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AZ-300T06 Developing for the Cloud

AZ-300T06 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.

 

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 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 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 and 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 Autoscaling

Lessons Implementing autoscaling rules and patterns, Implementing code that addresses singleton application instances and 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 Solutions

Lessons Developing Solutions using Computer Vision, Developing solutions using Bing Web Search, Developing solutions using Custom Speech Service and Developing solutions using QnA Maker

After completing this module, students will be able to Understand Azure Cognitive Services Solutions.

 

Course schedule

The training begins at 9.00 and ends around 16.-16.30. Breakfast is served since 8.30.