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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-ai-900-exam-practice-questions/
课程评论：没有评论
课程名称：Microsoft AI-900 考试练习题 课程概述：本课程将涵盖以下考试概念： 1. **人工智能工作负载和考虑因素（15-20%）** - 描述常见AI工作负载的特性 - 数据监控和异常检测工作负载特性 - 内容审核和个性化工作负载特性 - 计算机视觉工作负载特性 - 自然语言处理工作负载特性 - 知识挖掘工作负载特性 - 文档智能工作负载特性 - 生成式AI工作负载特性 2. **AI的负责任的指导原则** - 公平性、可靠性、安全性、隐私与安全、包容性、透明度和问责制的考虑事项 3. **Azure上的机器学习基本原则（20-25%）** - 常见机器学习技术 - 回归、分类与聚类场景 - 深度学习技术特性 - 核心机器学习概念与数据集的特征与标签 - 训练与验证数据集在机器学习中的应用 - Azure机器学习能力与功能 - 自动化机器学习、数据与计算服务 4. **Azure上的计算机视觉工作负载特性（15-20%）** - 常见计算机视觉解决方案类型 - 图像分类、目标检测、光学字符识别及面部检测和分析解决方案特性 - Azure相关工具与服务 5. **Azure上的自然语言处理（NLP）工作负载特性（15-20%）** - 关键短语提取、实体识别、情感分析、语言建模、语音识别与合成、翻译的特性与使用 - Azure相关工具与服务 6. **Azure上的生成式AI工作负载特性（15-20%）** - 生成式AI解决方案与模型特性 - 常见的生成式AI应用场景 - 生成式AI的负责任考虑 - Azure OpenAI 服务的功能（自然语言生成、代码生成与图像生成） 希望本课程对您有用，如果您需要任何帮助，请随时联系我。祝您学习愉快！感谢您，Neil
The course will include the below exam concepts:Describe Artificial Intelligence workloads and considerations (15-20%)Identify features of common AI workloadsIdentify features of data monitoring and anomaly detection workloadsIdentify features of content moderation and personalization workloadsIdentify computer vision workloadsIdentify natural language processing workloadsIdentify knowledge mining workloadsIdentify document intelligence 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 (20-25%)Identify common machine learning techniquesIdentify regression machine learning scenariosIdentify classification machine learning scenariosIdentify clustering machine learning scenariosIdentify features of deep learning techniquesDescribe 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 capabilities of the Azure AI Video Indexer 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 capabilities of the Azure AI Translator serviceDescribe features of generative AI workloads on Azure (15-20%)Identify features of generative AI solutionsIdentify features of generative AI modelsIdentify common scenarios for generative AIIdentify responsible AI considerations for generative AIIdentify capabilities of Azure OpenAI ServiceDescribe natural language generation capabilities of Azure OpenAI ServiceDescribe code generation capabilities of Azure OpenAI ServiceDescribe image generation capabilities of Azure OpenAI ServiceI hope you find the course useful,If you need any assistance please message me,Happy learning!Thanks,Neil
