Important This course will be available 3/27/2026 Secure AI solutions in the cloud by configuring AI workloads, applying cloud-native protections, and reinforcing security outcomes with identity...
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This course will be available 3/27/2026
Secure AI solutions in the cloud by configuring AI workloads, applying cloud-native protections, and reinforcing security outcomes with identity controls. Learn how AI workloads authenticate, how trust boundaries are established, and how security posture and workload protection reduce risk using Microsoft Defender for Cloud and Microsoft Foundry. Extend these protections by using Microsoft Entra to design and apply identity and access controls that explain and harden earlier security decisions. Learning outcomes:
This course is intended for professionals responsible for securing and operating AI workloads in the cloud. The audience includes cloud security engineers, platform engineers, and application teams working with AI services who need to understand how workload protection, security posture, and identity controls apply to AI environments. Familiarity with Azure, cloud-native security concepts, and basic identity and access principles is recommended.
Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.
Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.
Lunch is normally an hour-long after 3-3.5 hours of the class day.
Microsoft courses are conducted in English unless otherwise specified.
Topics, material and specially instructor (Graham Godfrey) was beyond my expectations.
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Brandon was a great instructor. The virtual course materials and labs provided were very informative.
Class was easy to sign up for and ExitCertified provided very good communication
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