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 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
- 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
- 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
- Developing solutions using QnA Maker
After completing this module, students will be able to:
- Understand Azure Cognitive Services Solutions
AZ 300T06 Developing for the Cloud