in various industries.Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Understand the power of Natural Language Processing (NLP) on Azure, including sentiment analysis, text summarization, and language translation.Learn about Azure's NLP services and how to leverage them for your projects.Explore real-world applications of NLP in areas like customer service and content creation.Describe features of generative AI workloads on Azure (15-20%)Explore the exciting world of generative AI on Azure, including text generation, image creation, and code generation.Understand the capabilities of Azure's generative AI services and their potential impact.Learn about the ethical considerations and responsible use of generative AI.
