Implement End-to-End Security Controls for Cloud and AI Workloads (SC-500) Course

Course Code: SC-500

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Duration: 4 days

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Course Overview

Learn to implement comprehensive security controls across Microsoft Azure, Microsoft 365 and AI environments. This course combines identity, infrastructure, data, application, posture and security operations controls for modern cloud and hybrid workloads.

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Target Audience

This course is intended for security engineers with practical Azure administration experience who work across identity, networking, compute, storage, databases, applications and AI services.

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Course Objectives

• Secure access with Microsoft Entra ID and Azure Key Vault.
• Enforce governance and regulatory compliance.
• Protect storage, databases, networks and compute resources.
• Secure AI workloads and agent identities.
• Manage cloud security posture and threat detection.
• Use Microsoft Sentinel and Security Copilot in security operations.

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Course Content

• Microsoft Entra identity and privileged access security
• Azure Key Vault protection
• Governance, policy and compliance controls
• Azure Storage and Azure SQL security
• Network security controls
• Security for AI services and agents
• Server, VM and application platform security
• Microsoft Defender for Cloud posture management
• Microsoft Sentinel data collection and automation
• Microsoft Security Copilot deployment and operation

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Course Prerequisites

Learners should understand cloud security, identity and access management, networking and Azure administration. Practical experience managing Azure compute, network and storage resources and familiarity with Microsoft Entra ID are recommended.

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Test Certification

Recommended preparation for Exam SC-500: Implementing End-to-End Security Controls for Cloud and AI Workloads, leading to Microsoft Certified: Cloud and AI Security Engineer Associate.

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Note - This course is delivered via our training partner Global Knowledge.