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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-azure-ai-900-latest-practice-test-2023/
课程评论：没有评论
课程名称：Microsoft Azure - AI 900 最新实践测试 - 2023 课程概述： 本课程专为初次接触 Microsoft Azure AI 900 的学员设计，帮助学员准备考试。课程包含独特的问题，且无重复，针对每个问题都有详细的解决方案解释，确保学员能充分理解相关内容。本课程将对学员非常有帮助。 关于 AI 900： AI-900 课程旨在提供人工智能（AI）概念及其在 Azure 中应用的基础理解。课程覆盖 AI 的基本原理、常见的 AI 工作负载，以及在 Azure 中构建 AI 解决方案所需的服务。 目标受众： 该课程适合对 AI 感兴趣并希望获得基本理解的个人，还特别面向需要了解 AI 能力以做出明智决策的商业利益相关者，如项目经理或销售代表。 课程内容： AI-900 课程涵盖以下关键主题的实践测试： 1. AI 介绍：理解基本概念、原理和 AI 类型。 2. 机器学习：探索机器学习的概念，包括监督学习、无监督学习和强化学习。 3. 计算机视觉：了解计算机视觉及其应用，如图像识别和物体检测。 4. 自然语言处理（NLP）：探索 NLP 概念，包括文本分析、情感分析和语言翻译。 5. 对话式 AI：学习对话式 AI 技术，如聊天机器人和虚拟代理。 6. 负责任的 AI：了解 AI 的伦理和负责任使用，包括公平性、透明性和隐私考虑。 7. Azure AI 服务：探索 Azure 提供的 AI 服务，如 Azure 认知服务和 Azure 机器学习。 本课程将为希望深入学习和应用 AI 概念的学员提供全面的准备和实践机会。
This course is for anyone who is new to Microsoft Azure AI 900 and is willing to take examination.This course contains unique questions and no repetition. Solution to each question is explained very well in this course.I assure you that you will find this course very useful.About AI 900==========The AI-900 course is designed to provide a foundational understanding of AI concepts and their application in Azure. It covers the fundamental principles of AI, common AI workloads, and the services available in Azure for building AI solutions.Target Audience: The course is suitable for individuals who are new to AI and want to gain a basic understanding of AI concepts and how they can be implemented using Azure services. It is also beneficial for business stakeholders, such as project managers or sales representatives, who need to understand AI capabilities to make informed decisions.Course Content: The AI-900 course covers practice test for the following key topics:Introduction to AI: Understanding the basic concepts, principles, and types of AI.Machine Learning: Exploring machine learning concepts, including supervised, unsupervised, and reinforcement learning.Computer Vision: Understanding computer vision and its applications, such as image recognition and object detection.Natural Language Processing (NLP): Exploring NLP concepts, including text analysis, sentiment analysis, and language translation.Conversational AI: Learning about conversational AI technologies, such as chatbots and virtual agents.Responsible AI: Understanding the ethical and responsible use of AI, including fairness, transparency, and privacy considerations.Azure AI Services: Exploring the AI services available in Azure, such as Azure Cognitive Services and Azure Machine Learning.
