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Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra (SC-5009)

  • Référence M-SC5009
  • Durée 1 Jour

Modalité pédagogique

Classe inter en présentiel Prix

EUR795.00

hors TVA

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Modalité pédagogique

La formation est disponible dans les formats suivants:

  • Classe inter à distance

    Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.

  • Classe inter en présentiel

    Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.

  • Intra-entreprise

    Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.

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Résumé

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Secure AI workloads in Azure using cloud native protection and identity controls.

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.

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Public

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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.

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Objectifs de la formation

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After this course participants should be able to:

  • Apply security posture management and workload protection for AI services using Microsoft Defender for Cloud
  • Configure and secure Microsoft Foundry environments using cloud-native security controls
  • Design and apply identity and access controls for AI workloads using Microsoft Entra
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Programme détaillé

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Module 1: Protect Microsoft Foundry solutions by using Microsoft Defender for Cloud

  • Understand how Microsoft Defender for Cloud supports AI security and governance in Azure
  • Protect AI workloads with Microsoft Defender for Cloud
  • Configure and manage guardrails in Microsoft Foundry
  • Secure Microsoft Foundry environments
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Pré-requis

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Learners should have:

  • Familiarity with Microsoft Azure and cloud‑native security concepts, including workload protection and security posture management.
  • Basic understanding of identity and access management concepts, such as authentication and authorization principles.
  • Experience or exposure to securing cloud workloads, especially in Azure environments.
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Certification

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None

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Et après 

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None

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