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- Cloud
Deploying and Managing Workloads in Azure
1 Course
2 Labs
1 Hours
Skill IQ
This evolution path teaches learners how to choose, deploy, and manage the right Azure compute service for different workloads, helping them reduce overhead and align architecture decisions with real-world cloud strategies.
Content in this path
Evolution
Learn how to choose, deploy, and manage the right Azure compute service for different workloads.
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What You'll Learn
- 1. Evaluate and select the appropriate Azure compute service for a given workload based on performance, scalability, and operational needs.
- 2. Deploy and manage applications across multiple Azure compute platforms including App Service, Azure Functions, Container Instances, Container Apps, and Virtual Machines.
- 3. Implement monitoring, scaling, and automation strategies to reduce administrative overhead and improve workload resilience in production environments.
Prerequisites
- Learners should have foundational knowledge of Microsoft Azure, including basic familiarity with Azure Resource Manager (ARM), networking, identity, and storage concepts. They are expected to have prior hands-on experience deploying basic resources in Azure via the portal or CLI. This path is best suited for IT professionals, system administrators, or cloud engineers looking to expand their ability to evaluate, deploy, and manage various Azure compute services as part of modernization or migration projects.
Related topics
- Cloud Architecture
- Cloud Operations
- Containers
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