Azure培训课程

Azure Machine Learning (AML) is a pay-as-you-go, cloud-based environment for training, deploying, automating, managing, and tracking ML models.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment.

By the end of this training, participants will be able to:

- Write highly-accurate machine learning models using Python, R, or zero-code tools.
- Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
- Use Azures interactive workspace to collaboratively develop ML models.
- Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

此培训允许代表们提高其Microsoft Azure解决方案设计技能。在此培训之后，代表将了解Azure服务的特性和功能，以便能够识别权衡，并为设计公共云和混合云解决方案做出决策。在培训期间，将定义适当的基础架构和平台解决方案，以满足解决方案生命周期所需的功能，操作和部署要求。

Azure是一套全面的云服务，使开发人员，IT专业人员和组织能够构建，部署和运营应用程序和基础架构服务。 Azure命令行界面（CLI）是一个开源的跨平台命令行工具，可以更轻松地创建和管理Azure资源。

在这个由讲师指导的实时培训中，参与者将学习如何开始使用Azure CLI。

在培训结束时，参与者将能够：

- 了解使用Azure CLI的基础知识
- 了解使用Azure CLI管理资源的技术
- 将他们的学习应用于涉及虚拟机，资源管理，存储帐户，Web应用程序和SQL数据库的实际实际问题
- 使用Azure服务主体自动化其API

听众

- 开发商
- IT专业人士
- 技术员
- DevOps E.

课程形式

- 部分讲座，部分讨论，练习和繁重的实践练习

Azure Machine Learning is a cloud based platform for building, training, and deploying machine learning models. Azure Machine Learning provides users the ability to create machine learning solutions without a single line of code.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.

By the end of this training, participants will be able to:

- Build machine learning models with zero programming experience.
- Create predictive algorithms with Azure Machine Learning.
- Deploy production ready machine learning algorithms.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

Microsoft Azure is a cloud platform for building, scaling, and deploying applications and services. Users can Implement security in Azure with an architectural approach to secure cloud workloads.

This instructor-led, live training (online or onsite) is aimed at security administrators who wish to secure Azure workloads.

By the end of this training, participants will be able to:

- Administrate host security, network security, and more.
- Set up storage and database security in Azure.
- Implement security monitoring using Azure resources.
- Prevent malicious cyber attacks on data and infrastructures.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

Microsoft Azure Service Fabric（ASF）是一种平台即服务（PaaS），用于部署基于可扩展微服务的云应用程序。

在这个由讲师指导的实时培训中，参与者将学习如何在Microsoft Azure Service Fabric（ASF）上构建微服务。

在培训结束时，参与者将能够：

- 使用ASF作为构建和管理微服务的平台
- 了解关键的微服务编程概念和模型。
- 在Azure创建一个集群
- 在内部或云中部署微服务
- 调试并对实时微服务应用程序进行故障排除

听众

- 开发商

课程格式

- 在实况环境中进行部分讲座，部分讨论，练习和繁重的实践练习。

注意

- 要申请本课程的定制培训，请联系我们安排。
- 要了解有关Service Fabrice的更多信息，请访问：https：//github.com/Microsoft/service-fabric

Azure Bot服务结合了Microsoft Bot Framework和Azure功能的强大功能，可实现智能机器人的快速开发。

在这个由讲师指导的实时培训中，参与者将学习如何使用Microsoft Azure轻松创建智能机器人

在培训结束时，参与者将能够：

- 了解智能机器人的基础知识
- 了解如何使用云应用程序创建智能机器人
- 了解如何使用Microsoft Bot Framework，Bot Builder SDK和Azure Bot服务
- 了解如何使用bot模式设计机器人
- 使用Microsoft Azure开发他们的第一个智能机器人

听众

- 开发商
- 爱好者
- 工程师
- IT专业人士

课程形式

- 部分讲座，部分讨论，练习和繁重的实践练习

Azure是一套全面的云服务，使开发人员，IT专业人员和组织能够构建，部署和运营应用程序和基础架构服务。

在这个由讲师指导的实时培训中，参与者将在逐步创建示例云应用程序时学习Microsoft Azure的基本概念，组件和服务。

在培训结束时，参与者将能够：

- 了解Microsoft Azure的基础知识
- 了解不同的Azure工具和服务
- 了解如何使用Azure构建云应用程序

听众

- 开发商
- IT专业人士
- 工程师
- Business经理

课程形式

- 部分讲座，部分讨论，练习和繁重的实践练习

Internet of Things (IoT)是一种网络基础设施，可以无线连接物理对象和软件应用程序，允许它们相互通信并通过网络通信，云计算和数据捕获交换数据。 Azure是一套全面的云服务，提供物联网套件，包括预先配置的解决方案，可帮助开发人员加速物联网项目的开发。

在这个由讲师指导的实时培训中，参与者将学习如何使用Azure开发物联网应用程序。

在培训结束时，参与者将能够：

- 了解物联网架构的基础知识
- 安装和配置Azure IoT Suite
- 了解在编程物联网系统中使用Azure的好处
- 实施各种Azure IoT服务（IoT Hub，功能，流分析， Power BI ，Cosmos DB，DocumentDB，IoT设备Management ）
- 使用Azure构建，测试，部署和排除物联网系统故障

听众

- 开发商
- 工程师

课程形式

- 部分讲座，部分讨论，练习和繁重的实践练习

注意

- 要申请本课程的定制培训，请联系我们安排。

Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.

By the end of this training, participants will be able to:

- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

Azure Kubernetes Service（AKS）是一种托管的Kubernetes服务，可简化Azure中Kubernetes集群的部署和管理。

在这一由讲师指导的实时培训中，学员将学习如何使用AKS上的Kubernetes搭建和管理生产规模的容器环境。

在培训结束时，学员将能够：

- 在AKS上配置和管理Kubernetes
- 部署、管理、扩展Kubernetes集群
- 在Azure上部署容器化（Docker）应用程序
- 将现有Kubernetes环境从本地迁移到AKS云
- 将Kubernetes与第三方持续集成（CI）软件集成
- 确保Kubernetes的高可用性和灾难恢复

受众

- 开发人员
- 系统管理员
- DevOps工程师

课程形式

- 在现场实验室环境中开展部分讲座、部分讨论、练习和大量实操

注意

- 如需本课程的定制培训，请联系我们以作安排。

MLOps (Machine Learning Operations) is the practice of integrating data science and operations to help manage the ML lifecycle. MLOps provides the ability to automate the reproduction of machine learning model development and training.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.

By the end of this training, participants will be able to:

- Build reproducible workflows and machine learning models.
- Manage the machine learning lifecycle.
- Track and report model version history, assets, and more.
- Deploy production ready machine learning models anywhere.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training, participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a cloud application.

By the end of this training, participants will be able to:

- Understand the basics of Microsoft Azure
- Understand the different Azure tools and services
- Learn how to use Azure for building cloud applications
- Learn how to Secure Azure
- Learn how to Managing and Monitoring VM in Azure
- Learn how to Managing VNets

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.