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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-102-designing-implementing-ms-azure-ai-solution-test/
课程评论：没有评论
**课程名称：** AI-102 设计与实施Microsoft Azure AI 解决方案考试 **课程概述：** 本课程是Microsoft Azure AI 解决方案设计与实施（AI-102）的备考练习题。作为一名Microsoft Azure AI 工程师，您将学习如何构建、管理和部署利用Azure AI的服务。课程涵盖AI解决方案开发的各个阶段，包括需求定义、设计、开发、部署、集成、维护、性能调优和监控。您需要与解决方案架构师、数据科学家、数据工程师、物联网专家、基础设施管理员和其他软件开发人员紧密合作，以构建安全、端到端的AI解决方案，并将AI能力集成到其他应用程序中。 **课程重点：** * **开发语言和工具：** 熟悉Python和C#，并能使用 REST APIs 和 SDKs。 * **Azure AI服务：** 了解Azure AI组合中的各个组件及其数据存储选项。 * **AI解决方案领域：** * 图像和视频处理 * 自然语言处理 * 知识挖掘和文档智能 * 生成式AI * **负责任的AI：** 能够应用负责任的AI原则。 **考试主题：** * 计划和管理Azure AI解决方案 * 实施决策支持解决方案 * 实施计算机视觉解决方案 * 实施自然语言处理解决方案 * 实施知识挖掘和文档智能解决方案 * 实施生成式AI解决方案
Welcome to Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution Practice Test Verified QA Updated Get Practice Tests Verified Questions Answers including Hotspot and Drag drop As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.Your responsibilities include participating in all phases of AI solutions development, including:Requirements definition and designDevelopmentDeploymentIntegrationMaintenancePerformance tuningMonitoringYou work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:Build complete and secure end-to-end AI solutions.Integrate AI capabilities in other applications and solutions.As an Azure AI engineer, you have experience developing solutions that use languages such as:PythonC#You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:Understand the components that make up the Azure AI portfolio and the available data storage options.Be able to apply responsible AI principles.AI-102 Exam Topics:-Plan and manage an Azure AI solution Implement decision support solutions Implement computer vision solutions Implement natural language processing solutions Implement knowledge mining and document intelligence solutions Implement generative AI solutions
