Prepare Security and Compliance for Microsoft 365 Copilot is an essential course for IT professionals responsible for implementing and managing AI security in their organizations. This practical training teaches you how to configure security and compliance settings for Microsoft 365 Copilot, including data protection policies, content filtering, and access controls. You’ll learn to implement responsible AI practices, manage data governance, configure information barriers, and ensure compliance with organizational policies while leveraging Copilot’s AI capabilities. The course provides hands-on experience in securing AI-powered features while maintaining productivity and compliance in your Microsoft 365 environment.
This comprehensive training enables IT administrators to master Active Directory Domain Services management. Participants will learn to configure, maintain, and troubleshoot Active Directory infrastructure, with emphasis on security and administration best practices. The course covers user and group management, Group Policy configuration, domain controller maintenance, and implementation of authentication and authorization solutions.
This comprehensive training enables IT professionals to master storage security in Azure Files and Azure Blob Storage. Participants will learn to implement robust security strategies, configure access controls, and protect data stored in the Azure cloud. The course covers encryption best practices, identity management, firewall configuration, and data protection solutions for cloud storage environments.
This comprehensive training enables IT professionals to master the deployment and configuration of Azure Monitor. Participants will learn to implement complete cloud environment monitoring, configure intelligent alerts, and optimize performance visibility. The course covers monitoring solution implementation, metrics analysis, activity log configuration, and automation strategies for proactive monitoring.
This comprehensive training enables IT professionals to master secure access configuration for workloads using Azure networking. Participants will learn to design and implement secure network architectures, configure private connections, and establish robust access controls. The course covers virtual network configuration, network security groups, Azure firewalls, and hybrid connectivity solutions.
Natural language processing solutions leverage advanced linguistic models to analyze and interpret the semantic meaning of written and spoken language, enabling the generation of contextually appropriate responses. Through the Azure AI Language service, you can develop custom models for your applications, while Azure AI Foundry provides access to powerful generative models for speech recognition and intelligent language processing.
This learning path explores how Azure AI and Azure Machine Learning Services integrations, available through the Azure AI extension for Azure Database for PostgreSQL – Flexible Server, enable you to develop intelligent applications powered by artificial intelligence.
This learning path enables you to master security implementation through a pipeline using Azure DevOps. Learn to configure and secure Azure Pipelines optimally. You will also develop your essential practical skills, including configuring secure access to pipeline resources, configuring and validating advanced permissions, establishing a robust project and repository structure, strategic pipeline extension, secure configuration of pipelines using variables and parameters, as well as efficient identity management for projects, pipelines, and agents.
This comprehensive training enables developers and IT professionals to master cloud-native application deployment using Azure Container Apps. Participants will learn to design, deploy, and manage modern containerized applications using Azure Container Apps’ advanced features. The course covers containerization best practices, microservices orchestration, automatic scaling, and integration with native Azure services.
Master the implementation of GitHub Actions and the configuration of Azure Load Testing to automate performance testing of application deployments.
Master the acceleration of application development using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment.
This learning path enables you to master the migration of SQL Server workloads to Azure SQL. You will develop complete expertise in evaluating SQL Server components and migration compatibility using the Azure SQL migration extension and Data Migration Assistant. You will also discover how to efficiently provision and configure optimized Azure SQL resources.
You will gain comprehensive practical experience to select the optimal migration strategy based on specific business requirements regarding downtime, advanced migration state management, and proactive database migration monitoring.
Additionally, you will master critical post-migration tasks, including disaster recovery and continuous monitoring. These skills are essential to ensure a smooth and efficient transition to Azure SQL and guarantee optimal performance after migration.
This learning path enables you to master the development of data-driven applications with Microsoft Azure SQL Database. You will develop complete expertise in creating and configuring an optimized Azure SQL Database, creating and deploying database projects using GitHub Actions and Azure Pipelines, and advanced automation of the publishing process.
You will also discover how to effectively leverage the Data API builder for Azure SQL Database and how to develop a high-performance Data API with Azure Web Apps and Static Web Apps. Additionally, you will acquire the strategic skills necessary to import data via external REST endpoints, export data using Azure Functions, and robustly secure an Azure SQL Database.
These essential skills will enable you to efficiently develop and manage modern applications with Azure SQL Database, ensuring optimal performance and enhanced security.
Azure Database for PostgreSQL is a high-performance PaaS database service available in the Microsoft cloud. It builds on the open-source PostgreSQL relational database and integrates native high availability, automatic backup and restore, as well as advanced security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling.
In this comprehensive learning path, you will master the key features of PostgreSQL and their optimized implementation in Azure Database for PostgreSQL. You will explore the different implementation options for Azure Database for PostgreSQL and learn to configure a server tailored to your specific business needs.
This comprehensive training enables data professionals to master lakehouse implementation with Microsoft Fabric. Participants will learn to design, deploy, and manage modern lakehouse solutions, combining the advantages of data lakes and data warehouses. The course covers setting up data pipelines, storage optimization, analytics tool integration, and best practices for ensuring data governance and quality in a Microsoft Fabric environment.
This comprehensive training enables data professionals to master data warehouse implementation with Microsoft Fabric. Participants will learn to design, deploy, and optimize modern data warehousing solutions, using Fabric’s advanced capabilities for data integration, transformation, and management. The course also covers best practices for dimensional modeling, performance optimization, and establishing efficient data pipelines in an enterprise environment.
Master the ingestion, transformation, and analysis of real-time streaming data with Microsoft Fabric. This comprehensive training enables you to develop complete expertise in leveraging Microsoft Fabric’s real-time analytics capabilities, including configuring streaming data pipelines, implementing advanced transformations, and creating high-performance analytics solutions to process massive volumes of continuous data. Explore modern streaming data processing techniques and optimize your data architectures for instant insights and real-time decision-making.
Master the complete data science process and discover how to perform advanced Machine Learning model training to accomplish artificial intelligence in Microsoft Fabric. This comprehensive training enables you to develop complete expertise in leveraging Microsoft Fabric’s data science capabilities, including data exploration and preparation, implementation of sophisticated machine learning algorithms, and creation of high-performance AI solutions to solve complex business problems. Explore modern data science techniques, optimize your ML models, and transform your data into actionable predictive insights for strategic decision-making.
The “Secure Azure services and workloads with Microsoft Defender for Cloud regulatory compliance controls” course focuses on implementing regulatory compliance controls using Microsoft Defender for Cloud. Participants will learn to configure Microsoft Defender, mitigate risks in network security, data protection, endpoint security, and posture management. It requires familiarity with Azure IaaS/PaaS and regulatory compliance standards, providing hands-on experience with tasks such as configuring just-in-time VM access and Log Analytics workspaces. This course prepares learners to manage security in Azure environments.
Gain the skills to use Microsoft Purview to improve your data security in Microsoft 365. In this training, you learn how to create sensitive information types, create sensitivity labels, and use auto-labeling policies based on these labels. You also learn how to set up DLP (Data Loss Prevention) policies to safeguard your organization’s data.
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