AZ 201 Microsoft Azure Developer Advanced Solutions

 

Module 1: Develop for asynchronous processing

 

 

Lessons

 

 

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• Implement parallelism multithreading and processing


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• Implement Azure Functions and Azure Logic Apps


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• Implement interfaces for storage or data access


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• Implement appropriate asynchronous computing models



 
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After completing this module, students will be able to:

 

 

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• Learn to develop for asynchronous processing and how to implement the appropriate asynchronous compute model.



 
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Module 2: Develop for autoscaling

 

 

Lessons

 

 

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• Implement autoscaling rules and patterns


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• Implement code that addresses singleton application instances


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• Implement code that addresses a transient state



 
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After completing this module, students will be able to:

 

 

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• Implement autoscaling in your solution and implement code that addresses transient state.



 
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Module 3: Develop long-running tasks

 

 

Lessons

 

 

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• Implement large scale parallel and high-performance apps by using batches


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• Implement resilient apps by using queues


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• Implement code to address aplication events by using webhooks


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• Address continuous processing tasks by using Azure WebJobs



 
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After completing this module, students will be able to:

 

 

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• Discover how to implement large-scale, parallel and high-performance apps by using batches.



 
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Module 4: Implement distributed transactions

 

 

Lessons

 

 

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• Identify tools to implement distributed transactions


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• Manage the transaction scope


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• Manage transactions across multiple databases and servers



 
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After completing this module, students will be able to:

 

 

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• Learn to implement, and manage, distributed transactions.



 
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Module 5: Enable the search of textual content

 

 

Lessons

 

 

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• Create an Azure Search index


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• Import searchable data


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• Query the Azure Search index by using code



 
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Module 6: Instrument an app or service and implement logging

 

 

Lessons

 

 

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• Configure instrumentation in an app or service


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• Configure the logging service


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Day 2

 

 

Module 1: Manage APIs by using API Management

 

 

Lessons

 

 

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• Analyze recommendations in Security Center


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• Create an API Management instance


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• Configure authentication for APIs


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• Create an API gateway


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• Define policies for APIs


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• After completing this course, students will be able to:


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• Manage APIs by using API Management (APIM)


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• Create an APIM instance, configure authentication for APIs, create an API gateway, and define policies for APIs


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• Configure a message-based integration architecture by using the services included in Azure.



 
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Module 2: Configure a message-based integration architecture

 

 

Lessons

 

 

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• Configure an app or service to send emails


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• Configure an event publish and subscribe model


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• Configure the Azure Relay service


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• Create and configure a notification hub


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• Create and configure an evnt hub


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• Create and configure a service bus


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• Configure an app or service with Microsoft Graph


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• After completing this course, students will be able to:


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• Configure an app or service to send email


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• Create an event model, topics, and subscriptions



 
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Module 3: Develop an application message model

 

 

Lessons

 

 

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• Create an event model


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• Create topics and subscriptions


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• After completing this course, students will be able to:


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• Develop an application message model including message schema and message exchange.


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Day 3 and 4

 

 

Module 1: Develop Azure Cognitive Services solutions

 

 

Lessons

 

 

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• Cognitive Services overview


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• Develop solutions using Computer Vision


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• Develop solutins using Bing Web Search


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• Develop solutions using Custom Speech Service


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• Develop solutions using QnA Maker



 
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After completing this module, students will be able to:

 

 

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• Learn to develop solutions using Computer Vision.


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• Use speech services and natural language processing in your app.


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• Create and manage dictionaries for FAQ generation by using QnA maker.



 
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Module 2: Create and intergrate bots

 

 

Lessons

 

 

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• Azure Bot Service overview


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• Create a bot using the Bot Builder SDK for .NET


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• Using Language Understanding in your bot


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• Register a bot with Bot Service


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• Managing a bot using the Azure Portal



 
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After completing this module, students will be able to:

 

 

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• Leverage Bing Search in your application.


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• Create and register simple bot using the Bot Framework, and manage a bot using the Azure Portal.



 
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Module 3: Create and implement IoT solutions

 

 

Lessons

 

 

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• Working with the Azure IoT Hub


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• Working with Azure Time Series Insights


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• Working with Azure Stream Analytics



 
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After completing this module, students will be able to:

 

 

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• Configure Azure Time Series Insights for your IoT solution.


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• Configure the Stream Analytics Service for inputs and outputs for your IoT device


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• Register your device with the IoT Hub Device Provisioning Service


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