courseraIT и технологии

Azure Compute and Application Architecture Solutions

Курс от Whizlabs

Средний≈ 9.4 чАнглийский

О курсе

"Azure Compute Solutions introduces learners to core compute services in Azure. This is the third course in the Exam Prep AZ-305: Microsoft Certified Azure Solutions Architect Expert specialization. The course covers Azure Virtual Machines, Azure Container Apps, ACI, AKS, App Service, App Configuration, Azure Functions, and Azure Batch. Key topics include serverless computing, containerized deployments, and batch processing, with demos on Azure Functions bindings and Batch exception handling. This course is structured into two modules, each containing Lessons and Video Lectures. Learners will engage with approximately 5:00-6:30 hours of video content, covering both theoretical concepts and hands-on practice. Each module is supplemented with quizzes to assess learners' understanding and reinforce key concepts. Course Modules: Module 1: Building Scalable Solutions with Azure Compute and Batch Processing Module 2: Azure Application Architecture Solutions By the end of this course, a learner will be able to: - Describe and deploy key Azure compute services such as Virtual Machines, Containers, and App Services. - Implement serverless solutions using Azure Functions with various input/output bindings. - Utilize Azure Batch for high-scale parallel and batch processing with robust error handling. - Design messaging architectures using Azure Service Bus and Queue Storage for decoupled communication. - Implement event-driven solutions with Azure Event Grid, Event Hubs, and Stream Analytics. - Recommend and integrate Azure API and messaging solutions to build scalable and resilient cloud applications. This course is intended for cloud developers and solution architects looking to build and deploy scalable, event-driven, and compute-intensive applications on Azure. It is particularly valuable for individuals preparing for the Microsoft Certified Azure Solutions Architect Expert certification or those working on large-scale cloud-native architectures.