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Develop for the Cloud

  • Course Code M-AZ-300T06
  • Duration 1 day

Public Classroom Price

eur565.00

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Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Elearning (Self-paced)

    Self paced electronic learning

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

Request this course in a different delivery format.

Course Overview

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Learn how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.

Course Schedule

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Target Audience

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Successful Cloud Solutions Architects begin this role with practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.

Course Objectives

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After completing this course, students will be able to:

  • How to configure a message-based integration architecture
  • Understand how to Develop for Asynchronous Processing
  • Begin creating apps for Autoscaling
  • Understand Azure Cognitive Services Solutions

Course Content

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Module 1: Developing Long-Running Tasks and Distributed Transactions

Topics for this module include: • Implementing large-scale, parallel, and high-performance apps using batches • HPC using Microsoft Azure Virtual Machines • Implementing resilient apps by using queues As well as, implementing code to address application events by using webhooks. Implementing a webhook gives an external resource a URL for an application. The external resource then issues an HTTP request to that URL whenever a change is made that requires the application to take an action.

Module 2: Configuring a Message-Based Integration ArchitectureLessons

  • Configure an app or service to send emails
  • Configure an event publish and subscribe model
  • Configure the Azure Relay service
  • Configure apps and services with Microsoft Graph

After completing this module, students will be able to:

  • How to configure a message-based integration architecture
Module 3: Developing for Asynchronous ProcessingLessons
  • Implement parallelism, multithreading, and processing
  • Implement Azure Functions and Azure Logic Apps
  • Implement interfaces for storage or data access
  • Implement appropriate asynchronous computing models
  • Implement autoscaling rules and patterns

After completing this module, students will be able to:

  • Understand how to Develop for Asynchronous Processing
Module 4: Developing for AutoscalingLessons
  • Implementing autoscaling rules and patterns
  • Implementing code that addresses singleton application instances
  • Implementing code that addresses a transient state

After completing this module, students will be able to:

  • Begin creating apps for Autoscaling
Module 5: Developing Azure Cognitive Services SolutionsLessons
  • Developing Solutions using Computer Vision
  • Developing solutions using Bing Web Search
  • Developing solutions using Custom Speech Service
  • Developing solutions using QnA Maker

After completing this module, students will be able to:

  • Understand Azure Cognitive Services Solutions
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