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Intermediate Azure for Architects

Course Summary

The Intermediate Azure for Architects course is designed for professionals who advise stakeholders and transform business requirements into scalable, reliable, and secure cloud solutions.

The course begins by introducing how to design security in Azure. Next, it discusses strategies for data platform solutions, and designing Azure migrations, and disaster recovery. The course concludes by exploring how to strategize computing, networking, storage and monitoring solutions in Azure as well as workload modernization and Azure best practices.

Before attending this course, students should take the Introduction to Azure for Architects course or be familiar with all of the topics listed here: Introduction to Azure for Architects

This course covers everything a cloud solutions architect needs to know to plan and design solutions for the Microsoft Azure cloud platform. This course focuses on how to modernize existing workloads and make them cloud-able in true sense.
Engineers looking to plan and design solutions on the Microsoft Azure cloud platform.
Software Developer - System Administrator - Web Developer
Skill Level
3 Days
Related Technologies
Cloud Computing Training | Azure


Productivity Objectives
  • Gather customer requirements and map them to the right Azure services
  • Design and plan for security, identity, scalability, data, monitoring, auditing, BC/DR and integration
  • Design cloud physical architecture for Azure and modernize workloads based on Azure best practices

What You'll Learn:

In the Intermediate Azure for Architects training course, you'll learn:
  • Planning and designing for security in Azure
    • Plan for Identity and access management
    • Plan for authentication and authorization approaches
    • Plan for end-user self-service capabilities
    • Plan for Identity protection, security and conditional access including multi factor authentication and single SignOn
    • Define access control based on role, rule and responsibility
    • Plan for managing the security posture on the entire Azure environment
    • Plan and design for metric based alert notifications triggered on specific events
  • Strategizing data platform solution on Azure
    • Identify the requirement for managed or unmanaged data options based on workload compatibility
    • Choose between relational and non-relational databases
    • Plan for database performance using appropriate caching techniques
    • Plan for data availability, scalability, global distribution, consistency, backups, retention and warehousing
    • Benchmark the right Database Transaction Units (DTUs) based on the capacity planning done previously
    • Design for data extraction, transformation and loading (ETL) on Azure using the right tools
    • Secure Data at Rest and Data in Motion
    • Design Data Loss Prevention (DLP) policies
    • Plan and design for metric based alert notifications triggered on specific events
  • Designing Azure migrations, business continuity and disaster recovery
    • Design migration roadmap based on cloud assessment and discovery
    • Plan for a Disaster Recovery site on Azure (Azure to Azure/On-prem to Azure)
    • Recommend data archival strategy based on the business compliance requirements
    • Identify the right data archival pricing tiers and identify SLAs
  • Strategizing compute, network, storage and monitoring solutions
    • Recommend appropriate storage solutions and management tools
    • Design secure and scalable network topologies on Azure
    • Recommend network management tools
    • Recommend the right services for application and infrastructure level monitoring
  • Managing workload modernization/refactoring based on Azure best practices
    • Understand how to work with development teams to identify the scope for application modernization
    • Design for auto-scaling
    • Design for third party integrations - Cloud and On-Premise
    • Design for event-based triggers, asynchronous communication(messaging), API integrations
    • Recommend policies for internal and external consumption of APIs
    • Design and implement API management system
    • Recommend scope for serverless computing to save costs
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”


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