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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-unique-mock-exams-to-ace-your-certification-d/
课程评论：没有评论
课程名称：AI-900 - 独特模拟考试助您通过认证！ 概述：您是否希望获得人工智能与Azure认证，但不知道从何开始？这门课程将是您的理想选择。课程提供5套独特模拟考试，每套包含40个涵盖重要主题的独特问题，从机器学习基础到负责任的人工智能考量，均有涉及。由专家设计的这些测试不仅能帮助您为真实考试做好准备，还提供每个答案的详细解释，确保您理解背后的“为什么”。通过课程，您将获得通过认证考试所需的信心和知识，助您第一次顺利通过认证考试！ 课程内容： - 人工智能工作负载：了解常见AI和异常检测工作负载的特征和要求。 - 机器学习基础：深入学习机器学习的类型，如回归、分类和聚类，并掌握特征和标签等核心概念。 - 计算机视觉：熟悉图像分类、目标检测和光学字符识别解决方案。 - 自然语言处理（NLP）：掌握关键主题，如关键词提取、实体识别、情感分析和语言建模。 - 负责任的人工智能：学习负责任人工智能的指导原则，包括公平性、可靠性、安全性、隐私和包容性等考量。 充分释放您的潜力，掌握人工智能与Azure技术。立即报名，开始您通往成功职业生涯的旅程，并自信轻松地通过AI-900认证考试！
Are you aiming to get certified in AI and Azure but don't know where to start? Look no further. This course offers 5 distinct mock exams, each with 40 unique questions that span across essential topics-from machine learning fundamentals to responsible AI considerations. Designed by experts, these tests not only prepare you for the real exam but also provide detailed explanations for each answer to ensure you understand the 'why' behind them. Gain the confidence and knowledge you need to pass your certification exam on the first try! Artificial Intelligence Workloads: Understand the characteristics and requirements of common AI and anomaly detection workloads. Machine Learning Fundamentals: Dive deep into machine learning types like regression, classification, and clustering, and grasp core concepts such as features and labels. Computer Vision: Get familiar with image classification, object detection, and optical character recognition solutions. Natural Language Processing (NLP): Master key topics like key phrase extraction, entity recognition, sentiment analysis, and language modeling. Responsible AI: Learn the guiding principles for responsible AI, including considerations for fairness, reliability, safety, privacy, and inclusiveness.Unlock your full potential in AI and Azure technologies. Enroll today to start your journey towards a rewarding career and ace the AI-900 certification exam with confidence and ease!
