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AZ-300T06 Developing for the Cloud

On this course students will 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

This course is for Cloud Solutions Architects who want to learn how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.

Prerequisites

Before attending this course, students must have:

  • Experience on operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking
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 Outline

Module 1: Developing Long-Running Tasks and Distributed Transactions
  • Implementing large-scale, parallel, and high-performance apps using batches
  • HPC using Microsoft Azure Virtual Machines
  • Implementing resilient apps by using queues
  • Implementing code to address application events by using webhooks
Module 2: Configuring a Message-Based Integration Architecture
  • Configuring an app or service to send emails
  • Configuring an event publish and subscribe model
  • Configuring Azure Relay service
  • Configuring apps and services with Microsoft Graph
Module 3: Developing for Asynchronous Processing
  • Parallelism, multithreading, and processing
  • Azure Functions and Azure Logic Apps
  • Interfaces for storage or data access
  • Implementing appropriate asynchronous computing models
Module 4: Developing for Autoscaling
  • Autoscaling rules and patterns
  • Implementing code that addresses singleton application instances
  • Implementing code that addresses a transient state
Module 5: Developing Azure Cognitive Services Solutions
  • Developing Solutions using Computer Vision
  • Developing solutions using Bing Web Search
  • Developing solutions using Custom Speech Service
  • Developing solutions using QnA Maker
Course length
1 day (8 hours)
 

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