Developing for the Cloud

Overview:

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

Duration: 

01 day

Objectives:

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
Intended Audience:

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

Course outlines:

1.   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.

2.   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

3.   Module 3: Developing 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
  • Implement autoscaling rules and patterns

After completing this module, students will be able to:

  • Understand how to Develop for Asynchronous Processing

4.   Module 4: Developing for Autoscaling

Lessons

  • 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

5.   Module 5: Developing Azure Cognitive Services Solutions

Lessons

  • 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

6.   Module 6: Develop for Azure Storage

Lessons

  • Develop Solutions that use Azure Cosmos DB Storage
  • Develop Solutions that use a Relational Database
  • Modeling a Database by using Entity Framework Core
  • Develop Solutions that use Microsoft Azure Blob Storage
  • Manipulating Blob Container Properties in .NET

After completing this module, students will be able to:

  • Understand Azure Storage services such as blobs and Cosmos DB
  • Học tại Hồ Chí Minh

  • Học tại Hà Nội

  • Học trực tuyến


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