SC-500: Implement End-to-End Security Controls for Cloud and AI Workloads | Microsoft Certification Preparation

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 workloads. The training focuses on the integrated security capabilities within 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 resource access, and strengthen security across all layers of the technology architecture. The course is aimed at security architects, cloud engineers, security administrators, DevSecOps professionals, and specialists responsible for protecting Microsoft environments. Its practical approach allows for the application of identity, access, data protection, monitoring, and workload security controls in real business scenarios. Furthermore, this course is official Microsoft training and eligible for FUNDAE funding for companies, facilitating the acquisition of key skills in one of the most in-demand areas within cybersecurity and the protection of AI-based solutions. Course Overview The SC-500 course: Implement End-to-End Security Controls for Cloud and AI Workloads provides the necessary knowledge to design and implement comprehensive security strategies in cloud environments and artificial intelligence-driven 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. They will also study the capabilities of Microsoft Defender, Microsoft Entra, Azure, and other tools used to protect business resources and modern workloads. The training also addresses specific challenges associated with the adoption of artificial intelligence, including access control to models, protection of data used by AI systems, resource governance, and the application of best security practices in cloud architectures. All of this is done with a practical approach oriented towards real business scenarios. Virtual course with included certification exam as a gift. 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-attempt exam available only in Virtual - E-learning mode. Not applicable to Self-Learning mode. 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 aimed at professionals who need to protect critical applications, data, identities, and 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 infrastructures. Organizations increasingly demand experts capable of managing security risks associated with hybrid environments, cloud services, and AI-driven applications. Obtaining the SC-500 certification improves employability, facilitates specialization in cloud security, and allows participation in projects related to data protection, access control, regulatory compliance, threat detection, and governance of AI environments. These capabilities are fundamental 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 protecting identities, applications, infrastructures, and data within the Microsoft cloud ecosystem. These capabilities are especially important in environments where business services, cloud platforms, and artificial intelligence-driven 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 allow implementing Zero Trust security models, protecting cloud workloads, and ensuring that artificial intelligence solutions use data and resources securely. The SC-500 course allows applying these capabilities in real business scenarios, providing knowledge about 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 is included in official Microsoft courses and certifications at Nanfor? The training includes Microsoft Learn material, expert tutor presentations, authorized labs, specialized tutorials, and certification preparation. Nanfor combines official Microsoft content with expert support, enabling training oriented towards practical application in real business environments. Learn about all components Benefits of SC-500 training The training in SC-500: Implement End-to-End Security Controls for Cloud and AI Workloads allows acquiring the necessary skills to protect cloud environments, business applications, and artificial intelligence-based workloads using the security solutions of the Microsoft ecosystem. Implement end-to-end security controls in cloud environments. Protect identities, applications, and resources using Microsoft Entra. Apply Zero Trust strategies in enterprise infrastructures. 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 applicable knowledge for modern cloud architectures and hybrid environments. Additionally, this training helps 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. It is especially advisable to have basic knowledge of: Microsoft Azure. Microsoft Entra ID. Fundamentals of cloud security. Access control and identities. Networking concepts and system administration. Enterprise services based on Microsoft 365. The course is aimed at technical profiles involved in cloud security projects, data protection, identity governance, DevSecOps, or the implementation of artificial intelligence-based workloads. Preparation for Microsoft SC-500 certification This course SC-500: Implement End-to-End Security Controls for Cloud and AI Workloads prepares for the official Microsoft Certified: Security Engineer Associate certification, providing the necessary knowledge to implement security controls, protect identities, secure cloud workloads, and apply good protection practices in artificial intelligence environments using Microsoft technologies. ⏱️ Course Duration: 100 hours 💻 Modalities and Support: Virtual, support always by your side Self Learning, Self-study 🔑 Access to classroom: 3 months General Course Information Who is the Microsoft SC-500 course for? The SC-500 course: Implement End-to-End Security Controls for Cloud and AI Workloads is aimed at professionals responsible for protecting cloud infrastructures, 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 managers who participate in projects related to the protection of identities, data, and modern workloads. It is also a recommended training for professionals who wish to specialize in implementing Zero Trust security strategies, protecting cloud resources, and security applied to artificial intelligence environments using Microsoft technologies. SC-500 Course Objectives and What You Will Learn Upon completion 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 the security principles applied to cloud and artificial intelligence environments. 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 infrastructures. Prepare for real-world cloud and AI security scenarios in enterprise environments. Elements of the SC-500 Microsoft Learn Collection 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 with Microsoft Defender for Cloud Implement activity and event collection in Microsoft Sentinel Implement and operate Microsoft Security Copilot These learning paths enable the development of 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 Permanent Access and Just-In-Time Access Privileged Identity Management Managed Identities and Microsoft Entra Agents Conditional Access and Identity Protection Application Registration Protecting Azure Key Vault 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 Implementing Policies with 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 Sensitive Information Exposure Excessive Sharing in SharePoint Copilot Risk Assessment Interpreting and Remediating 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 Instruction 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. Protecting Workloads and Security Operations Security for Servers and Virtual Machines Just-In-Time Access Azure Arc Microsoft Defender for Servers Vulnerability Assessment Agent-based and Agentless 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 Managing Security Posture in Defender for Cloud Secure Score Recommendations and Alerts Regulatory Compliance CSPM and Secret Scanning Governance and Remediation Multi-Cloud Protection Microsoft Sentinel Data Configuration and 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 Compute Units Roles and Least Privileges Privacy and Data Settings Plugins and Agents Automating Security Tasks Our Differentiating Factor: Hands-on Labs *Labs will be operational from mid-August One of the main differentiating values of the SC-500: Implement End-to-End Security Controls for Cloud and AI Workloads course 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 provide direct experience in protecting cloud workloads, implementing Zero Trust models, monitoring threats, and applying security controls to artificial intelligence environments and distributed business services. Nanfor Lab Technical Skills Developed Practical Learning Outcome Lab 1: Implementing Secure Access with Microsoft Entra Identity configuration, multifactor authentication, conditional access, and privilege control Ability to secure access to business resources using modern identity and Zero Trust models Lab 2: Protecting Secrets and Keys with Azure Key Vault Management of secrets, keys, and certificates, 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 application 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 applications and business workloads Lab 5: Security for Azure SQL Databases Database protection, auditing, access control, and configuration of defensive measures Ability to reduce data exposure risks and protect critical business information Lab 6: Implementing Network Security Controls in Azure Configuration of security groups, 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 governance of artificial intelligence resources 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 compute resources in Azure environments Lab 9: Protecting Application Services in Azure Cloud application security, managed identities, authentication, and resource protection Secure deployment of business applications and services exposed to external users and systems Lab 10: Managing Security Posture 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: Monitoring and Threat 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, assistance in investigations, threat analysis, and automation of security tasks 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 infrastructures, and artificial intelligence solutions, developing competencies directly applicable to real cybersecurity projects within the Microsoft ecosystem. Course Language Course: English / Spanish Labs: English / Spanish Want to take this course? Request information now If you wish to take this training virtually, you can purchase it at the top of the product page. If you have any questions, please contact us. If you wish to take it in in-person or telepresence mode, please contact us: Email: info@nanforiberica.com Phone: +34 91 031 66 78 WhatsApp: +34 685 60 05 91 Nanfor, official Microsoft ICT training center Nanfor is a customized ICT training center, specializing in technological training for professionals and companies, and is officially approved by Microsoft as: Microsoft Solutions Partner – Training Services Microsoft Cloud Partner These approvals 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 SC-500 Microsoft Azure Security and AI Workloads course? The SC-500 Microsoft Azure Security and AI Workloads course is an 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 purpose of the SC-500 Microsoft Azure Security certification? The SC-500 certification validates knowledge related to protecting cloud and artificial intelligence environments using Microsoft security technologies, helping to implement governance strategies, secure access, data protection, and threat monitoring. Is the SC-500 Microsoft Azure Security course official from Microsoft? Yes. The SC-500 Microsoft Azure Security course is an official Microsoft training based on Microsoft Learn and aligned with best practices for protecting cloud infrastructures, business applications, and artificial intelligence workloads. How does the SC-500 Microsoft Azure Security course differ from other Microsoft security certifications? The SC-500 course is distinguished by its focus on end-to-end security for cloud and artificial intelligence environments. It integrates technologies such as Microsoft Entra, Microsoft Defender, Microsoft Sentinel, Azure Security, and Microsoft Security Copilot within a unified protection strategy. Is the SC-500 Microsoft Azure Security course eligible for FUNDAE funding? Yes. The SC-500 Microsoft Azure Security course is eligible for FUNDAE funding for companies, allowing full or partial recovery of the investment made in training, according to available credits. What is the duration of the SC-500 Microsoft Azure Security course? The duration of the SC-500 course will depend on the chosen delivery mode. The training includes official Microsoft Learn content, practical labs, and resources oriented to real-world cloud security and artificial intelligence scenarios. Is the SC-500 Microsoft Azure Security course included in Nanfor's LaaS? Yes. The SC-500 Microsoft Azure Security 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 does the SC-500 Microsoft Azure Security course require? The SC-500 course is aimed at technical profiles with previous experience in Azure, cloud security, or Microsoft infrastructure administration. It is especially recommended for security professionals, cloud architects, and system administrators. What career opportunities does the SC-500 Microsoft Azure Security course offer? The SC-500 course develops relevant skills for profiles such as Security Engineer, Cloud Security Architect, Azure Administrator, DevSecOps Engineer, cybersecurity specialist, or cloud and artificial intelligence security manager within modern organizations.