“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
Implement end‑to‑end security controls for cloud and AI workloads
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.
Duration
4 days
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Microsoft
SecurityImplement end‑to‑end security controls for cloud and AI workloads
Security Copilot
On this page
Ideal for
Audience Profile
Built for these roles
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
Overview
Executive overview
Official Microsoft Learn-aligned instructor-led program for Implement end‑to‑end security controls for cloud and AI workloads.
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 security copilot scenarios
Strengthen capability in role-based scenarios
Curriculum
Curriculum roadmap
Security
Security Copilot
Role-Based
1Module 1
Secure access to resources by using Microsoft Entra
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Module 1
Secure access to resources by using Microsoft Entra
Learn to design and implement strong authentication controls, apply Just-in-Time privileged access strategies, and extend identity-based security to AI-powered applications using Microsoft Entra.
- Manage and implement authentication methods in Microsoft Entra ID
- Implement and configure Privileged Identity Management (PIM)
- Authenticate your API plugin for declarative agents with secured APIs
2Module 2
Secure Azure Key Vault with defense in depth for the cloud and AI workloads
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Module 2
Secure Azure Key Vault with defense in depth for the cloud and AI workloads
Implement a defense-in-depth security strategy for Azure Key Vault. Configure hardened vault settings, control access through RBAC and just-in-time privilege, manage keys, secrets, and certificates, and detect threats using Microsoft Defender for Key Vault and Defender CSPM.
- Configure and secure Azure Key Vault
- Manage keys and secrets in Azure Key Vault
- Manage certificates and monitor Azure Key Vault
- Protect Azure Key Vault with Microsoft Defender for Cloud
3Module 3
Enforce security governance and regulatory compliance
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Module 3
Enforce security governance and regulatory compliance
Enforce security governance and regulatory compliance across Azure environments using Azure Policy, Microsoft Defender for Cloud, Azure RBAC. Then enable Azure Backup security features, and infrastructure as code scanning.
- Enforce governance with Azure Policy and resource locks
- Configure security controls and remediate recommendations in Defender for Cloud
- Evaluate regulatory compliance in Defender for Cloud
- Manage and right-size RBAC role assignments for least privilege
- Protect backup data with Azure Backup security features
- Implement security controls in infrastructure as code
4Module 4
Implement security for Azure Storage for the cloud and AI security engineer
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Module 4
Implement security for Azure Storage for the cloud and AI security engineer
Implement a defense-in-depth security strategy for Azure Storage. Harden storage accounts, govern access with Microsoft Entra ID and stored access policies, enforce network perimeter controls using firewall rules and private endpoints, and enable Microsoft Defender for Storage to detect threats from malicious uploads and compromised AI agent credentials.
- Describe Azure storage services
- Implement security and manage access for Azure Storage
- Configure network security for Azure Storage
- Implement Microsoft Defender for Storage
5Module 5
Implement security for Azure SQL databases
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Module 5
Implement security for Azure SQL databases
Implement end-to-end security for Azure SQL Database and SQL Managed Instance. Configure Entra ID authentication with managed identity access, deploy private endpoints, and apply encryption and access controls to protect sensitive financial data. Establish compliant audit trails and enable Microsoft Defender for Databases to detect SQL injection, anomalous access, and vulnerability exposures.
- Configure platform-level security for Azure SQL
- Configure auditing for Azure SQL Database and SQL Managed Instance
- Implement Microsoft Defender for Databases
6Module 6
Implement network security controls in Azure
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Module 6
Implement network security controls in Azure
Implement defense-in-depth network security controls in Azure. Segment workloads to control lateral movement, centralize traffic inspection with Azure Firewall, harden remote and hybrid connectivity, and eliminate public network exposure of PaaS and AI services using private endpoints.
- Segment and isolate Azure workloads using network security controls
- Centralize and enforce traffic inspection using Azure Firewall
- Secure remote and hybrid connectivity using VPN gateways and Microsoft Entra Private Access
- Eliminate public network exposure of Azure PaaS services
7Module 7
Implement security for AI
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Module 7
Implement security for AI
Implement a defense-in-depth security strategy for AI workloads across Microsoft's AI platform. Configure data security posture management in Microsoft Purview, secure agent identities in Microsoft Entra, and analyze AI identity risks in Microsoft Defender XDR. Then, enable real-time agent protection in Microsoft Defender, configure AI Gateway security in Microsoft Foundry, manage guardrails, protect AI workloads with Defender for Cloud, and govern agents with Microsoft Agent 365.
- Secure access for Microsoft Entra Agent Identity
- Analyze AI identity risks using Microsoft Defender XDR
- Enable real-time protection for Copilot Studio agents
- Configure AI Gateway security in Microsoft Foundry
- Configure and manage guardrails in Microsoft Foundry
- Protect AI workloads with Microsoft Defender for Cloud
- Enable Defender for AI Services workload protection in Microsoft Defender for Cloud
- Manage agents using Microsoft Agent 365
- Identify AI data risks using Microsoft Purview Data Security Posture Management
8Module 8
Implement security for servers and virtual machines
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Module 8
Implement security for servers and virtual machines
Implement layered security controls across Azure virtual machines and Arc-enabled hybrid servers. Configure disk encryption, Trusted Launch, Azure Bastion, Microsoft Defender for Servers, just-in-time VM access, and Azure Machine Configuration to close security gaps across your server estate.
- Implement disk encryption for Azure virtual machines
- Configure trusted launch security features for Azure virtual machines
- Plan and implement Azure Bastion
- Manage security for Arc-enabled hybrid servers
- Implement Microsoft Defender for Servers
- Enable and enforce just-in-time VM access
- Enforce VM security configuration with Azure Machine Configuration
9Module 9
Secure Azure application platform services for the cloud and AI security engineer
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Module 9
Secure Azure application platform services for the cloud and AI security engineer
Implement security controls across Azure application platform services—from container workloads to the API layer. Configure Microsoft Defender for Containers, secure Azure Kubernetes Service (AKS), Azure Container Registry (ACR), Container Instances, and Container Apps. Then apply authentication, network access, and policy controls across Azure Function apps, Logic apps, App Services, Web Application Firewall, and Azure API Management.
- Detect container risks using Microsoft Defender for Containers
- Implement security controls for Azure Kubernetes Service
- Implement security controls for Azure Container Registry, Container Instances, and Container Apps
- Implement security controls for Azure Function apps and Logic apps
- Implement security controls for Azure App Services and Web Application Firewall
- Implement API backend security using Azure API Management
10Module 10
Manage security posture by using Microsoft Defender for Cloud
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Module 10
Manage security posture by using Microsoft Defender for Cloud
Learn to manage cloud security posture using Microsoft Defender for Cloud. You connect hybrid and multicloud environments, identify risks, and assess compliance—then protect your workloads with threat detection and vulnerability management.
- Connect hybrid and multicloud environments to Microsoft Defender for Cloud
- Identify security risks by using Cloud Security Posture Management
- Discover unprotected assets and vulnerabilities by using Microsoft Defender External Attack Surface Management
- Evaluate regulatory compliance in Defender for Cloud
- Enable and configure workload protection plans in Microsoft Defender for Cloud
- Configure Microsoft Defender Vulnerability Management settings for Azure VMs
11Module 11
Implement activity and event collection in Microsoft Sentinel
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Module 11
Implement activity and event collection in Microsoft Sentinel
Build a complete event collection and response architecture in Microsoft Sentinel. Set up and secure a Microsoft Sentinel workspace, deploy Content Hub solutions, connect Azure resource data, collect Linux and Windows security events with data collection rules, implement automated response workflows with Logic Apps playbooks, and manage data retention for compliance.
- Create and manage Microsoft Sentinel workspaces
- Manage content in Microsoft Sentinel
- Connect Microsoft services to Microsoft Sentinel
- Connect syslog data sources to Microsoft Sentinel
- Connect Common Event Format logs to Microsoft Sentinel
- Connect Windows hosts to Microsoft Sentinel
- Implement automation rules and playbooks in Microsoft Sentinel
- Manage data storage and query audit logs in Microsoft Sentinel
12Module 12
Deploy and operate Microsoft Security Copilot
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Module 12
Deploy and operate Microsoft Security Copilot
Build hands-on expertise with Microsoft Security Copilot. Start with enabling the solution and writing effective prompts to configuring enterprise workspaces and managing plugins and agents at scale.
- Describe Microsoft Security Copilot
- Configure workspaces for Microsoft Security Copilot
- Manage plugins and agents in Microsoft Security Copilot
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for Implement end‑to‑end security controls for cloud and AI workloads 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-500T00
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
