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This structured plan helps students: Plans | Microsoft Learn

• Build foundational knowledge of AI in the cloud.


• Learn how enterprise-level infrastructure supports responsible, scalable AI deployments.


• Explore governance and monitoring strategies to ensure security and compliance.

And the best part? It’s built using Microsoft’s existing training resources plus some brand-new modules to give you an edge.

Your AI Readiness Journey on Azure

🎯 Milestone 1: Getting Started with AI on Azure

• https://learn.microsoft.com/training/paths/introduction-to-ai-on-azure/
  Begin with the basics—from machine learning concepts to practical uses of Azure AI services.

🛡️ Milestone 2: Infrastructure Essentials

• https://learn.microsoft.com/training/paths/manage-iam-for-ai-workloads-on-azure/


• https://learn.microsoft.com/training/paths/manage-network-access-ai-workloads/
  Learn how enterprises secure access and manage identities—critical for real-world applications.

📊 Milestone 3: Monitoring AI Services

• https://learn.microsoft.com/training/paths/monitor-ai-workloads-on-azure/
  Discover how businesses ensure their models perform safely and consistently at scale.

🏛️ Milestone 4: Advanced Management & Governance

• https://learn.microsoft.com/training/paths/ai-workloads-governance/
  Master how organizations prevent data leaks and enforce responsible AI usage.

🆕 New Training Content Just for You

To make this roadmap even more student-friendly, Microsoft has introduced updated and brand-new modules, including:

• Azure ML Authentication & Authorization


• Secure Azure AI Services


• Restrict Workspace Network Traffic


• Monitor Azure ML


• Prevent Data Exfiltration


• Govern AI Services with Azure Policy

🔗 Ready to Dive In?

Whether you’re exploring a career in AI or just getting started with Azure, these learning paths will level up your skills while helping you understand how real-world teams manage complex AI workloads. Start your journey on Microsoft Learn and become the architect of tomorrow’s intelligent systems. 💡

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