Generative artificial intelligence (AI) is becoming increasingly functional and accessible, with AI agents being a key component of this evolution. This comprehensive training helps you understand AI agents, including when to use them and how to develop them using the Azure AI Foundry Agent service and the Semantic Kernel agent framework. After completing this learning path, you will have the essential skills to develop sophisticated AI agents on Azure.
This three-day AZ-120 training is designed for IT professionals experienced with SAP solutions who want to leverage Azure for SAP workloads. The course covers the planning, configuration, and optimization of SAP environments in Azure—including virtual machines, virtual networks, storage accounts, and Microsoft Entra ID. Participants will also explore backup strategies, disaster recovery, and comprehensive monitoring for SAP systems on Azure. Through hands-on labs with Azure Center for SAP solutions, you’ll master key concepts, real-world scenarios, and step-by-step procedures to ensure successful SAP deployments in the Microsoft cloud.
This comprehensive training enables system administrators to master the deployment and administration of Linux virtual machines in Azure. Participants will learn to create, configure, and manage Linux VMs, optimize performance, and implement high-availability solutions. The course also covers virtual machine security, administration task automation, and maintenance best practices in an Azure cloud environment.
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.
During this training, participants will identify and describe key data concepts such as relational data, non-relational data, Big Data, and analytics, and explore the implementation of this technology with Microsoft Azure. They will delve into the roles, tasks, and responsibilities in the data world. Participants will explore relational data offerings, provisioning, and deployment of relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will investigate non-relational data offerings, provisioning, and deployment of non-relational databases, and non-relational data stores with Microsoft Azure. Participants will explore processing options available for creating data analytics solutions in Azure, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. They will also learn about Power BI, including its building blocks and how they interact.
This course provides comprehensive preparation for the DP-900: Microsoft Azure Data Fundamentals exam, leading to the Microsoft Certified: Azure Data Fundamentals certification.
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.
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.
Master the implementation of GitHub Actions and the configuration of Azure Load Testing to automate performance testing of application deployments.
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.
Master the acceleration of application development using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment.
This learning path offers a strategic guide for designing and implementing platform engineering in modern organizations. It explores fundamental principles, strategic alignment with business objectives, and practical aspects of creating scalable, secure, and sustainable platforms. By mastering this path, learners will develop the knowledge and skills necessary to optimize developer productivity, ensure operational excellence, and foster continuous innovation.
This course provides a comprehensive introduction to GitHub fundamentals, offering participants an in-depth understanding of core GitHub capabilities through practical, hands-on exercises conducted entirely within a GitHub repository environment. Participants will master essential best practices for creating, deploying, and managing secure repositories on the GitHub platform.
This is a course providing comprehensive preparation for the GH-100: GitHub Administration exam to obtain the certification.
Agentic AI plays a crucial role in accelerating and improving the reliability of modern software development workflows when properly integrated into the SDLC. It enables the automation and orchestration of tasks (analysis, generation, modification, and validation) while producing inspectable artifacts (plans, logs, pull requests, flow results) to maintain control, traceability, and quality. By using GitHub as a reference system and control plane, your team can monitor autonomous behavior, manage permissions and execution environments, and implement guardrails and accountability mechanisms to balance velocity, security, and compliance.
This course provides comprehensive preparation for the GH-600 Agentic AI Systems Development exam for the GitHub Certified: Agentic AI Developer certification.
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.
GitHub Advanced Security (GHAS) serves as a cornerstone for strengthening the security framework of software development projects within the GitHub environment. It delivers a comprehensive suite of security tools and capabilities specifically engineered to detect and remediate security vulnerabilities across the entire development lifecycle. Through seamless integration of security protocols directly into development workflows with GHAS, development teams can produce more robust and trustworthy software solutions. This course will examine strategic approaches to leveraging GHAS for optimal security effectiveness and provide deep insights into GHAS functionality within the broader security landscape.
This is a course providing comprehensive preparation for the GH-500: GitHub Advanced Security exam to obtain the certification.
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.
This course is designed for students who want to use GitHub to help developers and DevOps engineers quickly build and deploy applications. Additionally, students will learn which GitHub Actions features are available for their enterprise instance and how to use them.
This is a course providing comprehensive preparation for the GH-200: GitHub Actions exam to obtain the certification.
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.
This comprehensive training enables data professionals to master Machine Learning implementation with Azure Databricks. Participants will learn to develop, deploy, and manage ML models using Databricks’ advanced features, including MLflow for experiment tracking and model management. The course also covers ML workflow optimization, training pipeline automation, and best practices for large-scale model deployment in an enterprise environment.
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