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manage-ai-ready-infrastructure
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### YamlMime:LearningPath
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uid: learn.wwl.manage-ai-ready-infrastructure
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metadata:
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title: Manage AI-ready infrastructure
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description: Learn to manage AI infrastructure by planning compute capacity, enforcing governance, configuring monitoring, and optimizing costs to support scalable, compliant, and high-performing AI workloads without budget overruns or operational risks.
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ms.date: 02/11/2026
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author: wwlpublish
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ms.author: bradj
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ms.topic: learning-path
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title: Manage AI-ready infrastructure
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prerequisites: |
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- Familiarity with Azure infrastructure fundamentals including virtual machines, storage accounts, and resource groups
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- Basic understanding of AI and machine learning workloads such as model training and inference
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- Experience navigating the Azure portal or executing Azure CLI commands
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summary: |
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Learn to manage AI infrastructure by planning compute capacity, enforcing governance, configuring monitoring, and optimizing costs to support scalable, compliant, and high-performing AI workloads.
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iconUrl: /training/achievements/generic-trophy.svg
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levels:
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- intermediate
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roles:
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- administrator
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products:
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- azure
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- ai-services
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subjects:
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- artificial-intelligence
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- infrastructure
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modules:
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- learn.wwl.configure-ai-ready-infrastructure-microsoft-foundry
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- learn.wwl.manage-monitoring-ai-ready-infrastructure
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- learn.wwl.manage-secure-ai-ready-infrastructure
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- learn.wwl.implement-resilient-ai-ready-infrastructure
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trophy:
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uid: learn.wwl.manage-ai-ready-infrastructure.trophy

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