ABOUT THIS COURSE
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.
Learning Outcomes
By the end of this course, learners will be able to:
- Secure access to cloud and AI resources using Microsoft identity and access management solutions.
- Implement security controls across Azure infrastructure, applications, data, networks, and AI workloads.
- Apply governance, compliance, and data protection practices to meet organisational and regulatory requirements.
- Strengthen threat detection and incident response using Microsoft security operations tools.
- Manage and continuously improve cloud and AI security posture through monitoring, risk assessment, and remediation.
Prerequisite
Participants should have:
- Fundamental knowledge of cloud and cybersecurity concepts.
- Experience administering Microsoft Azure environments.
- Familiarity with Microsoft Entra ID and identity management.
- Basic understanding of Microsoft 365 administration and security.
- Awareness of security, compliance, and risk management practices.
"This course provided a comprehensive and practical learning experience, combining hands-on labs with real-world cloud and AI security scenarios, which significantly improved my confidence in implementing end-to-end security controls across Microsoft Azure and Microsoft 365 environments." ~ Ramesh
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