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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-azure-ai-fundamentals-ai-900-best-exam-prep/
课程评论：没有评论
**课程总结：Microsoft Azure AI Fundamentals (AI-900) 备考指南** 本课程旨在帮助学员全面掌握 Microsoft Azure AI Fundamentals (AI-900) 认证考试所需的核心知识和技能。 **核心内容涵盖：** * **人工智能基础概念：** 深入理解人工智能、机器学习和深度学习的基本原理，以及AI的实际应用和用例。 * **Microsoft Azure AI 服务：** 详细介绍 Azure 上的关键AI服务，包括 Azure Machine Learning、Azure Cognitive Services（如计算机视觉、自然语言处理、语音和语言理解）以及 Azure Bot Service。 * **Azure AI 解决方案实现：** 学习如何利用 Azure Machine Learning 构建、训练和部署机器学习模型，以及如何使用 Azure Cognitive Services 开发和集成计算机视觉、自然语言处理和对话式AI解决方案。课程还将指导如何使用 Azure Bot Service 设计和实现聊天机器人。 * **AI 伦理考量：** 探讨AI开发与部署中的伦理原则，理解负责任的AI使用和部署，并学习如何识别和解决AI系统中的偏见和公平性问题。 * **Azure AI 生态系统：** 了解Azure AI生态系统及其在AI解决方案开发中使用的各种工具。 * **考试准备与复习：** 提供AI-900考试的目标、形式，以及备考技巧、资源和模拟练习题，帮助学员高效备考。 **目标达成：** 完成本课程后，学员将能够： * 阐述人工智能、机器学习和深度学习的基本概念。 * 识别并理解 Azure 的主要 AI 服务。 * 应用 Azure 服务构建AI解决方案。 * 理解并应用AI伦理原则。 * 为 Microsoft AI-900 认证考试做好充分准备。 **先修知识建议：** 虽然没有严格的先修要求，但具备基础的云计算知识和对 Microsoft Azure 平台的熟悉将对学习非常有益。了解 Python、C# 或 Java 等编程语言也会有所帮助。
The Microsoft Azure AI Fundamentals AI-900 Exam Prep is a comprehensive course designed to equip you with the essential knowledge and skills required to pass the Microsoft AI-900 certification exam. This course covers core AI concepts, Microsoft Azure AI services, and the ethical considerations of AI. You will gain an in-depth understanding of machine learning, natural language processing, computer vision, and conversational AI, as well as how to effectively use Azure AI services to build AI-based solutions.Course Objectives: By the end of this course, you will be able to:Understand the fundamental concepts of artificial intelligence, machine learning, and deep learning.Explore Azure's AI services, including Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service.Implement AI solutions using Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service.Understand ethical considerations and principles associated with AI development and deployment.Gain knowledge of the Azure AI ecosystem and various tools used for AI solution development.Demonstrate the ability to implement computer vision, natural language processing, and conversational AI solutions using Azure services.Effectively prepare for the Microsoft AI-900 certification exam.Pre-requisites: Although there are no strict prerequisites for this course, having a basic understanding of cloud computing and familiarity with the Microsoft Azure platform will be beneficial. Prior knowledge of programming languages such as Python, C#, or Java may also be helpful.Course Outline:Introduction to Artificial IntelligenceAI concepts and historyMachine learning and deep learningAI applications and use casesMicrosoft Azure AI ServicesAzure Machine LearningAzure Cognitive ServicesAzure Bot ServiceMachine Learning on AzureIntroduction to Azure Machine LearningBuilding, training, and deploying machine learning modelsModel management and monitoringCognitive Services on AzureComputer vision servicesNatural language processing servicesSpeech and language understanding servicesBuilding Bots with Azure Bot ServiceIntroduction to chatbots and conversational AIDesigning and implementing chatbots with Azure Bot ServiceIntegrating chatbots with other Azure servicesEthical Considerations in AIEthical principles in AI developmentResponsible AI use and deploymentAddressing biases and fairness in AI systemsExam Preparation and ReviewAI-900 exam objectives and formatTips and resources for exam preparationPractice exam questions and reviewUpon successful completion of this course, students will be well-prepared to confidently take the Microsoft AI-900 certification exam and demonstrate their proficiency in AI fundamentals using Microsoft Azure.
