Azure Architect Technologies

In this 5 day accelerated or Bootcamp format AZ-300 Azure Architect Technologies class students will learn the different technologies used by Azure Architect’s.

Target Audience

Successful Cloud Solutions Architects begin this role with practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.


Azure Fundamentals – AZ-900

Other Prerequisites

Students will need practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.

Course Outline

1 – Managing Azure Subscriptions and Resources

2 – Implementing and Managing Storage

3 – Deploying and Managing Virtual Machines (VMs)
  • Create Virtual Machines (VM)s within the Azure Portal
  • Create Virtual Machines (VM)s using Azure PowerShell
  • Create Virtual Machines (VM)s using ARM templates
  • Deploy Linux Virtual Machines (VM)s
  • Monitor Virtual Machines (VM)s
4 – Configuring and Managing Virtual Networks
  • Network routing using routing tables and algorithms
  • Inter-site connectivity using VNet-to-VNet connections and VPNs
  • Virtual network peering for regional and global considerations
  • Gateway transit
5 – Managing Identities
  • Role-Based Access Control (RBAC)built-in roles
  • Self-Service Password Reset (SSPR)authentication methods for password reset
6 – Evaluating and Performing Server Migration to Azure

7 – Implementing and Managing Application Services
  • Deploying Web Apps
  • Managing Web Apps
  • App Service Security
  • Server-less Computing Concepts
  • Managing Event Grid
  • Managing Service Bus
  • Managing Logic App
8 – Implementing Advanced Virtual Networking
  • Azure Load Balancer
  • Azure Application Gateway
  • Site-to-Site VPN Connections
9 – Securing Identities
  • Azure AD Identity Protection
  • Azure Domains and Tenants
  • Azure Users and Groups
  • Azure Roles
10 – Selecting Computer and Storage Solutions
  • Azure Architecture Center
  • Cloud design patterns
  • Competing consumers pattern
  • Cache-aside pattern
11 – Hybrid Networking
  • Site-to-site connectivity
  • Point-to-site connectivity
  • Combining site-to-site and point-to-site connectivity
  • Virtual network–to–virtual network connectivity
12 – Measuring Throughput and Structure of Data Access
  • DTUs – Azure SQL DatabaseRUs – Azure Cosmos DB
  • Structured and unstructured dataUsing structured data stores
13 – Creating Web Applications using PaaS
  • Using shell commands to create an App Service Web App
  • Creating Background TasksUsing Swagger to document an API
14 – Creating Apps and Services Running on Service Fabric
  • Overview of Azure Service Fabric
  • Creating a reliable service
  • Creating a Reliable Actors appWorking with Reliable collections
15 – Using Azure Kubernetes Service This module focuses on the Azure
  • How to reduce operational overhead
  • Azure Container RegistryAzure Container Instances
16 – Implementing Authentication
  • Implementing authentication in applications (certificates, Azure AD, Azure AD Connect, token-based)
  • Implementing multi-factor authentication Claims-based authorization Role-based access control (RBAC) authorization
17 – Implementing Secure Data
  • End-to-end encryption
  • Implementing Azure confidential computing
  • Implementing SSL and TLS communications
  • Managing cryptographic keys in Azure Key Vault
18 – Developing Long-Running Tasks and Distributed Transactions
  • Implementing large-scale, parallel, and highperformance apps using batches
  • HPC using Microsoft Azure Virtual MachinesImplementing resilient apps by using queues
19 – Configuring a Message-Based Integration Architecture
  • Configure an app or service to send emails
  • Configure an event publish and subscribe model
  • Configure the Azure Relay service
  • Configure apps and services with Microsoft Graph
20 – Developing for Asynchronous Processing
  • Implement parallelism, multithreading, and processing
  • Implement Azure Functions and Azure Logic Apps
  • Implement interfaces for storage or data access
  • Implement appropriate asynchronous computing models
  • Implement auto-scaling rules and patterns
21 – Developing for Autoscaling
  • Implementing auto-scaling rules and patterns
  • Implementing code that addresses singleton application instancesImplementing code that addresses a transient state
22 – Developing Azure Cognitive Services Solutions
  • Developing Solutions using Computer Vision
  • Developing solutions using Bing Web Search
  • Developing solutions using Custom Speech Service
  • Developing solutions using QnA Maker

To Hire a Proven AMS Course Author and or Subject Matter Expert who teaches this class, Call 800-798-3901 Today!

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