Designing Microsoft Azure Infrastructure Solutions Training (AZ 305)

Design enterprise-grade Azure solutions with security, scalability, and performance at the core

ABOUT THE PROGRAM

AZ-305 is an advanced-level course for professionals aiming to become Azure Solutions Architects. It focuses on designing end-to-end cloud and hybrid solutions based on business requirements using Microsoft Azure services.

This course emphasizes architectural decision-making, best practices, and real-world implementation scenarios.

Designing Microsoft Azure Infrastructure Solutions Training (AZ-305) Enquiry

 

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PREREQUISITES

  • Strong Azure administration knowledge (AZ-104 recommended)
  • Understanding of networking, security, and virtualization
  • Experience with IT infrastructure or cloud environments

TARGET AUDIENCE

  • Azure Solutions Architects
  • Cloud Architects
  • Senior IT Engineers
  • Infrastructure Architects
  • Technical Consultants

WHAT WILL YOU LEARN?

  • Design end-to-end Azure solutions
  • Architect secure and scalable systems
  • Implement governance and compliance
  • Design networking and hybrid connectivity
  • Plan disaster recovery and high availability
  • Optimize cloud cost and performance

PROGRAM OVERVIEW

This course equips learners with the ability to design secure, scalable, and reliable Azure solutions. It covers identity, governance, networking, compute, storage, data platforms, monitoring, and business continuity.

Participants will work on real-world architecture scenarios and learn how to translate business needs into technical solutions.


PROGRAM CONTENT

Module 1: Design Identity, Governance, and Monitoring Solutions

Topics Covered:

  • Microsoft Entra ID design
  • Role-Based Access Control (RBAC)
  • Azure Policy and governance
  • Monitoring with Azure Monitor

Lab:

  • Design identity architecture for enterprise
  • Implement RBAC and governance policies
  • Configure monitoring and alerts

Outcome:
Design secure identity and governance frameworks.


Module 2: Design Compute Solutions

Topics Covered:

  • Virtual Machines and scale sets
  • App Services and serverless computing
  • Azure Kubernetes Service (AKS)

Lab:

  • Choose appropriate compute services
  • Design scalable compute architecture
  • Deploy application workloads

Outcome:
Select optimal compute solutions for workloads.


Module 3: Design Storage Solutions

Topics Covered:

  • Azure Storage services
  • Data redundancy and replication
  • Storage security and lifecycle

Lab:

  • Design storage strategy
  • Configure replication and access control
  • Implement lifecycle policies

Outcome:
Build scalable and cost-efficient storage solutions.


Module 4: Design Data Platform Solutions

Topics Covered:

  • Azure SQL Database and Managed Instance
  • Cosmos DB
  • Data analytics solutions

Lab:

  • Select appropriate database solution
  • Design high-availability data platform
  • Integrate analytics services

Outcome:
Design modern data platforms.


Module 5: Design Networking Solutions

Topics Covered:

  • Virtual Networks and subnets
  • Hybrid connectivity (VPN, ExpressRoute)
  • Load balancing and traffic routing

Lab:

  • Design hub-and-spoke architecture
  • Configure hybrid network
  • Implement load balancing

Outcome:
Create secure and high-performance networks.


Module 6: Design Security Solutions

Topics Covered:

  • Microsoft Defender for Cloud
  • Key Vault
  • Zero Trust architecture

Lab:

  • Implement security controls
  • Secure secrets using Key Vault
  • Apply Zero Trust principles

Outcome:
Design robust security architectures.


Module 7: Design Business Continuity Solutions

Topics Covered:

  • Backup and recovery
  • Disaster recovery strategies
  • High availability design

Lab:

  • Design backup strategy
  • Configure disaster recovery
  • Test failover scenarios

Outcome:
Ensure resilience and availability.


Module 8: Design Migration and Cost Optimization

Topics Covered:

  • Azure Migrate
  • Migration strategies
  • Cost optimization techniques

Lab:

  • Plan migration from on-prem to Azure
  • Estimate and optimize costs
  • Design cost-efficient architecture

Outcome:
Plan and execute efficient cloud migration.