SC-500 Course: Implement End-to-End Security Controls for Cloud and AI Workloads
The SC-500 Course: Implement End-to-End Security Controls for Cloud and AI Workloads is an official Microsoft training program aimed at professionals who want to implement advanced security controls to protect applications, data, cloud infrastructure, and artificial intelligence-based workloads. The training focuses on the security capabilities built into the Microsoft ecosystem, including Azure, Microsoft Defender, Microsoft Entra, and AI-related services.
Modern organizations need to protect increasingly complex environments that combine cloud services, distributed applications, artificial intelligence models, and large volumes of data. Microsoft provides governance, protection, detection, and response tools that help reduce risks, control access to resources, and strengthen security across all layers of the technology architecture.
The course is designed for security architects, cloud engineers, security administrators, DevSecOps professionals, and specialists responsible for protecting Microsoft environments. Its practical approach allows participants to apply identity and access controls, data protection, monitoring, and workload security in real-world business scenarios.
In addition, this course is official Microsoft training and eligible for FUNDAE subsidies for businesses, making it easier to acquire key skills in one of the most in-demand areas in cybersecurity and the protection of artificial intelligence-based solutions.
Course Overview
The SC-500 Course: Implement End-to-End Security Controls for Cloud and AI Workloads provides the knowledge needed to design and implement comprehensive security strategies in cloud environments and artificial intelligence-powered solutions within the Microsoft ecosystem.
During the training, participants will learn how to apply identity and access controls, protect applications and data, monitor security activities, and reduce the attack surface against threats. The course also covers the capabilities of Microsoft Defender, Microsoft Entra, Azure, and other tools used to protect business resources and modern workloads.
The training also addresses the specific challenges associated with adopting artificial intelligence, including access control to models, the protection of data used by AI systems, resource governance, and the application of security best practices in cloud architectures. All of this is delivered with a practical approach focused on real-world business scenarios.
Online course with certification exam included free of charge. Don't miss this opportunity! The exam is valued at €126 + VAT and is included at no additional cost.
Promotion valid until December 31, 2026. One-time exam available only in Virtual - Distance Learning format.
What is the Microsoft SC-500 certification used for in a professional environment?
The Microsoft SC-500 certification validates specialized skills in implementing end-to-end security controls for cloud workloads and artificial intelligence-based solutions. It is designed for professionals who need to protect applications, data, identities, and critical resources within modern business environments based on Microsoft Azure and AI services.
In the job market, this certification is particularly relevant for roles such as Security Engineer, Cloud Security Architect, Azure Administrator, DevSecOps Engineer, cybersecurity specialist, and professionals responsible for protecting cloud infrastructure. Organizations increasingly demand experts capable of managing security risks associated with hybrid environments, cloud services, and artificial intelligence-powered applications.
Obtaining the SC-500 certification improves employability, facilitates specialization in cloud security, and enables participation in projects related to data protection, access control, regulatory compliance, threat detection, and AI environment governance. These skills are essential for organizations seeking to adopt advanced technologies while maintaining high levels of security and trust.
Professional Applications of Microsoft Azure Security and AI Security
Microsoft Azure Security provides the set of tools and services that allow organizations to protect identities, applications, infrastructure, and data within Microsoft's cloud ecosystem. These capabilities are especially important in environments where business services, cloud platforms, and artificial intelligence-powered solutions coexist.
In organizations, Azure security technologies are used to control access, protect critical applications, monitor activities, detect threats, and apply regulatory compliance measures. They also enable the implementation of Zero Trust security models, the protection of cloud workloads, and the assurance that artificial intelligence solutions use data and resources securely.
The SC-500 course enables participants to apply these capabilities in real-world business scenarios, providing knowledge of cloud resource protection, AI environment governance, identity management, access control, and threat monitoring. These skills help organizations deploy secure, scalable solutions aligned with modern cybersecurity best practices.
What Official Microsoft Courses and Certifications at Nanfor Include
The training includes Microsoft Learn material, presentations by expert instructors, authorized labs, specialized tutoring, and certification preparation.
Nanfor combines official Microsoft content with expert guidance, enabling training focused on practical application in real-world business environments.
Learn all the components
Advantages of SC-500 Training
Training in SC-500: Implement End-to-End Security Controls for Cloud and AI Workloads enables participants to acquire the skills needed to protect cloud environments, business applications, and artificial intelligence-based workloads using security solutions within the Microsoft ecosystem.
- Implement end-to-end security controls in cloud environments.
- Protect identities, applications, and resources using Microsoft Entra.
- Apply Zero Trust strategies to business infrastructure.
- Use Microsoft Defender to detect and respond to advanced threats.
- Protect data and resources used by artificial intelligence workloads.
- Reduce security risks through continuous monitoring and governance.
- Implement access controls and protection for sensitive resources.
- Acquire skills applicable to modern cloud architectures and hybrid environments.
In addition, this training enables participants to understand how organizations can protect their digital assets and AI solutions while maintaining high levels of compliance, resilience, and operational security.
Prerequisites
To get the most out of the SC-500 course, prior experience in system administration, cloud services, or security technologies within the Microsoft ecosystem is recommended.
Basic knowledge of the following is especially recommended:
- Microsoft Azure.
- Microsoft Entra ID.
- Cloud security fundamentals.
- Access control and identities.
- Networking and system administration concepts.
- Business services based on Microsoft 365.
The course is designed for technical professionals involved in cloud security projects, data protection, identity governance, DevSecOps, or the implementation of artificial intelligence-based workloads.
Preparation for the Microsoft SC-500 Certification
This SC-500 Course: Implement End-to-End Security Controls for Cloud and AI Workloads prepares participants for the official Microsoft Certified: Security Engineer Associate certification, providing the knowledge needed to implement security controls, protect identities, secure cloud workloads, and apply protection best practices in artificial intelligence environments using Microsoft technologies.
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Course duration:
100 hours
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Classroom access:
3 months
General Course Information
Who is the Microsoft SC-500 course designed for?
The SC-500 Course: Implement End-to-End Security Controls for Cloud and AI Workloads is designed for professionals responsible for protecting cloud infrastructure, business applications, and artificial intelligence-based solutions within the Microsoft ecosystem.
It is especially suitable for Security Engineers, Azure administrators, cloud architects, cybersecurity specialists, DevSecOps professionals, and governance and compliance officers involved in projects related to protecting identities, data, and modern workloads.
It is also recommended for professionals who want to specialize in implementing Zero Trust security strategies, protecting cloud resources, and applying security to artificial intelligence environments using Microsoft technologies.
SC-500 Course Objectives and What You Will Learn
By the end of the SC-500 course, you will be able to implement end-to-end security controls to protect applications, identities, data, and cloud and AI workloads within the Microsoft ecosystem.
- Understand security principles applied to cloud environments and artificial intelligence.
- Implement identity and access controls using Microsoft Entra ID.
- Apply Zero Trust strategies to reduce security risks.
- Protect applications and resources deployed in Azure.
- Use Microsoft Defender to detect and respond to threats.
- Protect data and workloads used by artificial intelligence solutions.
- Monitor cloud resources using Microsoft security tools.
- Implement governance and regulatory compliance controls.
- Reduce the attack surface of modern infrastructure.
- Prepare for real-world cloud and AI security scenarios in business environments.
Microsoft Learn SC-500 Collection Elements
The official Microsoft Learn collection associated with the SC-500 course includes the following learning paths:
- Secure access to resources using Microsoft Entra
- Protect Azure Key Vault for the cloud and AI security engineer
- Apply security governance and regulatory compliance with Azure Policy
- Implement security for Azure Storage for the cloud and AI security engineer
- Implement security for Azure SQL databases
- Implement network security controls in Azure
- Implement security for artificial intelligence
- Implement security for servers and virtual machines
- Secure application platform services for the cloud and AI security engineer
- Manage security posture using Microsoft Defender for Cloud
- Implement activity and event collection in Microsoft Sentinel
- Implement and operate Microsoft Security Copilot
These learning paths enable participants to develop skills to protect identities, applications, networks, data, cloud resources, and artificial intelligence workloads using the most advanced security technologies in the Microsoft ecosystem.
SC-500 Course Content – Official Program
Unit 1. Identity, Access, and Security Governance
Identity governance and access control
- Always-on access and Just-In-Time access
- Privileged Identity Management
- Managed identities and Microsoft Entra agents
- Conditional access and identity protection
- Application registration
Azure Key Vault Protection
- Secrets, keys, and certificates
- RBAC and access policies
- Managed identities
- Network controls
- Soft delete and purge protection
- Microsoft Defender for Key Vault
Security Governance and Role Management
- Azure Policy
- Compliance and remediation
- Policy deployment using Bicep
- Azure RBAC
- Built-in and custom roles
- Resource locks
Unit 2. Data and Network Security in Azure
Security for Azure Storage Accounts
- Firewalls and network access
- Data plane and management plane
- SAS tokens
- Stored access policies
- Encryption and Microsoft Defender for Storage
Security for Azure Databases
- SQL authentication and Microsoft Entra ID
- Azure SQL Firewalls
- Azure Private Link
- Auditing and event logging
- Microsoft Defender for Databases
Security for Azure Networks
- Network and application security groups
- Azure Firewall
- Hub-and-spoke architecture
- Private and service endpoints
- Microsoft Entra private access
- Network Watcher
Unit 3. Data, Identity, and AI Workload Security
AI Data Risks and Exposure with Microsoft Purview DSPM
- Exposure of sensitive information
- Excessive sharing in SharePoint
- Copilot risk assessment
- Interpretation and remediation of findings
Identity and Access Security for AI Agents
- Agent and workload identities
- Non-human identity risks
- Blast radius analysis
- Conditional access
Agent governance
Microsoft Foundry and AI Gateway Security
- AI API risks
- Prompt injection
- API Management as a gateway
- Microsoft Foundry protection limits
- Microsoft Defender for AI services
AI Security Monitoring in Defender for Cloud
- Data and AI security dashboard
- Findings and recommendations
- Severity interpretation
- Risk prioritization and communication
Unit 4. Workload protection and security operations
Security for servers and virtual machines
- Just-In-Time access
- Azure Arc
- Microsoft Defender for servers
- Vulnerability assessment
- Agentless and agent-based scanning
- Disk encryption
Security for application platform services
- Container and AKS security
- Azure Container Registry protection
- Kubernetes network policies
- App Service security
- Web application firewall
- Application and API protection
Security posture management in Defender for Cloud
- Security score
- Recommendations and alerts
- Regulatory compliance
- CSPM and secret scanning
- Governance and remediation
- Multi-cloud protection
Microsoft Sentinel configuration and data collection
- Architecture and workspaces
- Data connectors
- Integration with Defender XDR
- Automation rules
- Playbooks and Logic Apps
Microsoft Security Copilot configuration
- Standalone and integrated experiences
- Security processing units
- Roles and least privileges
- Privacy and data configuration
- Add-ins and agents
- Security task automation
Our differentiator: Hands-on labs
*Labs will be operational from mid-August
One of the main differentiating values of the course SC-500: Implement End-to-End Security Controls for Cloud and AI Workloads is its practical approach based on real-world cloud security and artificial intelligence scenarios. Through guided labs, participants learn to implement security controls for identities, applications, data, networks, Azure resources, and AI solutions using Microsoft's most advanced security technologies.
The practical exercises allow you to gain direct experience in protecting cloud workloads, implementing Zero Trust models, monitoring threats, and applying security controls to artificial intelligence environments and distributed enterprise services.
| Nanfor Lab |
Technical skills developed |
Practical learning outcome |
| Lab 1: Implementing secure access with Microsoft Entra |
Identity configuration, multi-factor authentication, conditional access, and privilege control |
Ability to protect access to enterprise resources using modern identity and Zero Trust models |
| Lab 2: Protecting secrets and keys with Azure Key Vault |
Secrets, keys, and certificate management, access control, and credential protection |
Secure implementation of credential storage and protection of sensitive information used by applications and services |
| Lab 3: Governance and compliance with Azure Policy |
Policy creation, compliance assessment, and enforcement of corporate standards |
Ability to control security configurations and reduce operational risks through automated controls |
| Lab 4: Protecting Azure Storage |
Encryption configuration, access control, data protection, and storage monitoring |
Implementation of protection mechanisms for storage resources used by enterprise applications and workloads |
| Lab 5: Security for Azure SQL databases |
Database protection, auditing, access control, and defensive measure configuration |
Ability to reduce data exposure risks and protect critical enterprise information |
| Lab 6: Implementing network security controls in Azure |
Security group configuration, network segmentation, access rules, and perimeter protection |
Design of secure network architectures that minimize the attack surface |
| Lab 7: Protecting Artificial Intelligence workloads |
Application of access controls, protection of data used by AI models, and artificial intelligence resource governance |
Ability to deploy secure, controlled AI solutions aligned with corporate requirements |
| Lab 8: Security for servers and virtual machines |
System protection, hardening, monitoring, and threat response |
Implementation of security measures for computing resources in Azure environments |
| Lab 9: Protecting Azure application services |
Cloud application security, managed identities, authentication, and resource protection |
Secure deployment of enterprise applications and services exposed to users and external systems |
| Lab 10: Security posture management with Microsoft Defender for Cloud |
Risk assessment, security recommendations, resource protection, and continuous posture management |
Ability to identify vulnerabilities and proactively strengthen cloud environments |
| Lab 11: Threat monitoring and detection with Microsoft Sentinel |
Event collection, activity analysis, alert creation, and security monitoring |
Implementation of SIEM capabilities to detect and respond to security incidents |
| Lab 12: Operating Microsoft Security Copilot |
Use of AI applied to cybersecurity, investigation assistance, threat analysis, and security task automation |
Ability to use Microsoft Security Copilot to support cybersecurity teams and SOC operations |
Thanks to these labs, participants gain practical experience in protecting identities, applications, cloud infrastructure, and artificial intelligence solutions, developing skills directly applicable to real cybersecurity projects within the Microsoft ecosystem.
Course language
- Course: English / Spanish
- Labs: English / Spanish
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Nanfor, Microsoft's official ICT training center
Nanfor is a custom ICT training center specializing in technology training for professionals and businesses, and it is officially accredited by Microsoft as:
- Microsoft Solutions Partner – Training Services
- Microsoft Cloud Partner
These accreditations certify that Nanfor meets Microsoft's standards for delivering technical courses, using Microsoft content and Microsoft Certified Trainers (MCTs), ensuring quality, continuous updates, and alignment with certifications.
Frequently asked questions about the SC-500 course
What is the Microsoft Azure Security and AI Workloads SC-500 course?
The Microsoft Azure Security and AI Workloads SC-500 course is official Microsoft training focused on implementing end-to-end security controls to protect identities, applications, data, cloud resources, and artificial intelligence solutions.
What is the Microsoft Azure Security SC-500 certification used for?
The Microsoft Azure Security SC-500 certification validates knowledge related to protecting cloud environments and artificial intelligence using Microsoft security technologies, helping to implement governance strategies, secure access, data protection, and threat monitoring.
Is the Microsoft Azure Security SC-500 course official from Microsoft?
Yes. The Microsoft Azure Security SC-500 course is official Microsoft training based on Microsoft Learn and aligned with best practices for protecting cloud infrastructure, enterprise applications, and artificial intelligence workloads.
How does the Microsoft Azure Security SC-500 course differ from other Microsoft security certifications?
The SC-500 course stands out for its focus on end-to-end security for cloud environments and artificial intelligence. It integrates technologies such as Microsoft Entra, Microsoft Defender, Microsoft Sentinel, Azure Security, and Microsoft Security Copilot into a unified protection strategy.
Is the Microsoft Azure Security SC-500 course eligible for FUNDAE subsidies?
Yes. The Microsoft Azure Security SC-500 course is eligible for FUNDAE subsidies for businesses, allowing you to recover all or part of the training investment depending on the available credits.
How long is the Microsoft Azure Security SC-500 course?
The duration of the SC-500 course depends on the selected delivery method. The training includes official Microsoft Learn content, practical labs, and resources focused on real-world cloud security and artificial intelligence scenarios.
Is the Microsoft Azure Security SC-500 course included in Nanfor's LaaS?
Yes. The Microsoft Azure Security SC-500 course can be part of Nanfor's LaaS programs, facilitating continuous access to specialized training in cybersecurity, cloud computing, and artificial intelligence.
What technical level is required for the Microsoft Azure Security SC-500 course?
The SC-500 course is aimed at technical profiles with prior experience in Azure, cloud security, or Microsoft infrastructure management. It is especially recommended for security professionals, cloud architects, and system administrators.
What career opportunities does the Microsoft Azure Security SC-500 course offer?
The SC-500 course allows you to develop relevant skills for roles such as Security Engineer, Cloud Security Architect, Azure Administrator, DevSecOps Engineer, cybersecurity specialist, or cloud security and artificial intelligence manager within modern organizations.
