“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
Role-Based Certification PrepTrack: SC-5009Official Source: Microsoft Learn
MicrosoftIntermediate
Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra
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: - 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
Duration
1 day
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Microsoft
SecurityIT
Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra
Azure
Security
On this page
Ideal for
Security EngineerSecurityCertification ReadinessTailored Team Delivery
Audience Profile
Built for these roles
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.
Overview
Executive overview
Official Microsoft Learn-aligned instructor-led program for Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra.
Readiness
Prerequisites
- Relevant foundational experience in the target technology area.
- Comfort with hands-on labs in a cloud or GPU-accelerated environment.
Program Outcomes
Capabilities your teams will gain
Strengthen capability in security scenarios
Strengthen capability in azure scenarios
Strengthen capability in role-based scenarios
Curriculum
Curriculum roadmap
1
Security
2
Azure
3
Role-Based
1Module 1
Protect Microsoft Foundry solutions by using Microsoft Defender for Cloud
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Module 1
Protect Microsoft Foundry solutions by using Microsoft Defender for Cloud
Learn how to secure Microsoft Foundry workloads by using Microsoft Defender for Cloud. Discover AI resources across Azure, assess their security posture, protect against runtime threats, and configure model guardrails in Microsoft Foundry to prevent unsafe or policy-violating content.
- 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
2Module 2
Secure AI identity infrastructure with Microsoft Entra
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Module 2
Secure AI identity infrastructure with Microsoft Entra
Learn how to secure identities used by AI workloads in Azure. Build skills in workload identity architecture, access management, Conditional Access, and identity risk response by using Microsoft Entra.
- Understand identity architecture for AI workloads
- Implement access management for Azure resources
- Plan, implement, and administer Conditional Access
- Manage Microsoft Entra Identity Protection
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra using the official Microsoft Learn outline.
- •Align labs to your production environment and platform priorities
- •Add readiness reviews and instructor-led practice sessions
- •Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •SC-5009
Aligned to the official Microsoft Learn course and learning path for this program.
View Official Microsoft Learn PageResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios