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.
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
Controlling who can access what, and under what conditions, is one of the most consequential responsibilities in cloud security. A misconfigured authentication policy, an overprivileged account left unreviewed, or a poorly secured AI agent can each become the foothold an attacker needs to move laterally through your environment.
In this learning path, you build the skills to close those gaps. You start by designing and deploying secure authentication in Microsoft Entra ID, including configuring multifactor authentication. Next, you configure Conditional Access policies, passwordless options, and self-service password reset for hybrid environments. You then move into privileged access, where you implement Just-in-Time access for Microsoft Entra roles and Azure resources using Privileged Identity Management (PIM). Just-in-Time access eliminates standing permissions that create unnecessary risk. Finally, you apply these identity and access principles to a modern challenge: securing AI-powered applications and declarative agents that use API plugins to act on behalf of users.
By the end of this learning path, you have a practical, defense-in-depth approach to access security, spanning credential hardening, privileged access governance, and identity-aware AI application design.
Read More :- https://learn.microsoft.com/training/courses/sc-500T00