|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-900-ms-azure-ai-fundamentals-test-qa/
课程评论：没有评论
课程名称：AI-900 MS Azure AI 基础知识考试验证问答更新版 课程概述： 欢迎参加AI-900 Microsoft Azure AI 基础知识考试验证问答更新版实践测试。本课程提供经过验证的实践测试题和答案，包括热点题和拖放题，旨在帮助您掌握AI的基础知识，从而为您的职业生涯奠定基础，并为深入了解Azure提供的其他技术机会做好准备。人工智能打开了许多以前看似科幻的可能性，您可以利用AI构建解决方案、提升应用程序并在医疗、金融管理和环境保护等多个领域推动技术进步。 如果您希望证明自己具备构建美好世界的AI技能，获得Microsoft认证的Azure AI基础知识认证将非常适合您。获得此认证可以为您的职业发展提供必要的基础，展示您对常见的AI和机器学习工作负载及Azure服务的理解。 本课程旨在验证您对机器学习和AI概念的基础知识，以及相关的Azure服务。虽然不要求具备数据科学和软件工程的经验，但了解基本的云概念和客户端-服务器应用程序将是有益的。 考试主题包括： - 描述人工智能的工作负载和相关考虑因素 - 描述Azure上的机器学习基本原理 - 描述Azure上的计算机视觉工作负载的特性 - 描述Azure上的自然语言处理（NLP）工作负载的特性 - 描述Azure上的生成性AI工作负载的特性 加入我们，迈出您AI学习与职业发展的第一步！
Welcome to Exam AI-900 Microsoft Azure AI Fundamentals Practice Test Verified QA Updated Get Practice Tests Verified Questions Answers including Hotspot and Drag drop Mastering the basics in AI can help you jump-start your career and get ready to dive deeper into the other technical opportunities Azure offers. AI opens doors into possibilities that might have seemed like science fiction only yesterday. Using AI, you can build solutions, improve your apps, and advance technology in many fields, including healthcare, financial management, and environmental protection, to name just a few.The Microsoft Certified: Azure AI Fundamentals certification could be a great fit for you if you'd like to:Prove that you have the AI skills it takes to build a better world. Earning your Azure AI Fundamentals certification can supply the foundation you need to build your career and demonstrate your knowledge of common AI and machine learning workloads-and what Azure services can solve for them.Validate your foundational knowledge of machine learning and AI concepts, along with related Azure services.Data science and software engineering experience are not required. However, you would benefit from having awareness of:Basic cloud conceptsClient-server applicationsAI-900 Exam Topics:-Describe Artificial Intelligence workloads and considerations Describe fundamental principles of machine learning on Azure Describe features of computer vision workloads on Azure Describe features of Natural Language Processing (NLP) workloads on Azure Describe features of generative AI workloads on Azure
