Implement end-to-end security controls for cloud and AI workloads

Learning objectives

• Secure access with Microsoft Entra ID and Azure Key Vault
• Protect networking, compute, storage, databases and applications
• Manage security posture and compliance with Microsoft Defender for Cloud
• Apply security controls to AI services, data and agents
• Monitor and improve protection across cloud and hybrid environments

Audience

Cloud security engineers, platform engineers and professionals responsible for implementing security controls across Azure, Microsoft 365, hybrid environments and AI workloads.

Prerequisites

Practical experience administering Azure and hybrid environments, including identity, networking, compute and storage. Strong familiarity with Microsoft Entra ID is recommended.

Programme

• Securing access, identities and secrets
• Compliance, policy and posture management
• Network, storage, data and database security
• Protecting virtual machines, containers and applications
• Securing AI solutions and workloads
• Microsoft Defender for Cloud, Defender XDR and monitoring

Learning approach

Structured instruction, demonstrations, guided labs, case studies and skills assessment. Technical environments are used only within an authorised scope.