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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-certified-azure-ai-engineer-associate-ai-102/
课程评论：没有评论
课程名称：AI-102：设计和实施Microsoft Azure AI解决方案 课程概述：该课程提供4个实践测试和230个真实考试问题，旨在评估学员在以下技术任务中的能力：规划和管理Azure AI解决方案；实施图像和视频处理解决方案；实施自然语言处理解决方案；实施知识挖掘解决方案；以及实施对话式AI解决方案。 技能测评：本考试测评所需的技能包括： - 规划和管理Azure AI解决方案 - 实施图像和视频处理解决方案 - 实施自然语言处理解决方案 - 实施知识挖掘解决方案 - 实施对话式AI解决方案 课程内容：Microsoft Azure AI工程师负责构建、管理和部署利用Azure认知服务和Azure服务的AI解决方案。他们的职责涵盖AI解决方案开发的各个阶段，从需求定义和设计到开发、部署、集成、维护、性能调优和监控。 这些专业人士与解决方案架构师合作，将他们的愿景转化为实际方案，并与数据科学家、数据工程师、物联网专家、基础设施管理员等软件开发人员合作，共同构建完整的端到端AI解决方案。Azure AI工程师需要熟悉使用Python或C#等编程语言，并能够使用基于REST的API和软件开发工具包(SDK)在Azure上构建安全的图像处理、视频处理、自然语言处理(NLP)、知识挖掘和对话式AI解决方案。此外，他们应了解Azure AI产品组合的组成部分及可用的数据存储选项，能够应用负责任的AI原则。 此课程适合希望深入了解Azure AI解决方案并获得相关认证的人士。
4 Practice Tests. 230 real exam questions.This exams measures your ability to accomplish the following technical tasks: plan and manage an Azure AI solution; implement image and video processing solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.Skills measuredThis list contains the skills measured on the exam required for this certification. For more detailed information, visit the exam details page and review the study guide.Plan and manage an Azure AI solutionImplement image and video processing solutionsImplement natural language processing solutionsImplement knowledge mining solutionsImplement conversational AI solutionsMicrosoft Azure AI engineers build, manage, and deploy AI solutions that make the most of Azure Cognitive Services and Azure services. Their responsibilities include participating in all phases of AI solutions development-from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.These professionals work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles.
