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Implement end‑to‑end security controls for cloud and AI workloads (SC-500)

New - Learn to secure cloud and AI workloads by implementing identity, compliance, threat protection, and governance controls across Microsoft security solutions.

This course prepares you to design, implement, and manage end-to-end security controls across Microsoft Azure and Microsoft 365 environments — including the emerging landscape of AI workloads and autonomous agents. Through a combination of instructor-led sessions and hands-on labs, you build practical skills in identity security, cloud infrastructure protection, threat detection, and posture management. This course is intended for security engineers who are responsible for planning and implementing security controls across cloud, hybrid, and multi-cloud environments using Microsoft security technologies.

GK# 834165 Vendor# SC-500
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Who Should Attend?

As a candidate for this course, you’re a security engineer who protects organizational systems and data across cloud and hybrid environments by implementing comprehensive security controls that prevent unauthorized access and mitigate risks proactively. This role spans multiple security domains including identity, network, application, data, and compute. This role also ensures that platforms, data, identities, and infrastructure used by AI workloads are securely implemented and monitored. You work closely with architects, administrators, engineers, analysts, and developers responsible for Azure, Microsoft 365, identity and access, information protection, security operations, devops, application development, database platforms, and networks. You should have practical experience in administration of Microsoft Azure and hybrid environments, including compute, network, and storage. You should have strong familiarity with Microsoft Entra ID and familiarity with Microsoft 365 administration. Your responsibilities for this role include:

  • Securing access to resources by using Microsoft Entra ID and Azure Key Vault
  • Enforcing security and regulatory compliance
  • Securing storage, databases, and networking
  • Securing compute
  • Securing AI solutions
  • Managing and monitoring security posture

What You'll Learn

After completing this course, learners will be able to:

  • Design and implement identity and access security controls across Microsoft Azure and Microsoft 365 environments.
  • Secure cloud, hybrid, and AI workloads using Microsoft security technologies and best practices.
  • Implement governance, compliance, and risk management controls for cloud and AI solutions.
  • Protect AI platforms, agents, and workloads using Microsoft Defender, Entra, and related security services.
  • Monitor, detect, and respond to threats across cloud and AI environments.
  • Assess and improve security posture through security configuration, posture management, and continuous protection practices.
  • Secure AI identity infrastructure and implement Conditional Access and identity protection controls.
  • Plan and manage end-to-end security strategies for modern cloud, multi-cloud, and AI-powered environments.

Course Outline

Module 1: Secure access to resources by using Microsoft Entra

Module 2: Secure Azure Key Vault with defense in depth for the cloud and AI workloads

Module 3: Enforce security governance and regulatory compliance

Module 4: Implement security for Azure Storage for the cloud and AI security engineer

Module 5: Implement security for Azure SQL databases

Module 6: Implement network security controls in Azure

Module 7: Implement security for AI

Module 8: Implement security for servers and virtual machines

Module 9: Secure Azure application platform services for the cloud and AI security engineer

Module 10: Manage security posture by using Microsoft Defender for Cloud

Module 11: Implement activity and event collection in Microsoft Sentinel

Module 12: Deploy and operate Microsoft Security Copilot

Prerequisites

Learners should have:

  • Foundational knowledge of Microsoft Azure services, cloud concepts, and security principles.
  • Experience managing identities, access, and security controls in Azure and Microsoft 365 environments.
  • Basic understanding of Microsoft Entra ID, Conditional Access, and Identity Protection concepts.
  • Familiarity with cloud workload security, governance, compliance, and risk management practices.
  • Experience or exposure to securing cloud workloads, especially within Azure environments.
  • An understanding of AI workloads and modern security operations is beneficial but not mandatory. This is based on the stated SC-500 focus on AI security, Defender, Entra, and cloud security controls.

Follow-On Courses

  • Microsoft Information Protection and Compliance Administrator (SC-400)
  • Planning and Implementing Microsoft Sentinel (SIEM & SOAR)
  • AI Security and Governance courses (SC-500x series)