Contains content for the Azure EDU partner DevCamp world tour
The current status is:
Worldwide deliveries in progress
Next update scheduled for January 2018
These labs and content will kickstart your Azure knowledge with a combination of lectures and hands on labs. It is intended to be delivered in a classroom environment but feel free to reuse this content.
In this session, we will provide a brief history of Azure, a quick overview of the capabilities available and introduction to the 2-day interactive workshop.
This provides an overview of each hands on lab exercise.
We will provide an overview of the developer tools available for developing on your platform.
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Setting up your developer environment for your specific language In this lab you will create the environment that is needed for your language preference.
- Create O365 Developer Tenant
- Connect an Azure subscription (Trial or other)
- Take prepared image, walk through the tools that are available for your platform (.NET, Node.JS, Java | Windows, MacOSX)
- Run a custom ARM Template to scaffold out resources used during the training
We will provide an overview of some common cloud technologies, patterns and Azure features (Polyglot, scalability, app insights, Redis, patterns, traffic manager, global scale, blob, CDNs) and introduce you to the sample application. It is written 3-ways (.NET, Node.js and Java) so you can pick your platform of choice.
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This lab will introduce you to building modern cloud apps with Azure. You will perform the following tasks:
- Connect to deployed API
- Add blob storage for the images
- Add queueing for image processing
- Add Redis cache for the dashboard
- Stretch: Image resizing with Azure Functions
We will provide an overview of Azure AD, and discuss areas for integration with the Office 365 APIs.
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This lab will introduce you to identity in Azure AD and the Microsoft Graph. You will perform the following tasks:
- Create AAD Application
- Add authentication to app
- Populate first & last name of the new incident form with from the Graph/token
- Add a user profile page with a graph API call to get user data
- Send an email via Graph on new incident creation
- Stretch: Add a calendar event on new incident creation
We will provide an overview of Visual Studio Team Services (VSTS), DevOps concepts, build tasks, release environments, integration with Azure and Git/GitHub and Azure to create a cross-platform build, integration and release pipelines.
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This lab will introduce you to DevOps with Visual Studio Team Services. You will perform the following tasks:
- Create Visual Studio Team Services (VSTS) Online account
- Create Git repository
- Clone Git repo locally
- Push code into VSTS
- Create CI pipeline for build. Ends with published artifacts
Intro to Azure Resource manager and infrastructure as code.
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This lab will introduce you to ARM templates and deployments to Azure. You will perform the following tasks:
- Create ARM template for web app in VS
- Deploy using VSTS
- Create 1 Production environment
- Configure Continuous deployment
We will introduce you to the monitoring capabilities in Azure and show you how you can use them in your application.
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This lab will introduce you to Azure Application Insights. You will perform the following tasks:
- Add App Insights resource to Azure
- Add App Insights to application server side
- Monitor the API call
- Add client side library
- Dashboard custom event to capture dashboard views
- Create availability test that test the dashboard
- Stretch - Create custom metric around the API call
In this module, we will provide an overview of Cognitive Services APIs and an introduction to the BOT framework.
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In this hands-on lab, you will learn how to:
- Set up the developing environment to support the creation of bot applications.
- Create your own bot from scratch.
- Create your own bot using Azure Bot Service.
- Hosting your bot in Azure.
We will provide a quick lap around the various APIs, features and services available for developers.
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In this lab you will setup an Azure machine learning workspace and train a model to help predict the estimated time to resolution of logged incidents.
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In this module, you will learn about the Azure IoT capabilities and features.
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In this lab, you will combine the web app with an IoT device based on an Arduino-compatible board. You will perform the following tasks:
- Set up the developing environment to support the programming of Arduino chips.
- Create your own IoT software from scratch.
In this lab you will setup an Azure IoT Hub, Create Devices, develop a .NET Core simulated device application, and deploy it as an Azure Container Instance.
View instructions for .NET
This module contains a short introduction to Containers, Cognitive Services, the Bot Framework and Skype for Business SDK.
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This lab represents an optional stretch goal exercise where you add an additional feature to the City Power & Light sample application on your own.
In this hands-on lab, you will be using the knowledge gained in HOL 3 and learn about some additional Microsoft Graph features.