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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ms_ai_900/
课程评论：没有评论
课程名称：Microsoft Azure AI (AI-900) 考试问题（2025年5月） 课程概述： 本课程旨在帮助学员掌握Azure上的人工智能（AI）相关技能，涵盖多种AI工作负载及其考虑因素。课程内容主要分为以下几个部分： 1. **AI工作负载概述（15-20%）**： - 描述常见AI工作负载的特征 - 探讨计算机视觉、自然语言处理、文档处理及生成性AI工作负载的特征 - 强调负责任的AI原则，包括公平性、可靠性、安全性、隐私与安全、包容性、透明度和责任感等考量 2. **Azure上的机器学习基本原理（15-20%）**： - 识别常见的机器学习技术，回归与分类场景 - 理解深度学习技术和Transformer架构的特征 - 掌握训练与验证数据集的使用，并了解Azure机器学习的能力，包括自动化机器学习及数据计算服务 3. **Azure上的计算机视觉工作负载（15-20%）**： - 识别常见计算机视觉解决方案的类型 - 探讨图像分类、物体检测、光学字符识别、面部检测和分析等解决方案的特征 - 学习Azure AI视觉服务和面部检测服务的能力 4. **Azure上的自然语言处理（NLP）工作负载（15-20%）**： - 识别常见NLP工作负载场景 - 了解关键信息提取、实体识别、情感分析、语言建模、语音识别与合成和翻译的功能 - 学习Azure AI语言服务和语音服务的能力 5. **Azure上的生成性AI工作负载（20-25%）**： - 识别生成性AI解决方案和模型的特征 - 探讨生成性AI的常见场景及其负责任的AI考虑 - 了解Azure AI Foundry和Azure OpenAI服务的能力以及模型目录的特征 本课程为参与AI-900考试的学员提供了全面而具体的知识框架，旨在帮助他们掌握Azure AI的核心概念和技术。
Skills at a glanceDescribe Artificial Intelligence workloads and considerations (15-20%)Describe fundamental principles of machine learning on Azure (15-20%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Describe features of generative AI workloads on Azure (20-25%)Describe Artificial Intelligence workloads and considerations (15-20%)Identify features of common AI workloadsIdentify computer vision workloadsIdentify natural language processing workloadsIdentify document processing workloadsIdentify features of generative AI workloadsIdentify guiding principles for responsible AIDescribe considerations for fairness in an AI solutionDescribe considerations for reliability and safety in an AI solutionDescribe considerations for privacy and security in an AI solutionDescribe considerations for inclusiveness in an AI solutionDescribe considerations for transparency in an AI solutionDescribe considerations for accountability in an AI solutionDescribe fundamental principles of machine learning on Azure (15-20%)Identify common machine learning techniquesIdentify regression machine learning scenariosIdentify classification machine learning scenariosIdentify clustering machine learning scenariosIdentify features of deep learning techniquesIdentify features of the Transformer architectureDescribe core machine learning conceptsIdentify features and labels in a dataset for machine learningDescribe how training and validation datasets are used in machine learningDescribe Azure Machine Learning capabilitiesDescribe capabilities of automated machine learningDescribe data and compute services for data science and machine learningDescribe model management and deployment capabilities in Azure Machine LearningDescribe features of computer vision workloads on Azure (15-20%)Identify common types of computer vision solutionIdentify features of image classification solutionsIdentify features of object detection solutionsIdentify features of optical character recognition solutionsIdentify features of facial detection and facial analysis solutionsIdentify Azure tools and services for computer vision tasksDescribe capabilities of the Azure AI Vision serviceDescribe capabilities of the Azure AI Face detection serviceDescribe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Identify features of common NLP Workload ScenariosIdentify features and uses for key phrase extractionIdentify features and uses for entity recognitionIdentify features and uses for sentiment analysisIdentify features and uses for language modelingIdentify features and uses for speech recognition and synthesisIdentify features and uses for translationIdentify Azure tools and services for NLP workloadsDescribe capabilities of the Azure AI Language serviceDescribe capabilities of the Azure AI Speech serviceDescribe features of generative AI workloads on Azure (20-25%)Identify features of generative AI solutionsIdentify features of generative AI modelsIdentify common scenarios for generative AIIdentify responsible AI considerations for generative AIIdentify generative AI services and capabilities in Microsoft AzureDescribe features and capabilities of Azure AI FoundryDescribe features and capabilities of Azure OpenAI serviceDescribe features and capabilities of Azure AI Foundry model catalog
