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Introduction to Microsoft Azure Data core data concepts
Introduction to Microsoft Azure Data core data concepts
CCSP~1
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6 certifications. Updated daily.
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Introduction to Microsoft Azure Data core data concepts
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.
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.
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.
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.
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.
Microsoft 365 Copilot accesses organizational data to generate responses, which introduces new risks for sensitive information exposure. Learn how to use Microsoft Purview audit, sensitivity labels, and data loss prevention to investigate, classify, and protect data in a Copilot-enabled environment.
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.
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.
Enhance security operations by using Microsoft Security Copilot (SC-5006).
Reduce data exposure risk by using Data Security Posture Management in Microsoft Purview to assess posture, protect sensitive data, and investigate risks.
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.
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.
A vendor-led learning path on Cisco's SSE and ZTNA stack, including ISE policy design and Umbrella DNS security. Three modules, hands-on with dCloud labs.
Organizations need to classify, label, and protect sensitive data to prevent exposure and ensure compliance. Microsoft Purview solutions provide data classification, sensitivity labels, and encryption to secure information across Microsoft 365 and on-premises storage. This learning path aligns with exam SC-401: Microsoft Information Security Administrator.
Implement Microsoft Purview Insider Risk Management to detect, investigate, and respond to internal risks while protecting data, ensuring compliance, and maintaining employee trust.
A guided lab applying IAM Roles for Service Accounts, OPA/Gatekeeper policies, and KMS-encrypted secrets to a 3-tier app running on EKS. Includes a downloadable Terraform module.
SC-900: Introduction to security, compliance, and identity concepts
SC-100: Design security solutions for infrastructure
SC-900: Introduction to Microsoft security solutions
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.
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.
Vendor walkthrough of the SecureX orchestration story — integrations, response workflows, threat hunting via cross-product pivots.
Hands-on lab: write three production analytics rules with KQL, then tune them against a noisy data set. Includes a downloadable workspace template.
Management and governance focused portion of Introduction to Cloud Infrastructure training.
Build strategies around security and compliance and prepare for Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions.
A 3-hour learning path covering conditional access, Privileged Identity Management, workload identities, and migration patterns from legacy AD. Includes 5 labs and a knowledge check.
Master the art of safeguarding sensitive data and enforcing governance for AI workloads on Azure. This learning path is crafted for IT and security professionals tasked with maintaining data protection and compliance in AI environments. Discover how to prevent data exfiltration and apply governance policies that ensure consistent, secure AI deployments. Learn to combine technical controls with strategic oversight to create resilient, policy-driven AI architectures that align with organizational and regulatory standards.
Optimize your AI operations with the "Monitor AI Workloads on Azure" learning path. Through targeted modules, you learn to monitor Azure AI services, evaluate the performance of AI applications with Azure Monitor, and explore the fundamentals of monitoring AI models with Azure AI Foundry. This path equips professionals with the skills to ensure efficient, reliable, and high-performing AI workloads on Azure's robust platform. Start mastering AI monitoring strategies today!
Strengthen your command over securing network access for AI workloads in Azure. This learning path is tailored for Cloud Administrators and IT professionals looking to enforce precise access controls and ensure isolation of sensitive AI resources. Learn how to implement private endpoints, configure virtual networks, and restrict exposure of Azure AI services and Azure Machine Learning workspaces. Whether you're designing robust hybrid networks or hardening cloud-native architectures, this path empowers you with practical skills to safeguard your AI infrastructure in today's security-first digital landscape.
Learn the fundamental concepts of AI security.
A self-paced module set covering Defender XDR sensor deployment, baseline policies, automated investigation tuning, and integration with Sentinel.
Learn to protect data with encryption and access controls, tune query performance, implement CI/CD pipelines for database projects, and integrate SQL solutions with Azure services.
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.
Learn how to manage application secrets and configuration for AI solutions on Azure using Azure Key Vault and Azure App Configuration.
Learn to protect your network from cyber security attacks to secure your networking infrastructure.
Organizations need to prevent data loss and safeguard sensitive information to meet security and compliance goals. Microsoft Purview provides DLP capabilities to detect and respond to risky activities across cloud and endpoint environments. Learn how to design, configure, and manage DLP policies using Microsoft Purview. This learning path aligns with exam SC-401: Microsoft Information Security Administrator.
AZ-305: Design identity, governance, and monitor solutions
AZ-104: Manage identities and governance in Azure
Learn to create and manage identity and access using Microsoft Entra ID. Explore the basics of creating users, groups, and how to control access with conditional access.
Plan and implement an identity governance strategy
Strengthen security posture using Microsoft Defender for Cloud and Microsoft Sentinel
Use Microsoft Entra to manage access by using entitlements, access reviews, privileged access tools, and monitor access events. (SC-5008)
Protect identity and access in Azure
Protect network infrastructure in Azure
Windows Server high availability
Windows Server file servers and storage management
Active Directory Domain Services
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