Microsoft Cloud Workshops
Microsoft Cloud Workshop (MCW) is a hands-on community development experience that fosters cloud learning and adoption and consists of training guides for deploying advanced Azure workloads on the Microsoft Cloud Platform.
Microsoft Azure Training & Certtification
Master the skills needed to design solutions that run on Azure. A Microsoft Certified Azure Solutions Architect must have expertise in compute, network, storage, and security.
A Microsoft Certified Azure Administrator is responsible for implementing, monitoring, and maintaining Microsoft Azure solutions, including major services related to compute, storage, network, and security.
Responsibilities for this role include advising stakeholders and translating business requirements into secure, scalable, and reliable cloud solutions. An Azure Solution Architect partners with cloud administrators, cloud DBAs, and clients to implement solutions.
Microsoft Azure Administrator associate learn how to implement, monitor and maintain Microsoft Azure solutions including major services related to compute, storage, network and security.
The Microsoft certified Azure Database Administrator associate implements and manages the operational aspects of cloud-native and hybrid data platform solutions built with Microsoft SQL Server and Microsoft Azure Data Services. The Azure Database Administrator uses a variety of methods and tools to perform day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.
Microsoft certified Azure DevOps Engineer Expert professionals combine people, process, and technologies to continuously deliver valuable products and services that meet end user needs and business objectives. Candidates for the DevOps Engineer Expert certification should have subject matter expertise working with people, processes, and technologies to continuously deliver business value.
Responsibilities for this role include designing and implementing strategies for collaboration, code, infrastructure, source control, security, compliance, continuous integration, testing, delivery, monitoring, and feedback.
Azure Developer associates explore ways to design, build, test and maintain cloud solutions, such as applications and services.
Microsoft azure data scientist and azure data engineers implement and run machine learning workloads on Azure using azure machine learning service and design and implement the management, monitoring, security and privacy of data using the full stack of Azure data services.
Candidates for the Microsoft Certified Azure AI Engineer Associate certification should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.Responsibilities for this role include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.
Azure Security Engineer associates often serve as part of a larger team dedicated to cloud-based management and security or hybrid environments as part of an end-to-end infrastructure. Candidates for the Azure Security Engineer certification should have subject matter expertise implementing security controls and threat protection, managing identity and access, and protecting data, applications, and networks in cloud and hybrid environments as part of an end-to-end infrastructure.
Microsoft Azure IoT Developers obtain the knowledge on how to implement the Azure services that form an IoT solution, including data analysis, data processing, data storage options and platform-as-a-service option.
Microsoft certified Azure Data Engineer associates design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs whereas Microsoft certified Azure Data Scientist associates applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service.
Microsoft Azure is the cloud for modern business. Expand your Azure development skills to meet future business needs with the Microsoft Certified Azure Developer certification.
Gain unparalleled productivity with end-to-end development and management tools with Microsoft Azure. Quickly turn ideas into solutions to get up and running fast—just bring your code. Build applications with the language of your choice, including Node.js, Java, .NET, and use what you already know and love.
Work with best-in-class development tools for PC or Mac, such as Visual Studio and Visual Studio Code, to increase your productivity with features that let you focus on what matters most: writing great code.
Get mobile apps into the hands of users faster by streamlining the mobile development lifecycle with Visual Studio App Center, including automated builds and testing for cross-platform, hybrid, and native apps on iOS and Android.
Go beyond connecting your datacenter to the cloud. Take advantage of the broadest set of hybrid capabilities and deliver true hybrid consistency in your applications, data, identity, security, and management across on-premises and cloud environments.
Create a truly consistent experience across your hybrid cloud using comprehensive Azure cloud capabilities. Reduce complexity and risk with the platform, tools, and services designed to work together across your on-premises and cloud environments. Build and deploy your applications consistently, seamlessly manage data, enable anywhere access with single sign-on, and deliver integrated security and management across on-premises and the cloud.
Bring powerful Azure benefits to your datacenter with Azure Stack. Implement security and provide cloud platform capabilities to on-premises azure infrastructure by running Azure services in your datacenter to build, test, and deploy applications the same way anywhere across your hybrid environment. Address latency and connectivity requirements for edge and disconnected solutions. Develop applications once and deploy in Azure or on-premises to meet regulatory and policy requirements. Update and extend legacy applications with modern Azure services on-premises.
Use Azure DevOps to enable agile development and consistent software delivery across your hybrid cloud by adopting the same continuous integration and continuous delivery pipeline between on-premises and the cloud. With Azure DevOps Server on-premises and Azure DevOps services, you get the same full suite of DevOps services and capabilities across your hybrid cloud. The result: better products, delivered faster, to happier customers.
Take advantage of a comprehensive set of services, infrastructure, and tools to build AI-powered experiences. Build bots that naturally interact with users and built-in advanced analytics tools to make faster predictions.
Use your existing skills and the tools you love to build any application—using any data source, operating system, and device. Azure supports a range of deployment options, popular stacks and languages, and a comprehensive set of data engines, such as PostgreSQL, MySQL, MongoDB, Hadoop, and Apache Spark.
Use a rich set of Azure data and AI services such as Azure Databricks, azure exam, Azure Cosmos DB, Azure Cognitive Services, and Azure Bot Service to enable new experiences in your apps for human-like intelligence.
Microsoft leads the industry in establishing clear security and privacy requirements and then consistently meeting these requirements. Azure meets a broad set of international and industry-specific compliance standards, such as General Data Protection Regulation (GDPR), ISO 27001, HIPAA, FedRAMP, SOC 1 and SOC 2, as well as country-specific standards, including Australia IRAP, UK G-Cloud, and Singapore MTCS. Rigorous third-party audits, such as those done by the British Standards Institute, verify Azure's adherence to the strict security controls these standards mandate.