Microsoft Azure Developer – Developing Advanced Solutions

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4days
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2220,00 
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Time: 10:00 - 17:30
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Spoken language: English

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Overview

This course provides students with the key knowledge to help prepare for Exam AZ-201.

The coursework covers how to ensure you solution meets performance expectations in Azure. It covers asynchronous processing, autoscaling, long-running tasks, and distributed transactions. Additionally, you’ll learn how to leverage Azure Search for textual content, and how to implement instrumentation and logging in your development solution.

The coursework covers how to integrate and manage APIs by using the API Management service, configure a message-based integration architecture, and develop an application message model.

The coursework covers how to integrate Azure Cognitive Services, like Computer Vision, QnA Maker, and natural language processing in your solution. You’ll also learn how to create and manage bots using the Bot Framework and Azure portal. The course also covers leveraging Azure Time Series Insights, Stream Analytics and the IoT Hub for your IoT solution.

Audience Profile
These courses are for experienced programmers who want to develop and host solutions in Azure. Learners should have some experience with Azure and must be able to program in at least one Azure-supported language. These course focus on C#, Node.js, Azure CLI, Azure PowerShell, and JavaScript.

Objectives

  • Learn to develop for asynchronous processing and how to implement the appropriate asynchronous compute model.
  • Implement autoscaling in your solution and implement code that addresses transient state.
  • Discover how to implement large-scale, parallel and high-performance apps by using batches.
  • Learn to implement, and manage, distributed transactions.
  • Configure instrumentation in an app or service by using Application Insights and other tools.
  • Manage APIs by using API Management (APIM)
  • Create an APIM instance, configure authentication for APIs, create an API gateway, and define policies for APIs
  • Configure a message-based integration architecture by using the services included in Azure.
  • Configure an app or service to send email
  • Develop an application message model including message schema and message exchange.
  • Create an event model, topics, and subscriptions
  • Learn to develop solutions using Computer Vision.
  • Use speech services and natural language processing in your app.
  • Create and manage dictionaries for FAQ generation by using QnA maker.
  • Leverage Bing Search in your application.
  • Create and register simple bot using the Bot Framework, and manage a bot using the Azure Portal.
  • Configure Azure Time Series Insights for your IoT solution.
  • Configure the Stream Analytics Service for inputs and outputs for your IoT device.
  • Register your device with the IoT Hub Device Provisioning Service.

Outline

Module 1: Develop for asynchronous processing

Lessons

  • Implement parallelism multithreading and processing
  • Implement Azure Functions and Azure Logic Apps
  • Implement interfaces for storage or data access
  • Implement appropriate asynchronous computing models

After completing this module, students will be able to:

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

Module 2: Develop for autoscaling

Lessons

  • Implement autoscaling rules and patterns
  • Implement code that addresses singleton application instances
  • Implement code that addresses a transient state

After completing this module, students will be able to:

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

Module 3: Develop long-running tasks

Lessons

  • Implement large scale parallel and high-performance apps by using batches
  • Implement resilient apps by using queues
  • Implement code to address aplication events by using webhooks
  • Address continuous processing tasks by using Azure WebJobs

After completing this module, students will be able to:

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

Module 4: Implement distributed transactions

Lessons

  • Identify tools to implement distributed transactions
  • Manage the transaction scope
  • Manage transactions across multiple databases and servers

After completing this module, students will be able to:

  • Learn to implement, and manage, distributed transactions.

Module 5: Enable the search of textual content

Lessons

  • Create an Azure Search index
  • Import searchable data
  • Query the Azure Search index by using code

Module 6: Instrument an app or service and implement logging

Lessons

  • Configure instrumentation in an app or service
  • Configure the logging service

Module 7: Manage APIs by using API Management

Lessons

  • Analyze recommendations in Security Center
  • Create an API Management instance
  • Configure authentication for APIs
  • Create an API gateway
  • Define policies for APIs

After completing this course, students will be able to:

  • Manage APIs by using API Management (APIM)
  • Create an APIM instance, configure authentication for APIs, create an API gateway, and define policies for APIs
  • Configure a message-based integration architecture by using the services included in Azure.

Module 8: Configure a message-based integration architecture

Lessons

  • Configure an app or service to send emails
  • Configure an event publish and subscribe model
  • Configure the Azure Relay service
  • Create and configure a notification hub
  • Create and configure an evnt hub
  • Create and configure a service bus
  • Configure an app or service with Microsoft Graph

After completing this course, students will be able to:

  • Configure an app or service to send email
  • Create an event model, topics, and subscriptions

Module 9: Develop an application message model

Lessons

  • Create an event model
  • Create topics and subscriptions

After completing this course, students will be able to:

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

Module 10: Develop Azure Cognitive Services solutions

Lessons

  • Cognitive Services overview
  • Develop solutions using Computer Vision
  • Develop solutins using Bing Web Search
  • Develop solutions using Custom Speech Service
  • Develop solutions using QnA Maker

After completing this module, students will be able to:

  • Learn to develop solutions using Computer Vision.
  • Use speech services and natural language processing in your app.
  • Create and manage dictionaries for FAQ generation by using QnA maker.

Module 11: Create and intergrate bots

Lessons

  • Azure Bot Service overview
  • Create a bot using the Bot Builder SDK for .NET
  • Using Language Understanding in your bot
  • Register a bot with Bot Service
  • Managing a bot using the Azure Portal

After completing this module, students will be able to:

  • Leverage Bing Search in your application.
  • Create and register simple bot using the Bot Framework, and manage a bot using the Azure Portal.

Module 12: Create and implement IoT solutions

Lessons

  • Working with the Azure IoT Hub
  • Working with Azure Time Series Insights
  • Working with Azure Stream Analytics

After completing this module, students will be able to:

  • Configure Azure Time Series Insights for your IoT solution.
  • Configure the Stream Analytics Service for inputs and outputs for your IoT device
  • Register your device with the IoT Hub Device Provisioning Service

Prerequisites

Delegates should be proficient in developing apps and services by using Azure tools and technologies, including storage, security, compute, and communications. Candidates must have at least one year of experience developing scalable solutions through all phases of software development and be skilled in at least one cloud-supported programming language. If you do not have the aforementioned skills, it is recommended that you attend MAZ200 ‘Microsoft Azure Developer -Developing Core Cloud Solutions’

 

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