Microsoft

Building AI Cloud Apps with Microsoft Azure 专项课程

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Microsoft

Building AI Cloud Apps with Microsoft Azure 专项课程

Master Azure cloud development and building AI solutions. Learn how to create scalable, intelligent cloud applications using Microsoft Azure.

 Microsoft

位教师: Microsoft

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2 月 完成
在 10 小时 一周
灵活的计划
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您将学到什么

  • Develop and deploy create event-driven, serverless architectures with Microsoft Azure

  • Manage and select appropriate Microsoft Azure storage solutions

  • Deploy and manage containerized web applications using Azure App Service

  • Integrate Microsoft Azure machine learning, computer vision, and natural language processing into software solutions 

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授课语言:英语(English)

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专业化 - 10门课程系列

Build Serverless Applications

Build Serverless Applications

第 1 门课程 17小时

您将学到什么

  • Develop an Azure Function

  • Deploy an Azure Function

  • Evaluate Azure services for integration and process automation scenarios

  • Test an Azure Function

您将获得的技能

类别:Serverless Computing
类别:Microsoft Azure
类别:Application Programming Interface (API)
类别:GitHub
类别:Microsoft Development Tools
类别:Cloud Development
类别:Cloud API
类别:Business Process Automation
类别:Microservices
类别:Event-Driven Programming

您将学到什么

  • How Azure Functions enable the creation of event-driven, compute-on-demand systems that can be triggered by various external events.

  • Implement the publish-subscribe pattern in the cloud using Azure Queue storage

  • Use Azure Service Bus topics and queues in a distributed architecture to ensure reliable communications

  • Connect sending and receiving applications with Event Hubs so you can handle extremely high loads without losing data

您将获得的技能

类别:Event-Driven Programming
类别:Cloud Storage
类别:Cloud Development
类别:Microservices
类别:Real Time Data
类别:Cloud Services
类别:Microsoft Azure
类别:Cloud Applications
类别:Distributed Computing
类别:C# (Programming Language)

您将学到什么

  • The basics of storage management in Azure

  • How to create a Storage Account

  • How to choose the right model for your data

您将获得的技能

类别:Data Storage
类别:Cloud Storage
类别:Data Storage Technologies
类别:Microsoft Azure
类别:Cloud Security
类别:Data Security
类别:Role-Based Access Control (RBAC)
类别:Data Management
类别:Cloud Applications
类别:Data Architecture
类别:Analytics
类别:Application Development

您将学到什么

  • Learn how to create, configure, and manage virtual machines on Linux and Windows that host web apps

  • Create and manage a virtual machine. Work with Windows virtual machines in Azure

  • Build a run a web application with the MEAN stack

  • Create and manage a Linux virtual machine

您将获得的技能

类别:Virtual Machines
类别:Microsoft Azure
类别:Node.JS
类别:MongoDB
类别:Application Deployment
类别:Infrastructure As A Service (IaaS)
类别:Linux
类别:Javascript
类别:Web Applications
类别:Linux Administration
类别:Cloud Development
类别:Virtualization
类别:Cloud Management

您将学到什么

  • Use deployment slots to streamline deployment and roll back a web app in Azure App Service

  • Implement and deploy a web app to Azure App Service

  • Use the publishing features of Visual Studio 2019 to deploy and manage an ASP.NET Core web application hosted on Azure

  • Deploy and run a containerized web app with Azure App Service

您将获得的技能

类别:Microsoft Azure
类别:Application Deployment
类别:Docker (Software)
类别:Scalability
类别:Containerization
类别:Continuous Deployment
类别:ASP.NET
类别:Microsoft Visual Studio
类别:Development Environment
类别:Integrated Development Environments
类别:Cloud Applications
类别:Web Applications
类别:Cloud Deployment
类别:Platform As A Service (PaaS)

您将学到什么

  • How to identify guiding principles for responsible AI

  • How to identify features of common AI workloads

您将获得的技能

类别:Microsoft Azure
类别:Responsible AI
类别:Artificial Intelligence
类别:Data Ethics
类别:Anomaly Detection
类别:Information Privacy
类别:Machine Learning
类别:Azure DevOps
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Natural Language Processing
类别:Image Analysis
类别:Computer Vision
类别:AI Enablement
Microsoft Azure Machine Learning

Microsoft Azure Machine Learning

第 7 门课程 11小时

您将学到什么

  • How to describe capabilities of no-code machine learning with Azure Machine Learning Studio

  • How to identify core tasks in creating a machine learning solution

  • How to describe core machine learning concepts

  • How to identify common machine learning types

您将获得的技能

类别:Regression Analysis
类别:Classification Algorithms
类别:Supervised Learning
类别:Applied Machine Learning
类别:Unsupervised Learning
类别:Machine Learning
类别:Predictive Modeling
类别:Microsoft Azure
类别:Artificial Intelligence
类别:Model Deployment
类别:MLOps (Machine Learning Operations)
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:No-Code Development
Computer Vision in Microsoft Azure

Computer Vision in Microsoft Azure

第 8 门课程 8小时

您将学到什么

  • How to identify Azure tools and services for computer vision tasks

  • How to identify common types of computer vision solutions

您将获得的技能

类别:Computer Vision
类别:Data Capture
类别:Image Analysis
类别:Document Management
类别:Microsoft Azure
类别:Application Programming Interface (API)
类别:Text Mining
类别:Classification Algorithms
类别:Model Deployment
类别:Artificial Intelligence

您将学到什么

  • How to describe features of Natural Language Processing (NLP) workloads on Azure

  • How to identify features of common NLP Workload Scenarios

  • How to identify Azure tools and services for NLP workloads

您将获得的技能

类别:Natural Language Processing
类别:Microsoft Azure
类别:Artificial Intelligence
类别:Virtual Machines
类别:Unstructured Data
类别:Application Development
类别:Analytics
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Text Mining
Introduction to GitHub Copilot

Introduction to GitHub Copilot

第 10 门课程 2小时

您将学到什么

您将获得的技能

类别:Prompt Engineering
类别:Software Installation
类别:Integrated Development Environments
类别:GitHub
类别:Computer Programming
类别:Programming Principles
类别:Microsoft Copilot
类别:AI Workflows

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