This course will help you become an Azure cloud architect, who is responsible for solving complex business problems in the cloud.

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This hands-on course empowers you with the skills to design, deploy, and manage robust cloud solutions on Microsoft Azure. Azure offers various services enabling organizations to scale up and accelerate their digital transformation. 

In this course, you’ll explore the core principles of cloud architecture and learn industry best practices. You’ll be introduced to cloud computing basics, followed by topics like SLAs, databases, app services, and VMs. Next, you’ll learn about various automation services like Azure WebJobs, Azure Service Bus, and Azure Queue Storage. Cost management and monitoring tools like Azure Log Analytics, Azure Dashboards, Application Insights, and Azure Monitor are also covered. The course discusses securing the data and VMs using tools and services like Microsoft Entra ID, IAM, and administrative units. 

After completing this course, you can complete Microsoft’s Azure Solutions Architect Expert certification and be ready for cloud and IT management and consulting roles.

Dhruv Kinger

SWE at ThrivePass || Project Reviewer, Mentor & Tutor at Udacity

Azure Cloud Solutions Architect Program

Microsoft Azure services have good offerings like reliability and scalability. With these offerings, we can manage costs as well. So, let’s explore cost-cutting and monitoring, Azure Total Cost of Ownership (TCO) Calculator, and Azure Pricing calculator in detail.

Learn about cost-refining principles and how to achieve them.

Introduction to the Cloud Architect Program

Cloud Capabilities

Assessment 1: Cloud Concepts

Creating a Simple Web App with a Database and Storage Account

Virtual Machine Types

Automation

Assessment 2: Virtual Machines and Azure Automations

Cost Refining

Monitoring Efficiency

Assessment 3: Cost Refining and Monitoring Efficiency

Integrate Application Insights to the Azure Web App

Security Basics

Protection and Monitoring

Assessment 4: Protection and Monitoring

Conclusion

Introduction to Cost Refining