Summary
In this module, you learned about core Azure compute services and when to use them. You reviewed virtual machines and options such as virtual machine scale sets and virtual machine availability sets. You explored containers, Azure Functions, application hosting options, and Azure AI, machine learning, and IoT/Edge service categories.
You learned that agentic AI is an application pattern that can be built by combining Azure AI capabilities with application logic when a solution needs multistep reasoning and tool use.
Learning objectives
You should now be able to:
- Compare compute types, including container instances, virtual machines, and functions.
- Describe virtual machine options, including virtual machines (VMs), virtual machine scale sets, and virtual machine availability sets.
- Describe resources required for virtual machines.
- Describe application hosting options, including Azure Web Apps, containers, and virtual machines.
- Describe AI, machine learning, and IoT/Edge service categories in Azure.
- Recognize agentic AI as an application pattern built from Azure AI capabilities.
Additional resources
The following additional resources are intended to provide more information on topics in this module or on additional topics related to this module.
- Host a web application with Azure App Service is a Microsoft Learn module that explores the process of hosting a web application in Azure.
Explore with Copilot
Tip
Try one of these prompts in Copilot Chat:
- "Build a decision matrix for when to use virtual machines, containers, Azure Functions, and Azure App Service across three realistic workloads."
- "Explain scale sets, availability sets, and Availability Zones with one failure scenario that shows how each option improves resiliency."
- "Create a short architecture walkthrough that combines compute hosting with one AI or IoT Edge service and explains why each component was chosen."