Developing for the Cloud

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

Retail Price: $599.00

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Course Days: 1


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About This Course

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

Audience Profile

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

At Course Completion

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

Module 1:

Developing Long-Running Tasks and Distributed TransactionsTopics 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 Architecture Lessons

  • 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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