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Microsoft Azure Training

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Microsoft Azure Fundamentals AZ900 Course Outline

Within this Microsoft Azure Fundamentals AZ900 Training Course, you will learn the following modules:

Module 1: Cloud Concepts

  • Cloud Computing
    • What is Cloud Computing?
    • Public Cloud
    • Private Cloud
    • Hybrid Cloud
    • Cloud Model Comparison
    • Compare CapEx Vs. OpEx
    • Consumption-Based Model
  • Cloud Benefits
    • Cloud Benefits
  • Cloud Services
    • Infrastructure as a Service (IaaS)
    • Platform as a Service (PaaS)
    • Software as a Service (SaaS)
    • Cloud Service Comparison
    • Shared Responsibility Model
    • Serverless Computing

Module 2: Azure Architecture and Services

  • Azure Architectural Components
    • Regions and Region Pairs
    • Availability Zones
    • Azure Sovereign Regions
    • Azure Resources
    • Resource Groups
    • Azure Subscriptions
    • Management Groups
  • Compute and Networking
    • Azure Compute Services
    • Azure Virtual Machines
    • VM Scale Sets
    • VM Availability Sets
    • Azure Virtual Desktop
    • Azure Container Services
    • Azure Functions
    • Comparing Azure Compute Options
    • Azure App Services
    • Azure Networking Services
    • Azure DNS
  • Storage
    • Storage Accounts
    • Storage Redundancy
    • Azure Storage Services
    • Storage Service Public Endpoints
    • Azure Storage Access Tiers
    • Azure Migrate
    • Azure Data Box
    • File Management Options
  • Identity, Access, and Security
    • Microsoft Entra ID
    • Microsoft Entra Domain Services
    • Compare Authentication and Authorisation
    • Multi-Factor Authentication
    • Microsoft Entra External ID B2B
    • Azure AD External Identities B2C
    • Conditional Access
    • Role-Based Access Control
    • Zero Trust
    • Defense in Depth
    • Microsoft Defender for Cloud

Module 3: Management and Governance

  • Cost Management
    • Factors Affecting Costs
    • Azure Marketplace
    • Pricing Calculator
    • Total Cost of Ownership Calculator
    • Azure Cost Management
  • Governance and Compliance
    • Azure Policy
    • Resource Locks
    • Service Trust portal
    • Microsoft Purview
  • Management and Deployment Tools
    • Tools for interacting with Azure
    • Azure Arc
    • Azure Resource Manager (ARM)
    • Infrastructure as Code
  • Azure Monitoring Tools
    • Azure Advisor
    • Azure Service Health
    • Azure Monitor

Show moredown

Who should attend this Microsoft Azure Fundamentals AZ900 Course?

The Microsoft Azure Fundamentals (AZ900) Course is designed to introduce the foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. This course can be beneficial for various professionals, including:

  • Developers
  • System Administrators
  • Network Engineers
  • Solution Architects
  • Sales and Marketing Professionals
  • IT Managers and Executives
  • Compliance Officers

Prerequisites of the Microsoft Azure Fundamentals AZ900 Course

There are no prerequisites required for the Microsoft Azure Fundamentals AZ900 Course. However, it is beneficial to have a basic knowledge about IT architecture.

Microsoft Azure Fundamentals AZ900 Course Overview

Microsoft Azure is a cloud computing platform provided by Microsoft, offering a range of services and tools for building, deploying, and managing applications and infrastructure in the cloud. It is important to provide flexible and scalable solutions to meet the dynamic needs of businesses. A detailed understanding of this course helps individuals to equip themselves with in-demand skills in Azure administration, development, and architecture. This training enables organisations to leverage the power of cloud technology to enhance their scalability, flexibility, and efficiency while reducing infrastructure costs. Pursuing this course helps individuals gain valuable expertise in cloud computing, enhance their professional profile, and open new career opportunities in the rapidly growing field of cloud technology.

The Knowledge Academy’s 1-day Microsoft Azure Fundamentals AZ900 Training course provides delegates with in-depth knowledge and practical skills to effectively utilise the Azure platform. During this training, they will learn how to deploy and manage virtual machines, create and manage databases, establish secure networking environments, and implement identity and access management. Candidates will also learn to monitor and optimise their Azure resources and effectively manage costs. This training will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates gain a complete understanding of Microsoft Azure's key concepts.

Course Objectives

  • To gain an understanding of Microsoft Azure and its core components
  • To understand the various cloud models and their benefits and considerations
  • To explore and utilise the core Azure services and architectural components
  • To learn about different Azure solutions and their applications in real-world scenarios
  • To gain knowledge of security tools, features, and network connectivity in Azure
  • To learn how to manage identity, governance, privacy, and compliance in Azure

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What’s included in this Microsoft Azure Fundamentals AZ900 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Please note the exam is not included in the cost of this course.

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

This course and exam has been retired and replaced with Microsoft Azure Administration AZ104

Microsoft Azure Administration Course Outline | M-AZ103

Module 1: Azure Administration

In this module, delegates will learn about Azure Administrator uses to manage their infrastructure. This module includes Azure Portal, Azure PowerShell, Cloud Shell, CLI, resource manager, and resource manager templates.

Lesson

  • Resource Groups
  • Azure PowerShell and CLI
  • Resource Manager
  • ARM Templates

Module 2: Virtual Machines

This module describes Azure virtual machines including planning, creating, availability and extensions.

Lesson

  • Virtual Machine Planning
  • Creating Virtual Machines
  • Virtual Machine Availability
  • Virtual Machine Extensions
  • Lab: Deploy and Manage Virtual Machines

Module 3: Azure Storage

In this module, delegates will learn about basic storage features, including storage accounts, blob storage, Azure files, and storage security.

Lesson

  • Storage Accounts
  • Azure Blobs
  • Azure Files
  • Storage Security
  • Lab: Deploy and Manage Virtual Machines

Module 4: Virtual Networking

In this module, delegates will gain knowledge of virtual networks, IP addressing, Azure DNS, and network security groups.

Lesson

  • Virtual Networks
  • IP Addressing
  • Azure DNS
  • Network Security Groups
  • Lab: Implement and Manage Virtual Networking

Module 5: Data Protection

This data protection module describes data replication strategies, backing up files and folders, and virtual machine backups.

Lesson

  • Data Replication
  • File and Folder Backups
  • Virtual Machine Backups
  • Lab: Azure Site Recovery Between Regions

Module 6: Intersite Connectivity

In this module, delegates will learn about intersite connectivity features, including VNet Peering, VNet-to-VNet connections, Site-to-Site Connections, and ExpressRoute.

Lesson

  • Service Endpoints and Network Routing
  • VNet-to-VNet Connections
  • ExpressRoute
  • Lab: VNet Peering and Service Chaining

Module 7: Network Traffic Management

This module explains network traffic strategies, including service endpoints, network routing, Azure Load Balancer, and Azure Traffic Manager.

Lesson

  • Service Endpoints and Network Routing
  • Azure Load Balancer
  • Azure Traffic Manager
  • Lab: Load Balancer and Traffic Manager

Module 8: Subscriptions and Accounts

In this module, delegates will gain knowledge about managing subscriptions and accounts, including role-based access control, users and groups, Azure policy, and billing.

Lesson

  • Subscriptions and Accounts
  • Role-Based Access Control
  • Users and Groups
  • Azure Policy
  • Billing
  • Lab: Governance and Compliance

Module 9: Azure Active Directory

In this module, delegates will learn about Azure Active Directory (AD), including Azure AD Connect and Azure AD Join.

Lesson

  • Azure Active Directory
  • Azure AD Connect
  • Azure AD Join
  • Lab: Implement Directory Synchronisation

Module 10: Securing Identities

This module explains how to secure identities, including multi-factor authentication, self-service password reset, Azure AD identity protection.

Lesson

  • Multi-Factor Authentication
  • Azure AD Identity Protection
  • Self-Service Password Reset
  • Lab: Azure AD Identity Protection and Self-Service Password Reset

Module 11: Sharing Data

In this module, delegates will learn about how to share data using import and export service, content delivery network, data box, and file sync.

Lesson

  • Import and Export Service
  • Data Box
  • Content Delivery Network
  • File Sync
  • Lab: File Sync

Module 12: Monitoring

This module explains monitoring Azure infrastructure, alerting, log analytics, and network watcher.

Lesson

  • Azure Monitor
  • Azure Alerts
  • Log Analytics
  • Network Watcher
  • Lab: File Sync

Show moredown

This course and exam has been retired and replaced with Microsoft Azure Administration AZ104

 

Who should attend this Microsoft Azure Administrator MAZ103 Course?

The Microsoft Azure Administrator (MAZ103) Course is tailored for IT professionals looking to deepen their understanding and skillset in Azure administration. This course can be beneficial for various professionals, including:

  • System Administrators
  • Azure Cloud Administrators
  • Infrastructure Engineers focusing on Azure deployments
  • IT Technical Support Specialists
  • DevOps Engineers
  • Network Engineers
  • Technical Managers

Prerequisites of the Microsoft Azure Administrator MAZ103 Course

There are no prerequisites required for the Microsoft Azure Administrator MAZ103.

 

Microsoft Azure Administration Course Overview | M-AZ103

This course and exam has been retired and replaced with Microsoft Azure Administration AZ104

In this course, delegates will gain knowledge of how to manage their Azure subscriptions, create and scale virtual machines. They will gain an understanding of how to implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities, and monitor your solution.

In this 5-Day course, delegates will learn about basic storage features, including storage accounts, blob storage, Azure files, and storage security. They will also learn about data replication strategies, backing up files and folders, and virtual machine backups. This course explains multi-factor authentication, self-service password reset, Azure AD identity protection, Azure Active Directory (AD), and Azure AD Join.

This course will prepare IT professionals for the Microsoft Azure Administrator Associate Certification by passing exam AZ-103.

Show moredown

This course and exam has been retired and replaced with Microsoft Azure Administration AZ104

 

What’s included in this Microsoft Azure Administrator MAZ103 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Please note that the exam is not included in the cost of this Azure Training Course

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

Developing Solutions for Microsoft Azure AZ204 Course Outline

Module 1: Explore Azure App Service                          

  • Introduction
  • Examine Azure App Service
  • Examine Azure App Service Plans
  • Deploy to App Service
  • Explore Authentication and Authorisation in App Service
  • Discover App Service Networking Features
  • Exercise: Create a Static HTML Web App by Using Azure Cloud Shell

Module 2: Configure Web App Settings

  • Introduction
  • Configure Application Settings
  • Configure General Settings
  • Configure Path Mappings
  • Enable Diagnostic Logging
  • Configure Security Certificates

Module 3: Scale Apps in Azure App Service

  • Introduction
  • Examine Autoscale Factors
  • Identify Autoscale Factors
  • Enable Autoscale in App Service
  • Explore Autoscale Best Practices

Module 4: Explore Azure App Service Deployment Slots

  • Introduction
  • Explore Staging Environments
  • Examine Slot Swapping
  • Swap Deployment Slots
  • Route Traffic in App Service

Module 5: Explore Azure Functions

  • Introduction
  • Discover Azure Functions
  • Compare Azure Functions Hosting Options
  • Scale Azure Functions

Module 6: Develop Azure Functions

  • Introduction
  • Explore Azure Functions Development
  • Create Triggers and Bindings
  • Connect Functions to Azure Services
  • Exercise: Create an Azure Function by Using Visual Studio Code

Module 7: Explore Azure Blob Storage

  • Introduction
  • Explore Azure Blob Storage
  • Discover Azure Blob Storage Resource Types
  • Explore Azure Storage Security Features
  • Discover Static Website Hosting in Azure Storage

Module 8: Manage the Azure Blob Storage lifecycle

  • Introduction
  • Explore the Azure Blob Storage Lifecycle
  • Discover Blob Storage Lifecycle Policies
  • Implement Blob Storage Lifecycle Policies
  • Rehydrate Blob Data from the Archive Tier

Module 9: Work with Azure Blob Storage

  • Introduction
  • Explore Azure Blob Storage Client Library
  • Create a Client Object
  • Exercise: Create Blob Storage Resources by Using the .NET Client Library
  • Manage Container Properties and Metadata by Using .NET
  • Set and Retrieve Properties and Metadata for Blob Resources by Using REST

Module 10: Explore Azure Cosmos DB

  • Introduction
  • Identify Key Benefits of Azure Cosmos DB
  • Explore the Resource Hierarchy
  • Explore Consistency Levels
  • Choose the Right Consistency Level
  • Explore Supported APIs
  • Discover Request Units
  • Exercise: Create Azure Cosmos DB Resources by Using the Azure Portal

Module 11: Work with Azure Cosmos DB

  • Introduction
  • Explore Microsoft .NET SDK V3 for Azure Cosmos DB
  • Exercise: Create Resources by Using the Microsoft .NET SDK V3
  • Create Stored Procedures
  • Create Triggers and User-Defined Functions
  • Explore Change Feed in Azure Cosmos DB

Module 12: Manage Container Images in Azure Container Registry

  • Introduction
  • Discover the Azure Container Registry
  • Explore Storage Capabilities
  • Build and Manage Containers with Tasks
  • Explore Elements of a Docker File
  • Exercise: Build and Run a Container Image by Using Azure Container Registry Tasks

Module 13: Run Container Images in Azure Container Instances

  • Introduction
  • Explore Azure Container Instances
  • Exercise - Deploy a Container Instance by Using the Azure CLI
  • Run Containerised Tasks with Restart Policies
  • Set Environment Variables in Container Instances
  • Mount an Azure File Share in Azure Container Instances

Module 14: Implement Azure Container Apps

  • Introduction
  • Explore Azure Container Apps
  • Exercise - Deploy A Container App
  • Explore Containers in Azure Container Apps
  • Implement Authentication and Authorization in Azure Container Apps
  • Manage Revisions and Secrets in Azure Container Apps
  • Explore Dapr Integration with Azure Container Apps

Module 15: Explore the Microsoft Identity Platform

  • Introduction
  • Explore the Microsoft Identity Platform
  • Explore Service Principals
  • Discover Permissions and Consent
  • Discover Conditional Access

Module 16: Implement Authentication by Using the Microsoft Authentication Library

  • Introduction
  • Explore the Microsoft Authentication Library
  • Initialise Client Applications
  • Exercise - Implement Interactive Authentication by Using MSAL.NET

Module 17: Implement Shared Access Signatures

  • Introduction
  • Discover Shared Access Signatures
  • Choose When to Use Shared Access Signatures
  • Explore Stored Access Policies

Module 18: Explore Microsoft Graph

  • Introduction
  • Discover Microsoft Graph
  • Query Microsoft Graph by Using REST
  • Query Microsoft Graph by Using SDKs
  • Apply Best Practices to Microsoft Graph

Module 19: Implement Azure Key Vault

  • Introduction
  • Explore Azure Key Vault
  • Discover Azure Key Vault Best Practices
  • Authenticate to Azure Key Vault
  • Exercise: Set and Retrieve a Secret from Azure Key Vault by Using Azure CLI

Module 20: Implement Managed Identities

  • Introduction
  • Explore Managed Identities
  • Discover the Managed Identities Authentication Flow
  • Configure Managed Identities
  • Acquire an Access Token

Module 21: Implement Azure App Configuration

  • Introduction
  • Explore the Azure App Configuration Service
  • Create Paired Keys and Values
  • Manage Application Features
  • Secure App Configuration Data

Module 22: Explore API Management

  • Introduction
  • Discover the API Management service
  • Explore API gateways
  • Explore API Management policies
  • Create advanced policies
  • Secure APIs by using subscriptions
  • Secure APIs by using certificates

Module 23: Explore Azure Event Grid

  • Introduction
  • Explore Azure Event Grid
  • Discover Event Schemas
  • Explore Event Delivery Durability
  • Control Access to Events
  • Receive Events by Using Webhooks
  • Filter Events
  • Exercise - Route Custom Events to Web Endpoint by Using Azure CLI

Module 24: Explore Azure Event Hubs

  • Introduction
  • Discover Azure Event Hubs
  • Explore Event Hubs Capture
  • Scale your Processing Application
  • Control Access to Events
  • Perform Common Operations with the Event Hubs Client Library

Module 25: Discover Azure Message Queues

  • Introduction
  • Choose a Message Queue Solution
  • Explore Azure Service Bus
  • Discover Service Bus Queues, Topics, and Subscriptions
  • Explore Service Bus Message Payloads and Serialisation
  • Exercise: Send and Receive Messages from a Service Bus Queue by Using .NET
  • Explore Azure Queue Storage
  • Create and Manage Azure Queue Storage and Messages by Using .NET

Module 26: Monitor App Performance

  • Explore Application Insights
  • Discover Log-Based Metrics
  • Instrument an App for Monitoring
  • Select an Availability Test
  • Troubleshoot App Performance by Using Application Map

Module 27: Develop for Azure Cache for Redis

  • Explore Azure Cache for Redis
  • Configure Azure Cache for Redis
  • Interact with Azure Cache for Redis by using .NET
  • Exercise - Connect an app to Azure Cache for Redis by using .NET Core

Module 28: Develop for Storage on CDNs

  • Explore Azure Content Delivery Networks
  • Control cache behaviour on Azure Content Delivery Networks
  • Interact with Azure Content Delivery Networks by using .NET

 

Show moredown

Who should attend this Developing Solutions for Microsoft Azure AZ204 Course?

The Developing Solutions for Microsoft Azure (AZ204) Course focuses on aspects such as Azure development, solution design, storage solutions, VM configurations, Azure networking, managing security, identity solutions, application services, API integration, and much more. This course can be beneficial for various professionals, including:

  • Azure Developers
  • Application Developers
  • Cloud Solution Architects
  • .NET Developers
  • Software Engineers
  • DevOps Engineers
  • Solutions Design Engineers
  • Backend Developers
  • Integration Specialists

Prerequisites of the Developing Solutions for Microsoft Azure AZ204 Course

The prerequisites required for the Developing Solutions for Microsoft Azure AZ204 are:

  • Consider Microsoft Azure Fundamentals AZ-900 Course if you are new to Azure and cloud computing.
  • Experience with Azure supported programming languages, such as Java, Python, or C#, and with application development frameworks, such as .NET or Spring Boot.
  • Familiarity with Azure DevOps
  • Proficiency in PowerShell command-line interface

Developing Solutions for Microsoft Azure AZ204 Course Overview

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement, and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

 

Show moredown

What’s included in this Developing Solutions for Microsoft Azure AZ204 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Designing and Implementing Microsoft DevOps solutions AZ400 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Introduction to Azure Virtual Networks

  • Introduction
  • Explore Azure Virtual Networks
  • Configure Public IP Services
  • Exercise: Design and Implement a Virtual Network in Azure
  • Design Name Resolution for your Virtual Network
  • Exercise: Configure Domain Name Servers Settings in Azure
  • Enable Cross-Virtual Network Connectivity with Peering
  • Exercise: Connect Two Azure Virtual Networks Using Global Virtual Network Peering
  • Implement Virtual Network Traffic Routing
  • Configure Internet Access with Azure Virtual NAT

Module 2: Design and Implement Hybrid Networking

  • Introduction
  • Design and Implement Azure VPN Gateway
  • Exercise: Create and Configure a Virtual Network Gateway
  • Connect Networks with Site-To-Site VPN Connections
  • Connect Devices to Networks with Point-To-Site VPN Connections
  • Connect Remote Resources by Using Azure Virtual Wans
  • Exercise: Create a Virtual WAN By Using the Azure Portal
  • Create a Network Virtual Appliance (NVA) in a Virtual Hub

Module 3: Design and Implement Azure ExpressRoute

  • Introduction
  • Explore Azure Expressroute
  • Design an Expressroute Deployment
  • Exercise: Configure an Expressroute Gateway
  • Exercise: Provision an Expressroute Circuit
  • Configure Peering for an Expressroute Deployment
  • Connect an Expressroute Circuit to a Virtual Network
  • Connect Geographically Dispersed Networks with Expressroute Global Reach
  • Improve Data Path Performance Between Networks with Expressroute Fastpath
  • Troubleshoot Expressroute Connection Issues

Module 4: Load Balance Non-HTTP(S) Traffic in Azure

  • Introduction
  • Explore Load Balancing
  • Design and Implement Azure Load Balancer Using the Azure Portal
  • Exercise: Create and Configure an Azure Load Balancer
  • Explore Azure Traffic Manager
  • Exercise: Create a Traffic Manager Profile Using the Azure Portal

Module 5: Load Balance HTTP(S) Traffic in Azure

  • Introduction
  • Design Azure Application Gateway
  • Configure Azure Application Gateway
  • Exercise: Deploy Azure Application Gateway
  • Design and Configure Azure Front Door
  • Exercise: Create a Front Door for a Highly Available Web Application

Module 6: Design and Implement Network Security

  • Introduction
  • Get Network Security Recommendations with Microsoft Defender for Cloud
  • Deploy Azure Ddos Protection by Using the Azure Portal
  • Exercise: Configure Ddos Protection on a Virtual Network Using the Azure Portal
  • Deploy Network Security Groups by Using the Azure Portal
  • Design and Implement Azure Firewall
  • Exercise: Deploy and Configure Azure Firewall Using the Azure Portal
  • Secure Your Networks with Azure Firewall Manager
  • Exercise: Secure your Virtual Hub Using Azure Firewall Manager
  • Implement a Web Application Firewall on Azure Front Door

Module 7: Design and Implement Private Access to Azure Services

  • Introduction
  • Explain Virtual Network Service Endpoints
  • Define Private Link Service and Private Endpoint
  • Integrate Private Endpoint with DNS
  • Exercise: Restrict Network Access to Paas Resources with Virtual Network Service Endpoints Using the Azure Portal
  • Exercise: Create an Azure Private Endpoint Using Azure Powershell
  • Integrate your App Service with Azure Virtual Networks

Module 8: Desing and Implement Network Monitoring

  • Introduction
  • Monitor your Networks Using Azure Monitor
  • Exercise: Monitor a Load Balancer Resource Using Azure Monitor
  • Monitor your Networks Using Azure Network Watcher

Show moredown

Who should attend this Designing and Implementing Microsoft DevOps solutions AZ400 Course?

This Designing and Implementing Microsoft DevOps solutions AZ400 Course is designed to introduce professionals to Azure's DevOps solutions. This course can be beneficial for various professionals, including:

  • Data Scientists
  • Azure Data Engineers
  • Data Analysts
  • AI Engineers
  • Cloud Solution Architects
  • Machine Learning Developers
  • Big Data Engineers
  • Research Scientists

Prerequisites of the Designing and Implementing Microsoft DevOps Solutions AZ400 Course

The prerequisites required for the Designing and Implementing Microsoft DevOps Solutions AZ400 Course are:

  • Fundamental knowledge of cloud computing such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
  • Experience with creating and managing Azure resources, such as virtual machines, storage accounts, and databases.
  • Knowledge of Azure CI/CD pipelines is helpful.
  • Experience with at least one Azure supported programming languages like Python, JavaScript or PowerShell.

Designing and Implementing Microsoft DevOps Solutions AZ400 Course Overview

This course provides the knowledge and skills needed to design DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimise feedback mechanisms.

Course objective:

  • Plan for the transformation with shared goals and timelines.
  • Select a project and identify project metrics and Key Performance Indicators (KPI's).
  • Create a team and agile organisational structure.
  • Design a tool integration strategy.
  • Design a license management strategy (e.g., Azure DevOps and GitHub users).
  • Design a strategy for end-to-end traceability from work items to working software.
  • Design an authentication and access strategy.
  • Design a strategy for integrating on-premises and cloud resources.
  • Describe the benefits of using Source Control.
  • Describe Azure Repos and GitHub.
  • Migrate from TFVC to Git.
  • Manage code quality, including technical debt Sonar Cloud, and other tooling solutions.
  • Build organisational knowledge of code quality.
  • Explain how to structure Git repos.
  • Describe Git branching workflows.
  • Leverage pull requests for collaboration and code reviews.
  • Leverage Git hooks for automation.
  • Use Git to foster inner source across the organisation.
  • Explain the role of Azure Pipelines and its components.
  • Configure Agents for use in Azure Pipelines.
  • Explain why continuous integration matters.
  • Implement continuous integration using Azure Pipelines.
  • Design processes to measure end-user satisfaction and analyse user feedback.
  • Design processes to automate application analytics.
  • Manage alerts and reduce meaningless and non-actionable alerts.
  • Carry out blameless retrospectives and create a just culture.
  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure.
  • Implement compliance and security in your application infrastructure.
  • Describe the potential challenges with integrating open-source software.
  • Inspect open-source software packages for security and license compliance.
  • Manage organisational security and compliance policies.
  • Integrate license and vulnerability scans into build and deployment pipelines.
  • Configure pipelines to access package security and license ratings

Show moredown

 

What’s included in this Designing and Implementing Microsoft DevOps solutions AZ400 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Microsoft Azure Security Technologies AZ500 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Secure Azure Solutions with Azure Active Directory

  • Introduction
  • Explore Azure Active Directory Features
  • Self-Managed Active Directory Domain Services, Azure Active Directory, and Managed Azure Active Directory Domain Services
  • Azure AD DS and Self-Managed AD DS
  • Azure AD DS and Azure AD
  • Investigate Roles in Azure AD
  • Azure AD Built-in Roles
  • Deploy Azure AD Domain Services
  • Create and Manage Azure AD Users
  • Manage Users with Azure AD Groups
  • Configure Azure AD Administrative Units
  • Implement Passwordless Authentication
  • Explore Try-This Exercises

Module 2: Implement Hybrid Identity

  • Introduction
  • Deploy Azure AD Connect
  • Explore Authentication Options
  • Configure Password Hash Synchronisation (PHS)
  • Implement Pass-Through Authentication (PTA)
  • Deploy Federation with Azure AD
  • Explore the Authentication Decision Tree
  • Configure Password Writeback

Module 3: Deploy Azure AD identity protection

  • Introduction
  • Explore Azure AD Identity Protection
  • Configure Risk Event Detections
  • Implement User Risk Policy
  • Implement Sign-in Risk Policy
  • Deploy Multifactor Authentication in Azure
  • Explore Multifactor Authentication Settings
  • Enable Multifactor Authentication
  • Implement Azure AD Conditional Access
  • Configure Conditional Access Conditions
  • Implement Access reviews
  • Explore Try-This Exercises

Module 4: Configure Azure AD Privileged Identity Management

  • Introduction
  • Explore the Zero Trust Model
  • Review the Evolution of Identity Management
  • Deploy Azure AD Privileged Identity Management
  • Configure Privileged Identity Management Scope
  • Implement Privileged Identity Management Onboarding
  • Explore Privileged Identity Management Configuration Settings
  • Implement a Privileged Identity Management Workflow
  • Explore Try-This Exercises

Module 5: Design an Enterprise Governance Strategy

  • Introduction
  • Review the Shared Responsibility Model
  • Explore the Azure Cloud Security Advantages
  • Review Azure Hierarchy of Systems
  • Configure Azure Policies
  • Enable Azure Role-Based Access Control (RBAC)
  • Compare and Contrast Azure RBAC vs Azure Policies
  • Configure Built-in Roles
  • Enable Resource Locks
  • Deploy Azure Blueprints
  • Design an Azure Subscription Management Plan
  • Explore Try-This Exercises

Module 6: Implement Perimeter Security

  • Introduction
  • Define Defense in Depth
  • Explore Virtual Network Security
  • Enable Distributed Denial of Service (DDoS) Protection
  • Configure a Distributed Denial of Service Protection Implementation
  • Explore Azure Firewall Features
  • Deploy an Azure Firewall Implementation
  • Configure VPN Forced Tunneling
  • Create User Defined Routes and Network Virtual Appliances
  • Explore Hub and Spoke Topology
  • Perform Try-this Exercises

Module 7: Configure Network Security

  • Introduction
  • Explore Network Security Groups (NSG)
  • Deploy a Network Security Groups Implementation
  • Create Application Security Groups
  • Enable Service Endpoints
  • Configure Service Endpoint Services
  • Deploy Private Links
  • Implement an Azure Application Gateway
  • Deploy a Web Application Firewall
  • Configure and Manage Azure Front Door
  • Review ExpressRoute
  • Perform Try-This Exercises

Module 8: Configure and Manage Host Security

  • Introduction
  • Enable Endpoint Protection
  • Define a Privileged Access Device Strategy
  • Deploy Privileged Access Workstations
  • Create Virtual Machine Templates
  • Enable and Secure Remote Access Management
  • Configure Update Management
  • Deploy Disk Encryption
  • Managed Disk Encryption Options
  • Deploy and Configure Windows Defender
  • Microsoft Cloud Security Benchmark in Defender for Cloud
  • Explore Microsoft Defender for Cloud Recommendations
  • Perform Try-This Exercises

Module 9: Enable Containers Security

  • Introduction
  • Explore Containers
  • Configure Azure Container Instances Security
  • Manage Security for Azure Container Instances (ACI)
  • Explore the Azure Container Registry (ACR)
  • Enable Azure Container Registry Authentication
  • Review Azure Kubernetes Service (AKS)
  • Implement an Azure Kubernetes Service Architecture
  • Configure Azure Kubernetes Service Networking
  • Deploy Azure Kubernetes Service Storage
  • Secure Authentication to Azure Kubernetes Service with Active Directory
  • Manage Access to Azure Kubernetes Service using Azure Role-Based Access Controls

Module 10: Deploy and Secure Azure Key Vault

  • Introduction
  • Explore Azure Key Vault
  • Configure Key Vault Access
  • Review a Secure Key Vault Example
  • Deploy and Manage Key Vault Certificates
  • Create Key Vault Keys
  • Manage Customer Managed Keys
  • Enable Key Vault Secrets
  • Configure Key Rotation
  • Manage Key Vault Safety and Recovery Features
  • Perform Try-This Exercises
  • Explore the Azure Hardware Security Module

Module 11: Configure Application Security Features

  • Introduction
  • Review the Microsoft Identity Platform
  • Explore the Application Model
  • Register an Application with App Registration
  • Configure Microsoft Graph Permissions
  • Enable Managed Identities
  • Azure App Services
  • App Service Environment
  • Azure App Service Plan
  • App Service Environment Networking
  • Availability Zone Support for App Service Environments
  • App Service Environment Certificates
  • Perform Try-This Exercises

Module 12: Implement Storage Security

  • Introduction
  • Define Data Sovereignty
  • Configure Azure Storage Access
  • Deploy Shared Access Signatures
  • Manage Azure AD Storage Authentication
  • Implement Storage Service Encryption
  • Configure Blob Data Retention Policies
  • Configure Azure Files Authentication
  • Enable the Secure Transfer Required Property
  • Perform Try-This Exercises

Module 13: Configure and Manage SQL Database Security

  • Introduction
  • Enable SQL Database Authentication
  • Configure SQL Database Firewalls
  • Enable and Monitor Database Auditing
  • Implement Data Discovery and Classification
  • Microsoft Defender for SQL
  • Vulnerability Assessment for SQL Server
  • SQL Advanced Threat Protection
  • Explore Detection of a Suspicious Event
  • SQL Vulnerability Assessment Express and Classic Configurations
  • Configure Dynamic Data Masking
  • Implement Transparent Data Encryption
  • Deploy Always Encrypted Features
  • Deploy an Always Encrypted Implementation
  • Perform Try-This Exercises

Module 14: Configure and Manage Azure Monitor

  • Introduction
  • Explore Azure Monitor
  • Configure and Monitor Metrics and Logs
  • Enable Log Analytics
  • Manage Connected Sources for Log Analytics
  • Enable Azure Monitor Alerts
  • Configure Properties for Diagnostic Logging
  • Perform Try-This Exercises

Module 15: Enable and Manage Microsoft Defender for Cloud

  • Introduction
  • MITRE Attack Matrix
  • Implement Microsoft Defender for Cloud
  • Security Posture
  • Workload Protections
  • Deploy Microsoft Defender for Cloud
  • Azure Arc
  • Azure Arc Capabilities
  • Microsoft Cloud Security Benchmark
  • Configure Microsoft Defender for Cloud Security Policies
  • View and Edit Security Policies
  • Manage and Implement Microsoft Defender for Cloud Recommendations
  • Explore Secure Score
  • Define Brute Force Attacks
  • Understand Just-in-Time VM Access
  • Implement Just-in-Time VM Access
  • Perform Try-This Exercises

Module 16: Configure and Monitor Microsoft Sentinel

  • Introduction
  • Enable Microsoft Sentinel
  • Configure Data Connections to Sentinel
  • Create Workbooks to Monitor Sentinel Data
  • Enable Rules to Create Incidents
  • Configure Playbooks
  • Hunt and Investigate Potential Breaches

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Who should attend this Microsoft Azure Security Technologies AZ500 Course?

The Microsoft Azure Security Technologies (AZ500) Course will delve into securing Azure resources effectively and professionals will learn to manage identity and access, implement platform protection, manage security operations, and secure data and applications in Azure. This course is helpful for various professionals, including:

  • Azure Security Engineers
  • Cloud Administrators
  • Cloud Architects
  • IT Security Professionals
  • Azure Network Engineers
  • Compliance Managers
  • Infrastructure Architects
  • IT Managers

Prerequisites of the Microsoft Azure Security Technologies AZ500 Course

The prerequisites required for the Microsoft Azure Security Technologies AZ500 are:

  • Experience with Azure security concepts such as identity and access management, data security, and network security.
  • Knowledge of Azure security feature such as Azure Active Directory, Azure Key Vault, and Azure Firewall.
  • Familiarity with Azure security best practices
  • Proficiency in Power Shell command-line interface.

Microsoft Azure Security Technologies AZ500 Course Overview

This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organisation’s security posture, identify and remediate security vulnerabilities. This course includes training in identity and access, platform protection, data and applications, and security operations.

Course objective:

  • Apply enterprise governance strategies such as role-based access control, Azure policies, and resource locks.
  • Establish an Azure AD infrastructure comprising users, groups, and multi-factor authentication.
  • Set up Azure AD Identity Protection, including risk policies, conditional access, and access reviews.
  • Deploy Azure AD Privileged Identity Management, including Azure AD roles and resources.
  • Execute Azure AD Connect, including authentication methods and synchronization with on-premises directories.
  • Enforce perimeter security strategies, including Azure Firewall.
  • Carry out network security strategies, including Network and Application Security Groups.
  • Institute host security strategies, including endpoint protection, remote access management, update management, and disk encryption.
  • Implement container security strategies, including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
  • Incorporate Azure Key Vault, including certificates, keys, and secrets.
  • Carry out application security strategies, including app registration, managed identities, and service endpoints.
  • Enforce storage security strategies, including shared access signatures, blob retention policies, and Azure Files authentication.
  • Execute database security strategies, including authentication, data classification, dynamic data masking, and always encrypted.
  • Incorporate Azure Monitor, including connected sources, log analytics and alerts.
  • Employ Azure Security Center, including policies, recommendations, and just-in-time virtual machine access.
  • Implement Azure Sentinel, including workbooks, incidents, and playbooks.

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What’s included in this Microsoft Azure Security Technologies AZ500 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Designing and Implementing a Data Science Solution on Azure DP100 Course Outline

Module 1: Design a Data Ingestion Strategy for Machine Learning Projects

  • Introduction
  • Identify Your Data Source and Format
  • Choose How to Serve Data to Machine Learning Workflows
  • Design a Data Ingestion Solution
  • Exercise: Design a Data Ingestion Strategy

Module 2: Design a Machine Learning Model Training Solution

  • Introduction
  • Identify Machine Learning Tasks
  • Choose a Service to Train a Machine Learning Model
  • Decide Between Compute Options
  • Exercise: Design a Model Training Strategy

Module 3: Design a Model Deployment Solution

  • Introduction
  • Understand How Model Will Be Consumed
  • Decide on Real-Time or Batch Deployment
  • Exercise - Design a Deployment Solution

Module 4: Azure Machine Learning Workspace Resources and Assets

  • Introduction
  • Video - Explore the Azure Machine Learning Workspace
  • Create an Azure Machine Learning Workspace
  • Identify Azure Machine Learning Resources
  • Identify Azure Machine Learning Assets
  • Train Models in the Workspace
  • Exercise - Explore the Workspace

Module 5: Developer Tools for Workspace Interaction

  • Introduction
  • Studio
  • Python SDK
  • CLI
  • Exercise-Explore the Developer Tools

Module 6: Make Data Available in Azure Machine Learning

  • Introduction
  • Video - Make Data Available in Azure Machine Learning
  • Understand URIs
  • Create a Datastore
  • Create a Data Asset
  • Exercise - Make Data Available in Azure Machine Learning

Module 7: Work with Compute Targets in Azure Machine Learning

  • Introduction
  • Choose the Appropriate Compute Target
  • Create and Use a Compute Instance
  • Create and Use a Compute Cluster
  • Exercise - Work with Compute Resources

Module 8: Work with Environments in Azure Machine Learning

  • Introduction
  • Understand Environments
  • Use Curated Environments
  • Create and Use Custom Environments
  • Exercise - Work with Environments

Module 9: Classification Model with Automated Machine Learning

  • Introduction
  • Video - Find the Best Classification Model with Automated Machine Learning
  • Preprocess Data and Configure Featurisation
  • Run an Automated Machine Learning Experiment
  • Evaluate and Compare Models
  • Exercise - Find the Best Classification Model with Automated Machine Learning

Module 10: Track Model Training in Jupyter Notebooks with MLflow

  • Introduction
  • Configure MLflow For Model Tracking in Notebooks
  • Train and Track Models in Notebooks
  • Exercise - Track Model Training

Module 11: Run Training Script as a Command Job in Azure Machine Learning

  • Introduction
  • Video - Run a Training Script as a Command Job in Azure Machine Learning
  • Convert a Notebook to a Script
  • Run a Script as a Command Job
  • Use Parameters in a Command Job
  • Exercise - Run a Training Script as a Command Job

Module 12: Track Model Training with MLflow in Jobs

  • Introduction
  • Video - Track Model Training with MLFlow in Jobs
  • Track Metrics with MLflow
  • View Metrics and Evaluate Models
  • Exercise - Use MLflow to Track Training Jobs

Module 13: Run Pipelines in Azure Machine Learning

  • Introduction
  • Video - Run Pipelines in Azure Machine Learning
  • Create Components
  • Create a Pipeline
  • Run a Pipeline Job
  • Exercise - Run a Pipeline Job

Module 14: Perform Hyperparameter Tuning with Azure Machine Learning

  • Introduction
  • Define a Search Space
  • Configure a Sampling Method
  • Configure Early Termination
  • Use a Sweep Job for Hyperparameter Tuning
  • Exercise - Run a Sweep Job

Module 15: Deploy a Model to a Managed Online Endpoint

  • Introduction
  • Managed Online Endpoints
  • Deploy the MLflow Model to a Managed Online Endpoint
  • Deploy a Model to a Managed Online Endpoint
  • Test Managed Online Endpoints
  • Exercise - Deploy an MLflow Model to an Online Endpoint

Module 16: Deploy a Model to a Batch Endpoint

  • Introduction
  • Video - Deploy a Model to a Batch Endpoint
  • Understand and Create Batch Endpoints
  • Deploy Your MLflow Model to a Batch Endpoint
  • Deploy a Custom Model to a Batch Endpoint
  • Invoke and Troubleshoot Batch Endpoints
  • Exercise - Deploy an MLflow Model to a Batch Endpoint

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Who should attend this Designing and Implementing a Data Science Solution on Azure DP100 Course?

This Designing and Implementing a Data Science Solution on Azure (DP100) Course is designed to introduce professionals to Azure's data science and machine learning solutions. This course can be beneficial for various professionals, including:

  • Data Scientists
  • Azure Data Engineers
  • Data Analysts
  • AI Engineers
  • Cloud Solution Architects
  • Machine Learning Developers
  • Big Data Engineers
  • Research Scientists

Prerequisites of the Designing and Implementing a Data Science Solution on Azure DP100 Course

The prerequisites required for the Designing and Implementing a Data Science Solution on Azure DP100 are:

  • Proficiency in one of the programming languages like Python, R, or SQL
  • A basic knowledge about machine learning and Azure machine learning

Designing and Implementing a Data Science Solution on Azure DP100 Course Overview

Designing and implementing a data science solution is the process of creating and deploying data-driven solutions to address complex business challenges. Designing and implementing an effective data science solution on Azure enables organisations to unlock the full potential of their data. Organisations face increasing demands to extract valuable insights from vast amounts of data. This training empowers organisations to build end-to-end data science solutions on Azure, leading to improved operational efficiency, enhanced decision-making capabilities, and the ability to derive meaningful insights from data. By mastering the design and implementation of data science solutions on Azure, individuals can boost their career prospects, open doors to exciting job opportunities, and stay at the forefront of the rapidly evolving field of data science.

In this 4-day Designing and Implementing a Data Science Solution on Azure DP100 Training course, delegates will learn essential skills and knowledge to design and implement data science solutions on Azure. They will gain expertise in data ingestion strategies, model training, model deployment, workspace resources, developer tools, compute targets, environments, and various aspects of machine learning and data pipelines. The Knowledge Academy’s highly skilled and professional tutor, who has years of experience teaching Microsoft courses, will conduct this training as well.

Course Objectives

  • To understand the principles of designing data science solutions on Azure
  • To gain proficiency in data ingestion, model training, and model deployment
  • To learn to utilise Azure machine learning workspace resources and tools
  • To acquire skills to work with compute targets and create data pipelines
  • To master the art of performing model evaluation and deployment
  • To develop expertise in tracking and managing models using MLflow

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What’s included in this Designing and Implementing a Data Science Solution on Azure DP100 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Designing and implementing a Microsoft Azure AI Solution AI102 Course Outline

Within this Microsoft training, you will learn the following modules:

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.

Lessons

  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Azure

After completing this module, students will be able to:

  • Describe considerations for creating AI-enabled applications
  • Identify Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.

Lessons

  • Getting Started with Cognitive Services
  • Using Cognitive Services for Enterprise Applications

Lab: Get Started with Cognitive Services
Lab: Manage Cognitive Services Security
Lab: Monitor Cognitive Services
Lab: Use a Cognitive Services Container

After completing this module, students will be able to:

  • Provision and consume cognitive services in Azure
  • Manage cognitive services security
  • Monitor cognitive services
  • Use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.

Lessons

  • Analyzing Text
  • Translating Text

Lab: Translate Text

Lab: Analyze Text

After completing this module, students will be able to:

  • Use the Text Analytics cognitive service to analyze text
  • Use the Translator cognitive service to translate text

Module 4: Building Speech-Enabled Applications

Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.

Lessons

  • Speech Recognition and Synthesis
  • Speech Translation

Lab: Recognize and Synthesize Speech
Lab: Translate Speech

After completing this module, students will be able to:

  • Use the Speech cognitive service to recognize and synthesize speech
  • Use the Speech cognitive service to translate speech

Module 5: Creating Language Understanding Solutions

To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.

Lessons

  • Creating a Language Understanding App
  • Publishing and Using a Language Understanding App
  • Using Language Understanding with Speech

Lab: Create a Language Understanding Client Application
Lab: Create a Language Understanding App
Lab: Use the Speech and Language Understanding Services

After completing this module, students will be able to:

  • Create a Language Understanding app
  • Create a client application for Language Understanding
  • Integrate Language Understanding and Speech

Module 6: Building a QnA Solution

One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.

Lessons

  • Creating a QnA Knowledge Base
  • Publishing and Using a QnA Knowledge Base

Lab: Create a QnA Solution

After completing this module, students will be able to:

  • Use QnA Maker to create a knowledge base
  • Use a QnA knowledge base in an app or bot

Module 7: Conversational AI and the Azure Bot Service

Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.

Lessons

  • Bot Basics
  • Implementing a Conversational Bot

Lab: Create a Bot with the Bot Framework SDK
Lab: Create a Bot with Bot Framework Composer

After completing this module, students will be able to:

  • Use the Bot Framework SDK to create a bot
  • Use the Bot Framework Composer to create a bot

Module 8: Getting Started with Computer Vision

Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.

Lessons

  • Analyzing Images
  • Analyzing Videos

Lab: Analyze Video
Lab: Analyze Images with Computer Vision

After completing this module, students will be able to:

  • Use the Computer Vision service to analyze images
  • Use Video Analyzer to analyze videos

Module 9: Developing Custom Vision Solutions

While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.

Lessons

  • Image Classification
  • Object Detection

Lab: Classify Images with Custom Vision
Lab: Detect Objects in Images with Custom Vision

After completing this module, students will be able to:

  • Use the Custom Vision service to implement image classification
  • Use the Custom Vision service to implement object detection

Module 10: Detecting, Analyzing, and Recognizing Faces

Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.

Lessons

  • Detecting Faces with the Computer Vision Service
  • Using the Face Service

Lab: Detect, Analyze, and Recognize Faces

After completing this module, students will be able to:

  • Detect faces with the Computer Vision service
  • Detect, analyze, and recognize faces with the Face service

Module 11: Reading Text in Images and Documents

Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.

Lessons

  • Reading text with the Computer Vision Service
  • Extracting Information from Forms with the Form Recognizer service

Lab: Read Text in Images
Lab: Extract Data from Forms

After completing this module, students will be able to:

  • Use the Computer Vision service to read text in images and documents
  • Use the Form Recognizer service to extract data from digital forms

Module 12: Creating a Knowledge Mining Solution

Many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.

Lessons

  • Implementing an Intelligent Search Solution
  • Developing Custom Skills for an Enrichment Pipeline
  • Creating a Knowledge Store

Lab: Create a Custom Skill for Azure Cognitive Search
Lab: Create an Azure Cognitive Search solution
Lab: Create a Knowledge Store with Azure Cognitive Search

After completing this module, students will be able to:

  • Create an intelligent search solution with Azure Cognitive Search
  • Implement a custom skill in an Azure Cognitive Search enrichment pipeline
  • Use Azure Cognitive Search to create a knowledge store

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Who should attend this Designing and implementing a Microsoft Azure AI Solution AI102 Course?

This Designing and Implementing a Microsoft Azure AI Solution (AI102) Course aims to equip the participants with necessary knowledge and skills to use Azure services to create AI solutions. This course can be helpful for various professionals, including:

  • AI Developers
  • Data Scientists
  • Cloud Solutions Architects
  • Azure AI Engineers
  • Application Developers
  • Innovation Managers
  • Technical Team Leads

Prerequisites of the Designing and implementing a Microsoft Azure AI Solution AI102 Course

The prerequisites required for the Designing and implementing a Microsoft Azure AI Solution AI102 are:

  • Proficiency in one of the programming languages - Python, C#, or JavaScript
  • Knowledge of Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service.
  • Familiarity with programming semantics like REST and JSON

Designing and implementing a Microsoft Azure AI Solution AI102 Course Overview

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

Course objectives:

  • Describe considerations for AI-enabled application development
  • Create, configure, deploy, and secure Azure Cognitive Services
  • Develop applications that analyze text
  • Develop speech-enabled applications
  • Create applications with natural language understanding capabilities
  • Create QnA applications
  • Create conversational solutions with bots
  • Use computer vision services to analyze images and videos
  • Create custom computer vision models
  • Develop applications that detect, analyze, and recognize faces
  • Develop applications that read and process text in images and documents
  • Create intelligent search solutions for knowledge mining

Show moredown

What’s included in this Designing and implementing a Microsoft Azure AI Solution AI102 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Migrate NoSQL Workloads to Azure Cosmos DB (MDP060)​ Course Outline

Module 1: Building Globally Distributed Applications with Cosmos DB
Lessons

  • Cosmos DB Overview
  • Cosmos DB APIs
  • Provisioning Throughput
  • Partitioning/Sharding Best Practices

Lab: Practice Labs

  • Create Cosmos DB Account
  • Configure RUs

Module 2: Migrate MongoDB Workloads to Cosmos DB
Lessons

  • Understand Migration Benefits
  • Migration Planning
  • Data Migration
  • Application Migration
  • Post-Migration considerations

Lab: Practice Labs

  • Create a Migration Project
  • Define Source and Target
  • Perform Migration
  • Verify Migration

Module 3: Migrate Cassandra DB Workloads to Cosmos DB

Lessons

  • Understand Migration Benefits
  • Migration Planning
  • Data Migration
  • Application Migration
  • Post-Migration Considerations

Lab: Practice Labs

  • Export the Schema
  • Move Data Using CQLSH COPY
  • Move Data Using Spark
  • Verify Migration

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Who should attend this Designing and Implementing Migrate NoSQL Workloads to Azure Cosmos DB DP060 Course?

This Migrate NoSQL Workloads to Azure Cosmos DB (DP060) Course focuses on guiding professionals on how to migrate their existing NoSQL workloads to Azure Cosmos DB. This course can be beneficial for various professionals, including:

  • Database Administrators
  • NoSQL Developers
  • Cloud Solution Architects
  • Data Engineers
  • Backend Developers
  • Application Architects
  • Big Data Specialists
  • Systems Engineers
  • Data Migration Specialists

Prerequisites of the Migrate NoSQL Workloads to Azure Cosmos DB DP060 Course

There are no required prerequisites for the Migrate NoSQL Workloads to Azure Cosmos DB DP060 Course.

Migrate NoSQL Workloads to Azure Cosmos DB (MDP060)​ Course Overview

In this course, delegates will learn about Cosmos DB and how to migrate MongoDB and Cassandra workloads to Cosmos DB. Delegates will learn how to build Globally Distributed Applications with Cosmos DB. In this 1-day course, delegates will also learn how to migrate MongoDB Workloads to Cosmos DB and how to migrate Cassandra DB Workloads to Cosmos DB.

Show moredown

What’s included in this Migrate NoSQL Workloads to Azure Cosmos DB DP060 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Migrate Open Source Data Workloads to Azure (DP070)​ Course Outline

Module 1 - Migrate to Azure SQL DB for MySQL and PostgreSQL

This module will explain about benefits and architecture of Azure SQL DB.

Lessons

  • OSS Databases Overview
  • Common OSS Database Workloads
  • Customer Challenges in Migration

Lab: Creating Source OSS Databases

  • Installation of Postgres Migration DB Server
  • Installation of MySQL Migration DB Server
  • Backups/Data Dumps from Postgres/MySQL
  • Restore from Data Dumps

Module 2 - Migrate On-Premises MySQL to Azure SQL DB for MySQL

In this module, delegates will learn about the benefits and process of migrating MySQL workloads to Azure SQL DB.

Lessons

  • Configure and Manage Azure SQL DB for MySQL
  • Migrate On-Premises MySQL to SQL DB for MySQL
  • Application Migration
  • Post-Migration Considerations

Lab: Migrating MySQL DB Workloads to Azure SQL DB

  • Migrating MySQL DB Workloads to Azure SQL DB
  • Define Source and Target DBs 
  • Perform Migration
  • Verify Migration

Module 3 - Migrate On-Premises PostgreSQL to Azure SQL DB for PostgreSQL

In this module, delegates will get an understanding of the benefits and process of migrating PostgreSQL DB workloads to Azure SQL DB

Lessons

  • Configure and Manage Azure SQL DB for PostgreSQL
  • Migrate On-Premises MySQL to SQL DB for PostgreSQL
  • Application Migration
  • Post-Migration Considerations

Lab: Migrating PostgreSQL DB Workloads to Azure SQL DB

  • Configure Azure SQL DB for PostgreSQL
  • Define Source and Target DBs
  • Perform Migration
  • Verify Migration

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Who should attend this Migrate Open Source Data Workloads to Azure DP070 Course?

This Migrate Open Source Data Workloads to Azure (DP070) Course is designed to teach professionals how to transition their existing open-source data solutions to Azure. This course can be beneficial for various professionals, including:

  • Database Administrators
  • Open Source Developers
  • Cloud Solutions Architects
  • Data Engineers
  • Open Source Solution Architects
  • Data Scientists
  • Backend Developers
  • Data Security Professionals
  • Infrastructure Specialists

Prerequisites of the Migrate Open Source Data Workloads to Azure DP070 Course

There are no required prerequisites for the Migrate Open Source Data Workloads to Azure DP070 Course.

Migrate Open Source Data Workloads to Azure (DP070)​ Course Overview

Technically, the database is an organised collection of data. Data workloads contain the data, database engine to access the data, and the database schema for logical structure. For the world’s innovation, AI technology, Machine learning, and cloud services, Microsoft Azure is a leading contender to execute or drive database migration to the cloud. For database administrator, this is the perfect opportunity to migrate data workloads to the cloud platform. Azure is the best cloud platform for simplifying the administration activities, high scalability and availability. From a security perspective, Azure is PCI compliance. It provides advanced-level security for essential and sensitive database. Within an organisation, Azure also helps to improved business agility.

This 1-day course is designed to get a better understanding of how data workloads set up on the Azure Cloud platform. In this course, delegates will learn about SQL Database and gain knowledge of how to migrate MySQL and PostgreSQL workloads to Azure SQL Database.

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What’s included in this Migrate Open Source Data Workloads to Azure DP070 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub AZ600 Course Outline

This course includes the following modules:

Module 1: Overview of Azure Stack Hub

In this module, you will learn how Azure Stack Hub is an extension of Azure that provides a way to run apps in an on-premises environment and deliver Azure services in your datacenter.

Lessons

  • Azure Stack Hub
  • Datacenter integration
  • Azure Stack Hub PowerShell
  • Module review questions

After completing this module, students will be able to:

  • Describe edge and disconnected solutions
  • Describe Azure Stack Hub integrated systems architecture
  • Explain Azure Stack Hub deployment options
  • Define differences between Azure Stack Hub, Azure Stack HCI, and global Azure

Module 2: Provide Services

In this module, you will learn how to populate Azure Stack Hub Marketplace in a disconnected environment, deploy an App Services resource provider, deploy Event Hubs resource provides, create and manage quotas, plans, offers, and subscriptions, and manage usage and billing.

Lessons

  • Manage Azure Stack Hub Marketplace
  • Offer an App Services resource provider
  • Offer an Event Hubs resource provider
  • Offer services
  • Manage usage and billing
  • Module review questions
    • Lab : Manage offers and plans in Azure Stack Hub
    • Lab : Add custom Marketplace Items by using the Azure Gallery Packager
    • Lab : Validate Azure Resource Manager (ARM) Templates with Azure Stack Hub
    • Lab : Optional Lab : Implement SQL Server Resource Provider in Azure Stack Hub

After completing this module, students will be able to:

  • Create a custom Azure Stack Hub Marketplace item
  • Deploy and update an App Services resource provider
  • Plan an Event Hubs resource provider deployment
  • Create and manage user subscriptions
  • Manage usage and billing in multi-tenant and CSP scenarios

Module 3: Implement Data Center Integration

In this module, you will learn how prepare an Stack Hub deployment, recommend and validate certificates, and register in a connected and disconnected environment.

Lessons

  • Prepare for Azure Stack Hub deployment
  • Manage Azure Stack Hub registration
  • Module review questions

After completing this module, students will be able to:

  • View and retrieve usage data by using the Usage API
  • Recommend a name resolution strategy
  • Validate identity provider integration
  • Validate certificates
  • Recommend a registration mode

Module 4: Manage Identity and Access for Azure Stack Hub

In this module, you will learn how to configure the Azure Stack Hub home directory, register the guest tenant directory with Azure Stack Hub, and identify an appropriate method for access (service principal, users, groups).

Lessons

  • Manage multi-tenancy
  • Manage access
  • Module review questions
    • Lab : Delegate Offer Management in Azure Stack Hub
    • Lab : Manage Service Principals in Azure Stack Hub

After completing this module, students will be able to:

  • Register the guest tenant directory with Azure Stack Hub
  • Update the guest tenant directory
  • Configure access in Azure Stack Hub
  • Create a custom role

Module 5: Manage the Azure Stack Hub Infrastructure

In this module, you will learn how monitor system health by using the REST API, monitor system health by using Syslog Server, collect diagnostic logs on demand by using Powershell, configure a storage target for infrastructure backup, and download and import update packages manually.

Lessons

  • Manage system health
  • Azure Monitor on Azure Stack Hub
  • Plan and configure business continuity and disaster recovery
  • Manage capacity
  • Update infrastructure
  • Manage Azure Stack Hub by using privileged endpoints
  • Module review questions
    • Lab : Connect to Azure Stack Hub via PowerShell
    • Lab : Access the Privileged Endpoint in Azure Stack Hub
    • Lab : Manage Log Collection in Azure Stack Hub
    • Lab : Configure and manage Azure Stack Hub Storage Accounts
    • Lab : Manage Public IP Addresses in Azure Stack Hub
    • Lab : Configure Azure Stack Hub Infrastructure Backup

After completing this module, students will be able to:

  • Include resource providers such as Event Hubs
  • Manage field replacement or repair
  • Configure storage targets for infrastructure backups
  • Update Azure Stack Hub
  • Unlock a support session
  • Connect to a privileged endpoin
  • Perform system diagnostics by using Test-AzureStack

Show moredown

Who should attend this Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub AZ600 Course?

The Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub AZ600 Course is designed to offer professionals with an understanding of the deployment, management, and integration aspects of Azure Stack Hub. This course can be beneficial for various professionals, including:

  • Cloud Engineers
  • Azure Administrators.
  • System Administrators
  • Infrastructure Engineers
  • Solution Architects.
  • DevOps Engineers
  • IT Managers
  • Network Administrators
  • Security Analysts

Prerequisites of the Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub AZ600 Course

The prerequisites required for the Microsoft Azure Fundamentals AZ900 Course are:

  • Prior experience configuring and administering Azure and Windows Server 2019.
  • Competence in managing Azure Active Directory.
  • Proficiency in Azure networking, including VPN, ExpressRoute, and Security groups.
  • Familiarity with Windows PowerShell.
  • Knowledge of Azure Storage solutions and Azure VMs.
  • Clear understanding of data centre architecture, management, security, and redundancy strategies.

Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub AZ600 Course Overview

This 5-day course is intended to provide delegates with the key knowledge required to deploy and configure Microsoft Azure Stack. During the course, they will learn the features and functionalities of Microsoft Azure Stack, how to deploy and manage Microsoft Azure Stack, how to configure resources and monitor Microsoft Azure Stack, and more.

This Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack course is fully accredited by Microsoft through the Microsoft Silver Partnership held by The Knowledge Academy.

Course objectives:

  • Describe the components and architecture of Microsoft Azure Stack
  • Deploy Microsoft Azure Stack
  • Understand the Windows Server 2016 features used in Microsoft Azure Stack
  • Understand how DevOps use Microsoft Azure Stack
  • Offer resources in Microsoft Azure Stack
  • Manage IaaS in Microsoft Azure Stack
  • Manage PaaS in Microsoft Azure Stack
  • Manage updates in Microsoft Azure Stack
  • Perform monitoring and troubleshooting in Microsoft Azure Stack
  • Understand how licensing and billing works in Microsoft Azure Stack

Show moredown

 

What’s included in this Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub AZ600 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Microsoft Azure Big Data Analytics Solutions Course Outline | M55224-1

Module 1: Design Big Data Batch Processing and Interactive Solutions

  • Ingest Data for Batch Processing
  • Design for Batch Processing
  • Design Interactive Queries
  • Review
  • Lab

Module 2: Design Big Data Real-Time Processing Solutions

  • Ingest Data for Real-Time Processing
  • Design for Real-Time Processing
  • Design Interactive Queries for Big Data
  • Review
  • Lab

Module 3: Operatinalise End-to-End Cloud Analytics Solutions

  • Create a Data Factory
  • Create a Data-Driven Workflow
  • Monitor and Manage the Data Factory
  • Move, Transform and Analyse Data
  • Design a Deployment Strategy for an End-To-End Solution
  • Review
  • Lab

Module 4: PowerShell for Technology Professionals

  • Introduction
  • Compared to Other Scripting Languages
  • Configuring and Using PowerShell
  • Creating and Running Scripts
  • Administering Local Resources
  • Administering Network Resources
  • Resolve PowerShell Scripting Problems
  • Lab

Show moredown

Who should attend this Microsoft Azure Big Data Analytics Solutions M552241 Course?

The Microsoft Azure Big Data Analytics Solutions M552241 Course focuses on teaching professionals on how to design big data analytics solutions on Microsoft Azure using Azure Data Lake, Azure Data Factory, and Azure Stream Analytics. This course can be beneficial for various professionals, including:

  • Data Scientists
  • Big Data Engineers
  • Solution Architects
  • Azure Data Engineers
  • Data Analysts
  • Application Developers
  • Data Managers
  • Business Intelligence Professionals
  • DevOps Engineers

Prerequisites of the Microsoft Azure Big Data Analytics Solutions M552241 Course

The prerequisites required for the Microsoft Azure Big Data Analytics Solutions M552241 are:

  • Basic knowledge of Microsoft Azure Fundamentals
  • Understanding of Big Data Analytics concepts
  • Foundation in Data Mining and Data Modeling
  • Familiarity with databases and SQL commands
  • Proficiency in programming languages, preferably Python or R
  • Knowledge of data visualisation and reporting tools

Microsoft Azure Big Data Analytics Solutions Training | Azure Training | M55224-1

This 2-day course is intended for delegates who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. Delegates will learn how to design solutions for batch and real-time data processing. Different methods of using Azure will be discussed and practiced in lab exercises, such Azure CLI, Azure PowerShell and Azure Portal.  The labs and exercises in this course cover the first two objectives of exam 70-475 (designing big data batch processing and interactive solutions, and designing big data real-time processing solutions). The other objectives are covered in the Operationalise Cloud Analytics Solutions with Microsoft Azure course

This Microsoft Azure Big Data Analytics Solutions course is fully accredited by Microsoft through the Microsoft Silver Partnership held by The Knowledge Academy.

After completing this course, delegates will be able to:

  • Design big data batch processing and interactive solutions
  • Design big data real-time processing solutions

Show moredown

 

What’s included in this Microsoft Azure Big Data Analytics Solutions M552241 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Please Note: The Exam for this course has been retired by Microsoft.

 

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Planning and Administering Microsoft Azure for SAP Workloads Course Outline | MAZ120

Module 1: Explore Azure for SAP Workloads

  • Introduction to Azure for SAP Workloads
  • Discover the SAP and Microsoft Partnership
  • Explore Your Options with SAP on Azure
  • Evaluate Microsoft Components

Module 2: Discover Common Terms and Meanings for SAP on Azure

  • Introduction
  • Discover Common Terms and Meanings: SAP
  • Discover Common Terms and Meanings: SAP Deployments on Azure
  • Discover Common Terms and Meanings: Azure

Module 3: Identify SAP-Certified Configurations

  • Introduction
  • Explore General Prerequisites for SAP Support in Public Cloud Environments
  • Identify Deployment Options for SAP Solutions on Azure
  • Discover Supported Azure Virtual Machines for SAP Products on Windows and Linux
  • Discover Supported Azure Virtual Machines for SAP NetWeaver Instances
  • Discover SAP-Certified Operating Systems for Azure Virtual Machines
  • Discover SAP Certifications and Configurations Running on Microsoft Azure

Module 4: Examine SAP NetWeaver with AnyDB on Azure Virtual Machines

  • Introduction
  • Explore SAP NetWeaver with AnyDB on Azure Virtual Machines
  • Recognise Architectural Components
  • Examine a Sample Functional Workflow

Module 5: Examine SAP S/4HANA on Azure Virtual Machines

  • Introduction
  • Explore SAP S/4HANA on Azure Virtual Machines
  • Recognise Architectural Components
  • Examine a Sample Functional Workflow

Module 6: Explore Azure for SAP Compute

  • Introduction
  • Plan for Implementing SAP Solutions
  • Explore Azure Virtual Machines (VMs)
  • Examine Constrained vCPU Capable Virtual Machine Sizes
  • Scale Azure Virtual Machines
  • Examine Azure Virtual Machine Scaling Considerations
  • Explore Network Bandwidth Allocation
  • Explore Data Flows
  • Examine Azure Virtual Machine Compute Considerations
  • Implement and Verify High Availability SAP HANA on Azure Virtual Machines

Module 7: Explore Azure for SAP Networking

  • Introduction
  • Explore Azure Virtual Networks
  • Consider IP Addressing
  • Explore Name Resolution
  • Explore Accelerated Networking
  • Explore Azure Load Balancer
  • Examine Azure Virtual Machine Networking Considerations
  • Examine Load Balancing Considerations
  • Explore Azure Traffic Manager
  • Explore Azure Front Door
  • Explore Azure Firewall
  • Consider Networking Changes for Azure Virtual Machines
  • Examine Azure Routing Configurations
  • Explore Virtual Network Connectivity
  • Explore Distributed Denial-of-Service (DDoS) Protection Options
  • Examine the Virtual Datacenter
  • Explore Cross-Premises Connectivity
  • Explore SAProuter
  • Examine Networking Support of Azure for SAP Workloads

Module 8: Explore Azure for SAP Storage

  • Introduction
  • Explore Azure Storage Types
  • Explore Azure Files
  • Examine Azure Virtual Machine Disks
  • Recognise Virtual Machine Images and Disks
  • Explore Managed and Unmanaged Disks
  • Explore Caching for Virtual Machines and Data Disks
  • Explore Write Accelerator
  • Examine General Database Sizing
  • Examine Azure Virtual Machine Storage Considerations
  • Examine SAP HANA Dynamic Tiering 2.0
  • Explore Azure Virtual Machine Disks Best Practices
  • Explore Azure Virtual Machine NFS Storage
  • Explore Azure Virtual Machine SMB Storage
  • Examine SAP HANA Azure Virtual Machine Storage Configurations
  • Explore Solutions with Premium Storage and Azure Write Accelerator for Azure M-Series Virtual Machines
  • Explore Azure Ultra Disk Storage Configuration for SAP HANA
  • Explore NFS v4.1 Volumes on Azure NetApp Files
  • Examine Sizing for HANA Databases on Azure NetApp Files

Module 9: Explore Azure for SAP Databases

  • Introduction
  • Explore Database Support of Azure for SAP Workloads
  • Explore SQL Server
  • Consider Database Compression
  • Store Database Files Directly on Azure Blob Storage
  • Explore Azure Virtual Machine Security
  • Consider Security Recommendations for Blob Storage
  • Apply SQL Server Transparent Data Encryption
  • Explore the SQL Server 2014 Buffer Pool Extension
  • Examine Oracle Recommendations
  • Lab - Implement Linux Clustering for SAP on Azure Virtual Machines
  • Lab - Implement Windows Clustering for SAP on Azure Virtual Machines

Module 10: Explore Identity Services for SAP on Azure

  • Introduction
  • Explore Azure Virtual Machine Authentication, Authorisation, and Access Control
  • Explore Azure Active Directory (Azure AD)
  • Explore SAP Cloud Platform Identity Authentication
  • Integrate Azure Active Directory with SAP Cloud Platform Identity Authentication
  • Integrate Azure Active Directory with SAP Fiori
  • Integrate Azure Active Directory with SAP HANA
  • Integrate Azure Active Directory with SAP NetWeaver
  • Integrate Active Directory with SAP Single Sign-On (Kerberos-SPNEGO)
  • Discover Active Directory Domain Services (AD DS)
  • Explore Primary Scenarios Using Active Directory Domain Services and Azure Virtual Machines
  • Discover Azure Active Directory Domain Services (Azure AD DS)
  • Integrate Linux with Active Directory Domain Services

Module 11: Explore Remote Management for SAP on Azure

  • Introduction
  • Consider Remote Management of Azure Virtual Machines
  • Set Up the Azure Connector for SAP Landscape Management
  • Explore Access Management
  • Explore Azure Bastion
  • Examine Just-in-Time (JIT) Virtual Machine Access

Module 12: Explore Governance and Manageability for SAP on Azure

  • Introduction
  • Explore Azure Resource Manager
  • Examine Azure Resource Manager Templates
  • Explore the Azure Resource Manager Template Structure and Schema
  • Examine Role-Based Access Control (RBAC)
  • Organise Azure Resources with Tags
  • Explore Azure Policy
  • Explore Management Groups
  • Explore Azure Automation
  • Explore Security and Compliance Services

Module 13: Deploy Single-Instance Implementations of SAP on Azure

  • Introduction
  • Explore Deployment Methodologies
  • Deploy via Azure Resource Manager Templates
  • Manually Install Single-Instance SAP HANA on Azure Virtual Machines
  • Prepare Azure Virtual Machines for a Manual Installation of SAP HANA
  • Discover Key Steps for SAP HANA Installation Using SAP SWPM
  • Discover Key Steps for SAP HANA Installation Using HDBLCM
  • Implement SAP HANA Scale-Out

Module 14: Implement High Availability in SAP NetWeaver with AnyDB on Azure Virtual Machines

  • Introduction
  • Implement High Availability in SAP NetWeaver with AnyDB on Azure Virtual Machines
  • Examine Single SID 3-Tier SAP NetWeaver High Availability AnyDB Deployment
  • Examine Multi-SID 3-Tier SAP NetWeaver High Availability AnyDB Deployment
  • Set the Required DNS IP Addresses
  • Add Registry Entries on Both Cluster Nodes of the SAP ASCS-SCS Instance
  • Set Up a Windows Server Failover Cluster for an SAP ASCS-SCS Instance
  • Install SIOS DataKeeper Cluster Edition for the SAP ASCS-SCS Cluster Shared Disk
  • Implement a Highly Available NFS Share
  • Lab - Implement SAP Architecture on Azure VMs Running Linux
  • Lab - Implement SAP Architecture on Azure VMs Running Windows

Module 15: Implement High Availability for SAP Workloads in Azure

  • Introduction
  • Explore High Availability and Disaster Recovery Support of Azure for SAP Workloads
  • Explore High Availability of SAP Workloads
  • Examine Failover Clustering
  • Explore Deployment Scenarios
  • Explore High Availability of SAP Application Servers
  • Explore High Availability of SAP ASCS-SCS Instances
  • Examine High Availability of DBMS Instances
  • Explore SAP HANA Availability
  • Explore SQL Server High Availability for SAP in Azure
  • Explore Oracle High Availability for SAP in Azure
  • Examine High Availability Capabilities of Azure Infrastructure
  • Understand Service-Level Agreements
  • Explore Availability Zones
  • Examine Principal Architectures
  • Determine Latency Between Azure Virtual Machines Across Availability Zones
  • Explore the Active/Active Deployment Scenario
  • Explore the Active/Passive Deployment Scenario
  • Configure Combined High Availability and Disaster Recovery

Module 16: Implement Disaster Recovery for SAP Workloads in Azure

  • Introduction
  • Explore Disaster Recovery of SAP Workloads
  • Explore Simple Availability Between Two Azure Regions
  • Combine Availability Within One Region and Across Regions
  • Explore Site Recovery
  • Implement Disaster Recovery for SAP Deployments Across Azure Regions with Azure Site Recovery
  • Set Up Disaster Recovery for a Multi-Tier SAP NetWeaver App Deployment (in Azure)
  • Replicate Azure Virtual Machines Running in Proximity Placement Groups to Another Region
  • Set Up Disaster Recovery for Active Directory and DNS

Module 17: Perform Backups and Restores for SAP Workloads on Azure

  • Introduction
  • Explore Backup and Restore of Azure Virtual Machines
  • Examine Application-Consistent Backup of Azure Linux Virtual Machines
  • Explore Application Backup
  • Explore Database Backup
  • Explore SAP HANA Backup
  • Implement SAP HANA Backup Scheduling Strategy
  • Explore SAP HANA File-Level Backups
  • Create SAP HANA Snapshot-Based Backups
  • Explore SQL Server Backup to URL (Azure Storage)
  • Explore SQL Server File-Snapshot Backups
  • Explore Oracle Backup
  • Explore SQL Server Backups
  • Set Up Disaster Recovery for SQL Server

 

Module 18: Use the Planning and Deployment Checklist for SAP Workloads on Azure

  • Introduction
  • Examine the SAP Workload Planning and Deployment Checklist
  • Explore the Project Preparation and Planning Phase
  • Explore the Pilot Phase
  • Explore the Non-Production Phase
  • Explore the Production Preparation Phase
  • Explore the Go-Live Phase
  • Explore the Post-Production Phase

Module 19: Explore Migration Options for SAP on Azure

  • Introduction
  • Analyse Strategies for Migrating SAP Systems to Microsoft Azure
  • Migrate to SAP S/4HANA from SAP Business Suite
  • Compare Classical Migration with the SAP Database Migration Option (DMO)
  • Analyse the SAP Database Migration Option Methodology
  • Explore One-Step Migration - DMO with System Move Option
  • Explore Two-Step Migration - Lift and Shift Followed by DMO
  • Explore Downtime-Optimised DMO

Module 20: Migrate Very Large Databases (VLDB) to Azure for SAP

  • Introduction
  • Explore Very Large Database Migration
  • Optimise the Source System
  • Optimise the Source System - Advanced
  • Optimise Network Upload
  • Optimise the Target System
  • Create Recommended Migration Project Documents
  • Monitor the Migration
  • Examine Very Large Database Migration Best Practices

Module 21: Explore Monitoring Requirements of Azure for SAP Workloads

  • Introduction
  • Explore the Monitoring Requirements of Azure for SAP Workloads
  • Examine Monitoring, Logging, and Alerting Services
  • Explore Azure Virtual Machine Monitoring Considerations
  • Troubleshoot Azure Enhanced Monitoring for SAP
  • Explore Azure Monitor and Log Analytics
  • Explore SAP HANA Alerts
  • Examine Diagnostic Tools
  • Explore Operating System and Workload Updates for Azure Virtual Machines

Module 22: Configure the Azure Enhanced Monitoring Extension for SAP

  • Introduction
  • Explore the Azure Enhanced Monitoring Extension for SAP
  • Configure the Azure Enhanced Monitoring Extension for SAP

Module 23: Explore Licensing, Pricing, and Support for SAP on Azure Virtual Machines

  • Introduction
  • Price Azure Virtual Machine-Based Solutions
  • Explore Licensing, Pricing, and Support of Azure for SAP Workloads

Show moredown

Who should attend this Planning and Administering Microsoft Azure for SAP Workloads AZ120 Course?

This Planning and Administering Microsoft Azure for SAP Workloads (AZ120) Course is designed to impart knowledge and skills to IT professionals about the planning, deployment, and administration of SAP solutions on Microsoft Azure. This course can benefit various IT professionals, including:

  • SAP System Administrators
  • Azure Architects
  • Cloud Administrators
  • SAP Architects
  • Infrastructure Architects
  • IT Managers
  • Database Administrators
  • Technical SAP Consultants
  • Azure Cloud Solution Architects

Prerequisites of the Planning and Administering Microsoft Azure for SAP Workloads AZ120 Course

The prerequisites for the Planning and Administering Microsoft Azure for SAP Workloads AZ120 Course are:

  • Extensive experience with SAP HANA, S/4HANA, SAP NetWeaver, SAP BW/4HANA, OS servers for SAP applications and databases, and Azure portal, Azure Marketplace, and Azure Resource Manager templates.
  • Experience with virtualization, cloud infrastructure, storage structures, high availability design, disaster recovery design, data protection concepts, and networking.
  • It is recommended to go through Azure Administrator AZ103 Course of Azure Solutions Architect AZ300 Course.

Planning and Administering Microsoft Azure for SAP Workloads Course Overview | MAZ120

This course teaches IT Professionals experienced in SAP solutions how to leverage Azure resources that include deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure AD that includes implementing and managing hybrid identities. Students of this course will learn through concepts, scenarios, procedures, and hands-on labs on how to best plan and implement migration and operation of an SAP solution on Azure. You will receive guidance on subscriptions, create and scale virtual machines, implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities,

After completing this course, students will be able to:

  • Migrate and SAP HANA, S/4HANA, SAP NetWeaver to Azure
  • Leverage Azure Portal, Cloud Shell, Azure PowerShell, CLI, and Resource Manager
  • Use intersite connectivity features including VNet Peering and VNet-to-VNet connections
  • Work with Azure Active Directory (AAD) and Azure AD Connect

Show moredown

 

What’s included in this Planning and Administering Microsoft Azure for SAP Workloads AZ120 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Please Note: The Exam isn't included within the cost of this 4-day training course.

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Microsoft Azure Architect Design MAZ304​ Course Outline

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

Module 1: Design a Compute Solution

  • Recommending a Solution for Compute Provisioning
  • Determine Appropriate Compute Technologies
  • Recommending a Solution for Containers
  • Recommending a Solution for Automating Compute Management

Lab: Implementing Containers on Azure

  • Implement containers running in Azure VMs
  • Deploy containers to Azure Container Instances
  • Deploy containers to AKS clusters

Module 2: Design a Network Solution

  • Recommend a Solution for Network Addressing and Name Resolution
  • Recommend a Solution for Network Provisioning
  • Recommend a Solution for Network Security
  • Recommend a Solution for internet Connectivity and On-Premises Networks
  • Recommend a Solution for Automating Network Management
  • Recommend a Solution for Load Balancing and Traffic Routing

Module 3: Design for Migration

  • Assess and On-Premises Servers and Applications for Migration
  • Recommend a Solution for Migrating Applications and VMs
  • Recommend a Solution for Migration of Databases

Module 4: Design Authentication and Authorisation

  • Tips for Identity and Access Management
  • Recommend a Solution for Multi-Factor Authentication
  • Five Steps for Securing Identity Infrastructure
  • Recommend a Solution for Single-Sign-On (SSO)
  • Recommend a Solution for a Hybrid Identity
  • Recommend a Solution for B2B Integration
  • Recommend a Hierarchical Structure for Management Groups

Lab: Managing Azure AD Authentication and Authorisation

  • Deploy an Azure VM hosting an AD DS domain controller
  • Create and configure an Azure AD tenant
  • Integrate an AD DS forest with an Azure AD tenant

Module 5: Design Governance

  • Recommend a Solution for using Azure Policy
  • Recommend a Solution for using Azure Blueprint

Module 6: Design a Solution for Databases

  • Select an Appropriate Data Platform Based on Requirements
  • Overview of Azure Data Storage
  • Recommend Database Service Tier Sizing
  • Dynamically Scale Azure SQL Database and Azure SQL Managed Instances
  • Recommend a Solution for Encrypting Data at Rest, Transmission, and In Use

Module 7: Select an Appropriate Storage Account

  • Understanding Storage Tiers
  • Recommend a Storage Access Solution
  • Recommend Storage Management Tools

Module 8: Design Data Integration

  • Understanding Storage Tiers
  • Recommend a Storage Access Solution
  • Recommend Storage Management Tools

Module 9: Design a Solution for Logging and Monitoring

  • Azure Monitoring Services
  • Azure Monitor

Module 10: Design a Solution for Backup and Recovery

  • Recommend a Recovery Solution for Hybrid and On-Premises Workloads
  • Design and Azure Site Recovery Solution
  • Recommend a Solution for Recovery in Different Regions
  • Recommend a Solution for Azure Backup Management
  • Design a Solution for Data Archiving and Retention

Module 11: Design for High Availability

  • Recommend a Solution for Application, Autoscaling and Workload Redundancy
  • Resources that Require High Availability
  • Identify Storage Types for High Availability
  • Recommend a Solution for Geo-Redundancy of Workloads

Module 12: Design for Cost Optimisation

  • Recommend Solutions for Cost Management
  • Recommended Viewpoints for Minimising Costs

Module 13: Design an Application Architecture

  • Recommend a Microservices Architecture
  • Recommend an Orchestration Solution for Deployment of Applications
  • Recommend a Solution for API Integration

Lab: Implement Azure Logic Apps Integration with Azure Event Grid

  • Integrate Azure Logic Apps with Event Grid
  • Trigger execution of Logic Apps in response to an event representing a change to a resource within a

Module 14: Design Security for Applications

  • Security for Applications and Services
  • Recommend a Solution using Key Vault
  • Recommend Solutions using Azure AD Managed Identities

Show moredown

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

 

Who should attend this Microsoft Azure Architect Design MAZ304 Course?

The Microsoft Azure Architect Design (MAZ304) Course delves into the design aspects of Azure solutions. It informs professionals about Azure best practices, patterns, and design considerations for ensuring optimal cloud architecture. This course can be helpful for various professionals, including:

  • Azure Solution Architects
  • Cloud Solutions Designers
  • IT Strategists
  • Application Architects
  • Infrastructure Planners
  • Senior Developers
  • DevOps Practitioners

Prerequisites of the Microsoft Azure Architect Design MAZ304 Course

There are no prerequisites required for the Microsoft Azure Architect Design MAZ304 Course.

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

Microsoft Azure Architect Design MAZ304​ Course Overview

Microsoft Azure is a rapidly growing collection of cloud services that support organisations to meet their market challenges. Microsoft Azure was formerly known as Windows Azure. It facilitates to maintain and use applications on an extensive global network utilising their frameworks and tools. An Azure Solutions Architect or Azure Architect is a Cloud Architect that creates solutions for Microsoft Azure Cloud. This course covers the advanced topics that a Solutions Architect will need to know to use Microsoft Azure as their cloud platform for a project. The azure architect is highly demanded in most of the multinational companies nowadays. This role requires decisions in multiple areas that affect an overall design solution as well as expertise in designing and implementing solutions running on Microsoft Azure.

In this 4-day Microsoft Azure Architect Design course training, delegates will gain knowledge about how to translate organisational requirements in secure, scalable, and reliable solutions. This training includes cost analysis, design considerations of logging, authorisation and authentication, security, governance, storage, migration and high availability. This course will be taught by our expert trainers who have years of experience in leading technical courses.

This training will cover various concepts, such as:

  • Design authentication and authorisation 
  • Design governance 
  • Designing a solution for databases 
  • Designing a compute solution 
  • Select an appropriate storage account 

At the end of this training, delegates will attain knowledge about how to manage tag governance with Azure policy. They will be able to implement recommendations for network connectivity to the internet, on-premises networks, and other VNets and will also attain the knowledge about various automating compute management.

Show moredown

What’s included in this Microsoft Azure Architect Design MAZ304 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Administering Microsoft Azure SQL Solutions DP300 Course Outline

Within this Microsoft Azure training course, you will learn the following modules:

Module 1: Prepare to Maintain SQL Databases on Azure

  • Introduction
  • Describe Microsoft Intelligent Data Platform Roles
  • Understand SQL Server in an Azure Virtual Machine
  • Design Azure SQL Database for Cloud-Native Applications
  • Explore Azure SQL Database Managed Instance

Module 2: Deploy IaaS Solutions with Azure SQL

  • Introduction
  • Explain IaaS Options to Deploy SQL Server in Azure
  • Understand Hybrid Scenarios
  • Explore Performance and Security
  • Explain High Availability and Disaster Recovery Options
  • Exercise: Provision a SQL Server on an Azure Virtual Machine

Module 3: Deploy PaaS Solutions with Azure SQL

  • Introduction
  • Explain PaaS Options for Deploying SQL Server in Azure
  • Explore Single SQL Database
  • Deploy SQL Database Elastic Pool
  • Understand SQL Database Hyperscale
  • Examine SQL Managed Instance
  • Describe SQL Edge
  • Exercise: Deploy an Azure SQL Database

Module 4: Evaluate Strategies for Migrating to Azure SQL

  • Introduction
  • Understand Compatibility Level
  • Understand Azure Preview Features
  • Describe Azure Database Migration Options

Module 5: Migrate SQL Server Workloads to Azure SQL Database

  • Introduction
  • Choose the Right Azure SQL Database Feature
  • Use Azure SQL Migration Extension to Migrate to Azure SQL Database
  • Explore Data Migration Assistant to Migrate to Azure SQL Database
  • Migrate to Azure SQL Database Using BACPAC
  • Use an Online Method to Migrate to Azure SQL Database
  • Move Data to Azure SQL Database
  • Exercise: Migrate a SQL Server Database to Azure SQL Database

Module 6: Migrate SQL Workloads to Azure Managed Instances

  • Introduction
  • Evaluate Migration Scenarios to SQL Database Managed Instance
  • Migrate to SQL Database Managed Instance
  • Load and Move Data to SQL Database Managed Instance

Module 7: Configure Database Authentication and Authorisation

  • Introduction
  • Describe Active Directory and Azure Active Directory
  • Describe Authentication and Identities
  • Describe Security Principals
  • Describe Database and Object Permissions
  • Identify Authentication and Authorisation Failures
  • Exercise: Authorise Access to Azure SQL Database with Azure Active Directory

Module 8: Protect Data In-Transit and At Rest

  • Introduction
  • Explore Transparent Data Encryption
  • Configure Server and Database Firewall Rules
  • Explain Object Encryption and Secure Enclaves
  • Enable Encrypted Connections
  • Describe SQL Injection
  • Understand Azure Key Vault
  • Exercise: Configure a Server-Based Firewall Rule Using the Azure Portal

Module 9: Implement Compliance Controls for Sensitive Data

  • Introduction
  • Explore Data Classification
  • Explore Server and Database Audit
  • Implement Dynamic Data Masking
  • Implement Row-Level Security
  • Understand Microsoft Defender for SQL
  • Explore Azure SQL Database Ledger
  • Implement Azure Purview
  • Exercise: Enable Microsoft Defender for SQL and Data Classification

Module 10: Describe Performance Monitoring

  • Introduction
  • Describe Performance Monitoring Tools
  • Describe Critical Performance Metrics
  • Establish Baseline Metrics
  • Explore Extended Events
  • Describe Azure SQL Insights
  • Explore Query Performance Insight
  • Exercise: Isolate Problems with Monitoring

Module 11: Configure SQL Server Resources for Optimal Performance

  • Introduction
  • Explain How to Optimise Azure Storage for SQL Server Virtual Machines
  • Describe Virtual Machine Resising
  • Optimise Database Storage
  • Control SQL Server Resources

Module 12: Configure Databases for Optimal Performance

  • Introduction
  • Explore Database Maintenance Checks
  • Describe Database Scoped Configuration Options
  • Describe Automatic Tuning
  • Describe Intelligent Query Processing
  • Exercise: Detect and Correct Fragmentation Issues

Module 13: Explore Query Performance Optimisation

  • Introduction
  • Understand Query Plans
  • Explain Estimated and Actual Query Plans
  • Describe Dynamic Management Views and Functions
  • Explore Query Store
  • Identify Problematic Query Plans
  • Describe Blocking and Locking
  • Exercise: Identify and Resolve Blocking Issues

Module 14: Evaluate Performance Improvements

  • Introduction
  • Describe Wait Statistics
  • Tune and Maintain Indexes
  • Understand Query Hints
  • Exercise: Isolate Problem Areas in Poorly Performing Queries

Module 15: Explore Performance-Based Design

  • Introduction
  • Describe Normalisation
  • Choose Appropriate Data Types
  • Design Indexes
  • Exercise: Identify Database Design Issues

Module 16: Automate Deployment of Database Resources

  • Introduction
  • Describe Deployment Models in Azure
  • Automate Deployment by Using Azure Resource Manager Templates and Bicep
  • Automate Deployment by Using PowerShell
  • Automate Deployment by Using Azure CLI
  • Exercise: Deploy an Azure SQL Database Using an Azure Resource Manager Template

Module 17: Create and Manage SQL Agent Jobs

  • Introduction
  • Create a SQL Server Maintenance Plan
  • Describe Task Status Notifications
  • Knowledge Check
  • Exercise: Create a CPU Status Alert for a SQL Server

Module 18: Manage Azure PaaS Tasks Using Automation

  • Introduction
  • Explore Elastic Jobs
  • Understand Azure Automation
  • Build an Automation Runbook
  • Automate Database Workflows by Using Logic Apps
  • Monitor Automated Tasks
  • Exercise: Deploy an Automation Runbook to Automatically Rebuild Indexes

Module 19: Describe High Availability and Disaster Recovery Strategies

  • Introduction
  • Describe Recovery Time Objective and Recovery Point Objective
  • Explore High Availability and Disaster Recovery Options
  • Describe Azure High Availability and Disaster Recovery Features for Azure Virtual Machines
  • Describe High Availability and Disaster Recovery Options for PaaS Deployments
  • Explore an IaaS High Availability and Disaster Recovery Solution
  • Describe Hybrid Solutions

Module 20: Explore IaaS and PaaS Solutions for High Availability and Disaster Recovery

  • Introduction
  • Describe Failover Clusters in Windows Server
  • Configure Always-On Availability Groups
  • Describe Temporal Tables in Azure SQL Database
  • Describe Active Geo-Replication for Azure SQL Database
  • Explore Auto-Failover Groups for Azure SQL Database and Azure SQL Managed Instance
  • Exercise: Configure Geo-Replication for Azure SQL Database

Module 21: Back Up and Restore Databases

  • Introduction
  • Back Up and Restore SQL Server Running on Azure Virtual Machines
  • Back Up a SQL Server Virtual Machine
  • Back Up and Restore a Database Using Azure SQL Database
  • Exercise: Backup to URL

Show moredown

Who should attend this Administering Microsoft Azure SQL Solutions DP300 Course?

The Administering Microsoft Azure SQL Solutions DP300 Course delves into the design aspects of Azure solutions. It informs professionals about Azure best practices, patterns, and design considerations for ensuring optimal cloud architecture. This course can be helpful for various professionals, including:

  • Azure Solution Architects
  • Cloud Solutions Designers
  • IT Strategists
  • Application Architects
  • Infrastructure Planners
  • Senior Developers
  • DevOps Practitioners

Prerequisites of the Administering Microsoft Azure SQL Solutions DP300 Course

The required prerequisites for the Administering Microsoft Azure SQL Solutions DP300 Course are:

  • Experience with managing Azure SQL Database resources, such as databases, servers, and pools.
  • Experience with deploying and managing Azure SQL Managed Instance, securing Azure SQL Database, monitoring and troubleshooting Azure SQL Database and automating Azure SQL Database administration

Administering Microsoft Azure SQL Solutions DP300 Course Overview.

This course provides students with the knowledge and skills to administer an SQL Server database infrastructure for cloud, on-premises, and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.

Course objectives:

  • Plan, deploy, and configure Azure SQL offerings.
  • Monitor database performance and tune a database and queries for optimum performance.
  • Plan and configure a High Availability Solution.

Show moredown

What’s included in this Administering Microsoft Azure SQL Solutions DP300 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Microsoft Azure Administrator MAZ104 Course Outline

Module 1: Configure Azure Active Directory

  • Introduction
  • Describe Azure Active Directory Benefits and Features
  • Describe Azure Active Directory Concepts
  • Compare Active Directory Domain Services to Azure Active Directory
  • Select Azure Active Directory Editions
  • Implement Azure Active Directory Join
  • Implement Azure Active Directory Self-Service Password Reset

Module 2: Configure user and group accounts

  • Introduction
  • Create User Accounts
  • Manage User Accounts
  • Create Bulk User Accounts
  • Create Group Accounts
  • Create Administrative Units
  • Interactive Lab Simulation

Module 3: Configure Subscriptions

  • Introduction
  • Identify Azure Regions
  • Implement Azure Subscriptions
  • Obtain an Azure Subscription
  • Identify Azure Subscription Usage
  • Implement Microsoft Cost Management
  • Apply Resource Tagging
  • Apply Cost Savings

Module 4: Configure Azure Policy

  • Introduction
  • Create Management Groups
  • Implement Azure Policies
  • Create Azure Policies
  • Create Policy Definitions
  • Create an Initiative Definition
  • Scope the Initiative Definition
  • Determine Compliance
  • Interactive Lab Simulation

Module 5: Configure Role-Based Access Control

  • Introduction
  • Implement Role-Based Access Control
  • Create a Role Definition
  • Create a Role Assignment
  • Compare Azure Roles to Azure Active Directory Roles
  • Apply Role-Based Access Control
  • Review Fundamental Azure RBAC Roles
  • Interactive Lab Simulation

Module 6: Configure Azure Resources with Tools

  • Introduction
  • Use the Azure Portal
  • Use Azure Cloud Shell
  • Use Azure PowerShell
  • Interactive Lab Simulation (Azure PowerShell)
  • Use Azure CLI
  • Interactive Lab Simulation (Azure CLI)

Module 7: Use Azure Resource Manager

  • Introduction
  • Review Azure Resource Manager Benefits
  • Review Azure Resource Terminology
  • Create Resource Groups
  • Create Azure Resource Manager Locks
  • Reorganize Azure Resources
  • Remove Resources and Resource Groups
  • Determine Resource Limits

Module 8: Configure Resources with Azure Resource Manager Templates

  • Introduction
  • Review Azure Resource Manager Template Advantages
  • Explore the Azure Resource Manager Template Schema
  • Explore the Azure Resource Manager Template Parameters
  • Consider Bicep Templates
  • Review QuickStart Templates
  • Interactive Lab Simulation – Templates

Module 9: Configure Virtual Networks

  • Introduction
  • Plan Virtual Networks
  • Create Subnets
  • Create Virtual Networks
  • Plan IP Addressing
  • Create Public IP Addressing
  • Associate Public IP Addresses
  • Allocate or Assign Private IP Addresses
  • Interactive lab Simulation

Module 10: Configure Network Security Groups

  • Introduction
  • Implement Network Security Groups
  • Determine Network Security Group Rules
  • Determine Network Security Group Effective Rules
  • Create Network Security Group Rules
  • Implement Application Security Groups
  • Interactive Lab Simulation

Module 11: Configure Azure DNS

  • Introduction
  • Identify Domains and Custom Domains
  • Verify Custom Domain Names
  • Create Azure DNS Zones
  • Delegate DNS Domains
  • Add DNS Record Sets
  • Plan for Azure Private DNS Zones
  • Review Azure Private DNS Zone Scenarios
  • Interactive Lab Simulation

Module 12: Configure Azure Virtual Network Peering

  • Introduction
  • Determine Azure Virtual Network Peering Uses
  • Determine Gateway Transit and Connectivity
  • Create Virtual Network Peering
  • Extend Peering with User-Defined Routes and Service Chaining
  • Interactive Lab Simulation

Module 13: Configure Network Routing and Endpoints

  • Introduction
  • Review System Routes
  • Identify User-Defined Routes
  • Determine Service Endpoint Uses
  • Determine Service Endpoint Services
  • Identify Private Link Uses
  • Interactive Lab Simulation

Module 14: Configure Azure Load Balancer

  • Introduction
  • Determine Azure Load Balancer Uses
  • Implement a Public Load Balancer
  • Implement an Internal Load Balancer
  • Determine Load Balancer Skus
  • Create Back-End Pools
  • Create Health Probes
  • Create Load Balancer Rules
  • Interactive Lab Simulation

Module 15: Configure Azure Application Gateway

  • Introduction
  • Implement Azure Application Gateway
  • Determine Azure Application Gateway Routing
  • Configure Azure Application Gateway Components

Module 16: Configure Storage Accounts

  • Introduction
  • Implement Azure Storage
  • Explore Azure Storage Services
  • Determine Storage Account Types
  • Determine Replication Strategies
  • Access Storage
  • Secure Storage Endpoints

Module 17: Configure Azure Blob Storage

  • Introduction
  • Implement Azure Blob Storage
  • Create Blob Containers
  • Assign Blob Access Tiers
  • Add Blob Lifecycle Management Rules
  • Determine Blob Object Replication
  • Upload Blobs

Module 18: Configure Azure Storage Security

  • Introduction
  • Review Azure Storage Security Strategies
  • Create Shared Access Signatures
  • Identify URI and SAS Parameters
  • Determine Azure Storage Encryption
  • Create Customer-Managed Keys
  • Apply Azure Storage Security best practices
  • Interactive Lab Simulation

Module 19: Configure Azure Files and Azure File Sync

  • Introduction
  • Compare Storage for File Shares and Blob Data
  • Manage Azure Files Shares
  • Create File Share Snapshots
  • Implement Azure File Sync
  • Identify Azure File Sync Components
  • Deploy Azure File Sync

Module 20: Configure Azure Storage with Tools

  • Introduction
  • Use Azure Storage Explorer
  • Use the Azure Import/Export Service
  • Use the WAImportExport Tool
  • Use the AzCopy Tool

Module 21: Configure Virtual Machines

  • Introduction
  • Review Cloud Services Responsibilities
  • Plan virtual Machines
  • Determine Virtual Machine Sizing
  • Determine Virtual Machine Storage
  • Create Virtual Machines in the Azure Portal
  • Connect to Virtual Machines
  • Interactive Lab Simulation

Module 22: Configure Virtual Machine Availability

  • Introduction
  • Plan for Maintenance and Downtime
  • Create Availability Sets
  • Review Update Domains and Fault Domains
  • Review Availability Zones
  • Compare Vertical and Horizontal Scaling
  • Implement Azure Virtual Machine Scale Sets
  • Create Virtual Machine Scale Sets
  • Implement Autoscale
  • Configure Autoscale
  • Interactive Lab Simulation

Module 23: Configure Azure App Service plans

  • Introduction
  • Implement Azure App Service Plans
  • Determine Azure App Service Plan Pricing
  • Scale up and Scale out Azure App Service
  • Configure Azure App Service Autoscale

Module 24: Configure Azure App Service

  • Introduction
  • Implement Azure App Service
  • Create an App with App Service
  • Explore Continuous Integration and Deployment
  • Create Deployment Slots
  • Add Deployment Slots
  • Secure your App Service App
  • Create Custom Domain Names
  • Backup and Restore your App Service App
  • Use Azure Application Insights
  • Interactive Lab Simulation

Module 25: Configure Azure Container Instances

  • Introduction
  • Compare Containers to Virtual Machines
  • Review Azure Container Instances
  • Implement Container Groups
  • Review the Docker Platform
  • Interactive Lab Simulation

Module 26: Configure File and Folder Backups

  • Introduction
  • Describe Azure Backup Benefits
  • Implement Backup Center for Azure Backup
  • Configure Azure Recovery Services Vault Backup Options
  • Use the Microsoft Azure Recovery Services (MARS) Agent
  • Configure On-Premises File and Folder Backups
  • Interactive Lab Simulation

Module 27: Configure virtual machine backups

  • Introduction
  • Explore Options to Protect Virtual Machine Data
  • Create Virtual Machine Snapshots in Azure Backup
  • Set Up Azure Recovery Services Vault Backup Options
  • Back Up your Virtual Machines
  • Restore your Virtual Machines
  • Implement System Center DPM and Azure Backup Server
  • Compare the MARS Agent and Azure Backup Server
  • Implement Soft Delete for your Virtual Machines

Module 28: Introduction

  • Describe Azure Monitor Key Capabilities
  • Describe Azure Monitor Components
  • Define Metrics and Logs
  • Identify Monitoring Data and Tiers
  • Describe Activity Log Events
  • Query the Activity Log
  • Interactive Lab Simulation

Module 29: Configure Azure Alerts

  • Introduction
  • Describe Azure Monitor Alerts
  • Manage Azure Monitor Alerts
  • Create Alert Rules
  • Create Action Groups

Module 30: Configure Log Analytics

  • Introduction
  • Determine Log Analytics Uses
  • Create a Log Analytics Workspace
  • Create Kusto (KQL) Queries
  • Structure Log Analytics Queries

Module 31: Configure Network Watcher

  • Introduction
  • Describe Azure Network Watcher Features
  • Review IP Flow Verify Diagnostics
  • Review Next Hop Diagnostics
  • Visualize the Network Topology

Show moredown

Who should attend this Microsoft Azure Administrator AZ104 Course?

The Microsoft Azure Administrator (AZ104) Course aims to provide professionals with the skill set required to manage and maintain Azure resources and services. This course can benefit various IT professionals, including:

  • IT Professionals
  • System Administrators
  • Azure Cloud Engineers
  • Network Administrators
  • Infrastructure Engineers
  • Cloud Solutions Architects
  • Cloud Administrators

Prerequisites of the Microsoft Azure Administrator AZ104 Course

The prerequisites required for the Microsoft Azure Administrator AZ104 Course are:

  • Basic understanding of the core Azure architecture and services
  • Understanding of Azure management and governance
  • Familiarity with the basic cloud concepts

Microsoft Azure Administrator MAZ104 Course Overview

This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create, and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.

 

 

Show moredown

What’s included in this Microsoft Azure Administrator AZ104 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

Microsoft Azure Architect Technologies MAZ303 Course Outline

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

Module 1: Implement Virtual Networking

  • Virtual Network Peering
  • Implement VNet Peering

Module 2: Implement VMs for Windows and Linux

  • Select Virtual Machine Size
  • Configure High Availability
  • Implement Azure Dedicated Hosts
  • Deploy and Configure Scale Sets
  • Configure Azure Disk Encryption

Module 3: Automate Deployment and Configuration of Resources

  • Azure Resource Manager Templates
  • Save a Template for a VM
  • Evaluate Location of New Resources
  • Configure a Virtual Hard Disk Template
  • Deploy from a Template
  • Create and Execute an Automation Runbook

Module 4: Implement Load Balancing and Network Security

  • Implementing  
    • Azure Load Balancer
    • An Application Gateway
    • Azure Firewall
    • Azure Front Door
    • Azure Traffic Manager
    • Network Security Groups and Application Security Groups
    • Azure Bastion
  • Understand Web Application Firewall

Lab: Implementing Highly Available Azure IaaS Compute Architecture

  • Describe Characteristics of Highly Available Azure VMs Residing in the Same Availability Set Behind
  • Describe Characteristics of Highly Available Azure VMs Residing in Different Availability Zones Behind
  • Describe Characteristics of Automatic Horizontal Scaling of Azure VM Scale Sets
  • Describe Characteristics of Manual Vertical Scaling of Azure VM Scale Sets

Module 5: Implement Storage Accounts

  • Storage Accounts
  • Blob Storage
  • Storage Security
  • Managing Storage
  • Accessing Blobs and Queues using AAD
  • Configure Azure Storage Firewalls and Virtual Networks

Module 6: Implement Azure Active Directory

  • Overview of Azure Active Directory
  • Users and Groups
  • Domains and Custom Domains
  • Azure AD Identity Protection
  • Implement Conditional Access
  • Configure Fraud Alerts for MFA
  • Implement Bypass Options
  • Configure Trusted IPs
  • Configure Guest Users in Azure AD
  • Manage Multiple Directories

Module 7: Implement and Manage Azure Governance

  • Create Management Groups, Subscriptions, and Resource Groups
  • Overview of Role-Based Access Control (RBAC)
  • Role-Based Access Control (RBAC) Roles
  • Azure AD Access Reviews
  • Implement and Configure an Azure Policy
  • Azure Blueprints

Lab: Implementing and Configuring Azure Storage File and Blob Services

  • Implement Authorisation of Azure Storage Blobs by Leveraging Shared Access Signatures
  • Implement Authorisation of Azure Storage Blobs by Leveraging Azure Active Directory
  • Implement Authorisation of Azure Storage File Shares by Leveraging Access Keys

Lab: Managing Azure Role-Based Access Control

  • Define a Custom RBAC Role
  • Assign a Custom RBAC Role

Module 8: Implement and Manage Hybrid Identities

  • Install and Configure Azure AD Connect
  • Configure Password Sync and Password Writeback
  • Configure Azure AD Connect Health

Module 9: Manage Workloads in Azure

  • Migrate Workloads using Azure Migrate
  • VMware - Agentless Migration
  • VMware - Agent-Based Migration
  • Implement Azure Backup
  • Azure to Azure Site Recovery
  • Implement Azure Update Management

Lab: Protecting Hyper-V VMs by using Azure Site Recovery

  • Configure Azure Site Recovery
  • Perform Test Failover
  • Perform Planned Failover
  • Perform Unplanned Failover

Module 10: Implement Cloud Infrastructure Monitoring

  • Azure Infrastructure Security Monitoring
  • Azure Monitor
  • Azure Workbooks
  • Azure Alerts
  • Log Analytics
  • Network Watcher
  • Azure Service Health
  • Monitor Azure Costs
  • Azure Application Insights
  • Unified Monitoring in Azure

Module 11: Manage Security for Applications

  • Azure Key Vault
  • Azure Managed Identity

Module 12: Implement an Application Infrastructure

  • Create and Configure Azure App Service
  • Create an App Service Web App for Containers
  • Create and Configure an App Service Plan
  • Configure Networking for an App Service
  • Create and Manage Deployment Slots
  • Implement Logic Apps
  • Implement Azure Functions

Lab: Configuring a Message-Based Integration Architecture

  • Configure and Validate an Azure Function App Storage Blob Trigger
  • Configure and Validate an Azure Event Grid Subscription-Based Queue Messaging

Lab: Implementing an Azure App Service Web App with a Staging Slot

  • Implement Blue/Green Deployment Pattern by using Deployment Slots of Azure App Service Web Apps
  • Perform A/B Testing by using Deployment Slots of Azure App Service Web Apps

Module 13: Implement Container-Based Applications

  • Azure Container Instances
  • Configure Azure Kubernetes Service

Module 14: Implement NoSQL Databases

  • Configure Storage Account Tables
  • Select Appropriate CosmosDB APIs

Module 15: Implement Azure SQL Databases

  • Configure Azure SQL Database Settings
  • Implement Azure SQL Database Managed Instances
  • High-Availability and Azure SQL Database

Show moredown

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

 

Who should attend this Microsoft Azure Architect Technologies MAZ303 Course?

The Microsoft Azure Architect Technologies (MAZ303) Course is geared towards equipping professionals with advanced knowledge of Azure services and solutions. It dives into the architecting, deploying, and configuring infrastructure on Microsoft Azure. This course can benefit various IT professionals, including:

  • Azure Solution Architects
  • IT Professionals
  • Cloud Strategists
  • Application Developers
  • Infrastructure Engineers
  • Cloud Solutions Architects
  • DevOps Engineers

Prerequisites of the Microsoft Azure Architect Technologies MAZ303 Course

There are no prerequisites required for the Microsoft Azure Architect Technologies MAZ303 Course however, a basic understanding of the virtual networking, Azure and networking configuration can be helpful

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

Microsoft Azure Architect Technologies MAZ303​ Course Overview

Microsoft Azure is a public cloud computing platform which offers services and solutions such as Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS). These services can be used for storing database, virtual computing, analytics, networking, storage, backup, computing, and much more. Businesses organisations often use the cloud services to save money, maintaining off-premises computing system, and storing critical data which gives them more freedom to expand their operation and focus on business improvement rather than maintaining their system. Azure Architecture Technologies helps its practitioner to scale up, develop, and support Azure services for their organisation. The demand for cloud computing services is increasing steadily in every sector and skills of working with Azure Architect Technologies will help one to improve their career prospect in multinational organisations.

This 5-day Microsoft Azure Architect Technologies course (AZ 303) will provide delegates with a thorough understanding of designing and implementing solutions running on Microsoft Azure. This course will include various topics like automation, storage, networking, identity, security, visualisation, data platform, and building a data platform. Delegates will also get comprehensive knowledge of managing IT operations like maintaining storage, role-based access control, connecting services with virtual network peering, implementing Azure firewall, installing and configuring Azure AD connect, configuring Azure SQL database, and more.

What will I learn:

  • Configure VNet Peering
  • Planning implementation of virtual machine
  • Understand Azure encryption technologies
  • Implementing shared access signatures
  • Managing Role-Based Access Control (RBAC)
  • Managed identities with Azure resources
  • Run Azure container instances
  • High-availability architectural models in Azure SQL database

At the end of this training, delegates will become capable of planning and devising business solutions on Microsoft Azure. They will gain skills including securing Azure active directories, managing subscriptions, accounts and Azure policies, administering Azure using resource manager, cloud shell, Command Line Interface (CLI), and administering Azure app service.

The Knowledge Academy offers delegates a practical learning approach towards Azure Architect Technologies and our experienced and highly skilled trainers will be guiding the delegates throughout the course.     

Show moredown

What’s included in this Microsoft Azure Architect Technologies MAZ303 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Microsoft Azure Data Fundamentals DP900 Course Outline

Within his Microsoft training course, you will learn the following modules:

Module 1: Explore Core Data Concepts

  • Introduction
  • Identify Data Formats
  • Explore File Storage
  • Explore Databases
  • Explore Transactional Data Processing
  • Explore Analytical Data Processing

Module 2: Explore Data Roles and Services

  • Introduction
  • Explore Job Roles in the World of Data
  • Identify Data Services

Module 3: Explore Fundamental Relational Data Concepts

  • Introduction
  • Understand Relational Data
  • Understand Normalisation
  • Explore SQL
  • Describe Database Objects

Module 4: Explore Relational Database Services in Azure

  • Introduction
  • Describe Azure SQL Services and Capabilities
  • Describe Azure Services for Open-Source Databases
  • Exercise: Explore Azure Relational Database Services

Module 5: Explore Azure Storage for Non-Relational Data

  • Introduction
  • Explore Azure Blob Storage
  • Explore Azure DataLake Storage Gen2
  • Explore Azure Files
  • Explore Azure Tables
  • Exercise: Explore Azure Storage

Module 6: Explore Fundamentals of Azure Cosmos DB

  • Introduction
  • Describe Azure Cosmos DB
  • Identify Azure Cosmos DB APIs
  • Exercise: Explore Azure Cosmos DB

Module 7: Explore Fundamentals of Large-Scale Data Warehousing

  • Introduction
  • Describe Data Warehousing Architecture
  • Explore Data Ingestion Pipelines
  • Explore Analytical Data Stores
  • Exercise: Explore Data Analytics in Azure with Azure Synapse Analytics

Module 8: Explore Fundamentals of Real-Time Analytics

  • Introduction
  • Understand Batch and Stream Processing
  • Explore Common Elements of Stream Processing Architecture
  • Explore Azure Stream Analytics
  • Exercise: Explore Azure Stream Analytics
  • Explore Apache Spark on Microsoft Azure
  • Exercise: Explore Spark Streaming in Azure Synapse Analytics

Module 9: Explore Fundamentals of Data Visualisation

  • Introduction
  • Understand Batch and Stream Processing
  • Explore Common Elements of Stream Processing Architecture
  • Explore Azure Stream Analytics
  • Exercise: Explore Azure Stream Analytics
  • Explore Apache Spark on Microsoft Azure
  • Exercise: Explore Spark Streaming in Azure Synapse Analytics

Show moredown

Who should attend this Microsoft Azure Data Fundamentals DP900 Course?

The Microsoft Azure Data Fundamentals DP900 Course is designed for individuals who want to gain a foundational understanding of data-related concepts and services within the Microsoft Azure cloud platform. This course will benefit the following professionals:

  • Data Analysts
  • Data Engineers
  • Database Administrators
  • Business Intelligence (BI) Professionals
  • Developers
  • Technical Consultants
  • Solution Architects

Prerequisites of the Microsoft Azure Data Fundamentals DP900 Course

There are no formal prerequisites for this Microsoft Azure Data Fundamentals DP900 Course. However, some basic awareness of computing and internet concepts will be beneficial.

Microsoft Azure Data Fundamentals DP900 Course Overview

In this course, learners will gain foundational knowledge of core data concepts and related Microsoft Azure data services. They will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Learners will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Learners will learn about large-scale data warehousing, real-time analytics, and data visualization.

Course objectives:

  • Describe core data concepts.
  • Identify considerations for relational data on Azure.
  • Describe considerations for working with non-relational data on Azure.
  • Describe an analytics workload on Azure.

Show moredown

What’s included in this Microsoft Azure Data Fundamentals DP900 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Microsoft Azure IoT Developer AZ220 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Introduction to IoT and Azure IoT Services

In this module, students will begin by examining the business considerations for various IoT implementations and reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of the Azure services commonly used in an IoT solution and introduces the Azure portal.

Lessons

  • Introduction to IoT Solution Architecture
  • IoT Hardware and Cloud Services
  • Lab Scenarios for this Course

Lab: Getting Started with Azure

Lab: Setting Started with Azure IoT Services

After completing this module, students will be able to:

  • Explain how IoT and Azure IoT could be applied to their business
  • Describe the core components of an Azure IoT Solution Architecture
  • Describe the Azure IoT Services and how they relate to an IoT solution
  • Create an Azure account and use the Azure portal to create an IoT Hub and DPS service

Module 2: Devices and Device Communication

In this module, students will take a closer look at the Azure IoT Hub service and will learn how to configure secure two-way communication between IoT hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints that will be explored in more depth as the course continues.

Lessons

  • IoT Hub Concepts
  • IoT Device Lifecycle Concepts
  • IoT Developer Tools
  • Device Configuration and Communication

Lab: Connect IoT Device to Azure

Lab: Setup the Development Environment

After completing this module, students will be able to:

  • Explain the core features of the IoT Hub services
  • Describe the lifecycle of an Azure IoT device
  • Describe how IoT Hub manages device identities and implements other security features
  • Register devices with the IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code
  • Implement the IoT Hub Device and Service SDKs

Module 3: Device Provisioning at Scale

In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service. Students will learn about the enrollment process, auto provisioning and re-provisioning, disenrollment, and how to implement various attestation mechanisms.

Lessons

  • Device Provisioning Service Terms and Concepts
  • Configure and Manage the Device Provisioning Service
  • Device Provisioning Tasks

Lab: Individual Enrollment of Devices in DPS

Lab: Automatic Enrollment of Devices in DPS

After completing this module, students will be able to:

  • Explain the process of device provisioning and the features of the Device Provisioning Service
  • Explain the security considerations associated with device provisioning and how they are managed
  • Implement the Device Provisioning Service SDKs
  • Manage the device enrollment process, including deprovisioning and disenrollment

Module 4: Message Processing and Analytics

In this module, students will examine how IoT Hub and other Azure services can be used to process messages. Students will begin with an investigation of how to configure message and event routing and how to implement routing to built-in and custom endpoints. Students will learn about some of the Azure storage options that are common for IoT solutions. To round out his module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.

Lessons

  • Messages and Message Processing
  • Additional Considerations for IoT Hub Messaging
  • Data Storage and the Lambda Architecture
  • Azure Functions and Stream Analytics

Lab: Device Message Routing

After completing this module, students will be able to:

  • Configure message and event routing
  • Route data to the built-in and custom endpoints
  • Implement message enrichment
  • Implement Azure Stream Analytics Inputs, Queries, and Outputs
  • Store message data in a warm storage for historical purposes and additional analysis
  • Use an Azure Function within a message processing and analytics solution

Module 5: Insights and Business Integration

In this module, students will learn about the Azure services and other Microsoft tools that can be used to generate business insights and enable business integration. Students will implement Azure Logic Apps and Event Grid, and they will configure the connection and data transformations for data visualization tools such as Time Series Insights and Power BI.

Lessons

  • Business Integration for IoT Solutions
  • Data Visualization with Time Series Insights
  • Data Visualization with Power BI

Lab: Integrate IoT Hub with Event Grid

Lab: Explore and Analyze Time Stamped Data with Time Series Insights

After completing this module, students will be able to:

  • Explain the options for business integration within an IoT solution and how to achieve them
  • Develop business integration support using Logic Apps and Event Grid
  • Configure IoT Data for Visualization in Time Series Insights
  • Describe Data Visualization with Power BI

Module 6: Azure IoT Edge Deployment Process

In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to configure and use an IoT Edge device as a gateway device.

Lessons

  • Introduction to Azure IoT Edge
  • Edge Deployment Process
  • Edge Gateway Devices

Lab: Implement an IoT Edge gateway

Lab: Introduction to IoT Edge Deployments

After completing this module, students will be able to:

  • Describe the difference between an IoT device and an IoT Edge device
  • Configure an IoT Edge device
  • Implement an IoT Edge deployment using a deployment manifest
  • Configure an IoT Edge device as a gateway device

Module 7: Azure IoT Edge Modules and Containers

In this module, students will develop and deploy custom edge modules, and will implement support for an offline scenario that relies on local storage. Students will use Visual Studio Code to build custom modules as containers using a supported container engine.

Lessons

  • Develop Custom Edge Modules
  • Offline and Local Storage

Lab: Create and Deploy a Custom Edge Module

Lab: Implement Restricted Network and Offline Scenarios for IoT Edge

After completing this module, students will be able to:

  • Explain the requirements for building a custom edge module
  • Configure Visual Studio Code for developing containerized modules
  • Deploy a custom module to an IoT Edge device
  • Implement local storage on an IoT Edge device in support of an offline scenario

Module 8: Device Management

In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use devoice twins and solutions that use direct methods.

Lessons

  • Introduction to IoT Device Management
  • Manage IoT and IoT Edge Devices
  • Device Management at Scale

Lab: Implement Automatic Device Management

Lab: Manage Devices using Device Twins and Direct Methods

After completing this module, students will be able to:

  • Describe the most common device management patterns and configuration best practices
  • Describe when and how to use device twins and direct methods to implement device management
  • Implement device management for various patterns using device twins and direct methods
  • Implement device management at scale using automatic device management and jobs

Module 9: Solution Testing, Diagnostics, and Logging

In this module, students will configure logging and diagnostic tools that help developers to test their IoT solution. Students will use IoT Hub and Azure Monitor to configure alerts and track conditions such as device connection state that can be used to troubleshoot issues.

Lessons

  • Monitoring and Logging
  • Troubleshooting

Lab: Configure IoT Hub Monitoring

After completing this module, students will be able to:

  • Describe the options for monitoring and logging an Azure IoT solution
  • Configure Azure Monitor to support of an IoT solution
  • Configure IoT Hub Metrics to support of an IoT solution
  • Implement diagnostics logging
  • Troubleshoot IoT device connection and communication issues

Module 10: Microsoft Defender for IoT and IoT Security Considerations

In this module, students will examine the security considerations that apply to an IoT solution. Students will begin by investigating security as it applies to the solution architecture and best practices, and then look at how Microsoft Defender for IoT supports device deployment and IoT Hub integration. Students then use Microsoft Defender for IoT Agents to enhance the security of their solution.

Lessons

  • Security Fundamentals for IoT Solutions
  • Introduction to Microsoft Defender for IoT
  • Enhance Protection with Microsoft Defender for IoT Agents

Lab: Implementing Microsoft Defender for IoT

After completing this module, students will be able to:

  • Describe security concerns and best practices for an IoT solution
  • Describe the Azure IoT Security Architecture and Threat Modeling
  • Describe the features and support provided by Microsoft Defender for IoT
  • Configure Security Agents and Security Module Twins
  • Aggregate Microsoft Defender for IoT Events

Module 11: Develop with Azure Digital Twins

In this module, students will examine the concepts of an Azure Digital Twins solution and take their first steps toward implementing Azure Digital Twins. Students will begin by investigating the concepts behind the Azure Digital Twins service and an Azure Digital Twins solution, followed by an introduction to the development tools that can be used to build and monitor an Azure Digital Twins solution. Students will then use the development tools to create custom models, build and query an Azure Digital Twins environment graph, ingest IoT device telemetry, and implement business logic and data processing.

Lessons

  • Introduction to Azure Digital Twins
  • Introduction to ADT solution development
  • Monitor and troubleshoot ADT

Lab: Develop Azure Digital Twins solutions

After completing this module, students will be able to:

  • Describe the components of an Azure Digital Twins solution
  • Explain how to create and configure an Azure Digital Twins instance
  • Explain how to create, query, and manage the Azure Digital Twins graph
  • Explain how to ingest Azure Digital data from IoT hub and implement support for downstream services
  • Describe how to monitor and troubleshoot Azure Digital Twins

Module 12: Build an IoT Solution with IoT Central

In this module, students will learn how configure and implement Azure IoT Central as a SaaS solution for IoT. Students will begin with a high-level investigation of IoT Central and how it works. With a basic understanding of IoT central establish, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.

Lessons

  • Introduction to IoT Central
  • Create and Manage Device Templates
  • Manage Devices in Azure IoT Central
  • Business Integration and Data Analysis

After completing this module, students will be able to:

  • Describe the difference between Azure IoT Central and the Azure IoT PaaS services
  • Describe the features provided by Azure IoT Central
  • Describe the purpose and components of a Device Template
  • Create and publish a Device Template
  • Manage devices using rules and notifications
  • Mange devices at scale using jobs

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Who should attend this Microsoft Azure IoT Developer AZ220 Training Course?

The Microsoft Azure IoT Developer AZ220 Course is designed for individuals who want to develop skills in designing, building, and deploying Internet of Things (IoT) solutions using Microsoft Azure's IoT services and tools. This course will benefit the following professionals:

  • IoT Developers
  • Software Engineers
  • Embedded Systems Engineers
  • Cloud Developers
  • Solution Architects
  • Technical Consultants
  • System Integrators

Prerequisites of the Microsoft Azure IoT Developer AZ220 Training Course

To attend this Microsoft Azure IoT Developer Training Course, delegates should hold a basic understanding of PaaS, SaaS, and IaaS implementations. We also recommend Microsoft Azure Fundamentals (AZ-900), or equivalent skills.

Microsoft Azure IoT Developer AZ220 Course Overview

Microsoft Azure is a set of cloud services developed by Microsoft, which allows a developer to build, manage, and deploy applications as well as services on a huge network, using numerous frameworks and tools. Azure supports multiple programming languages such as Java, Node Js, and C#. IoT developer mainly focuses on devolving software, which can allow products to function and connect with other devices. Holding comprehensive knowledge and skills of Microsoft Azure IoT Development will help individuals to get their desired job post as well as for more career advancement.

This 4-days Microsoft Azure IoT Developer training course is aimed to provide delegates with the full understanding of the core Azure IoT services such as Azure Stream Analytics, IoT Hub, time series insights, device provisioning services, etc. During this training course, delegates will be taught about device provisioning at scale, processing and analytics of messages, business integration and insights, Azure IoT edge deployment process, device management of IoT, and more. They will also work on various labs to gain in-depth practical knowledge and skills.

After completing this course, delegates will be able to:

  • Create an Azure account to create a DPS service and IoT Hub using Azure portal
  • Describe Azure IoT device lifecycle
  • Device provisioning tasks
  • Implement the device provisioning service SDKs
  • Aggregate Azure security center for IoT events
  • Manage devices at scale using jobs, and more.

Attaining this course will enable delegates to master proficiency which includes creating, configuring, and managing Azure IoT hub, provision devices using DPS and IoT Hub, implementing message processing, and more. It will make them expert for dealing with real-time organisational tasks.

The Knowledge Academy’s Microsoft Azure IoT Developer training course demonstrates the delegates all the required skills for developing software to allow products to function and connect with other devices.

Show moredown

What’s included in this Microsoft Azure IoT Developer AZ220 Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Data Engineering on Microsoft Azure DP203 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Introduction to Data Engineering on Azure

  • Introduction
  • What Is Data Engineering?
  • Important Data Engineering Concepts
  • Data Engineering in Microsoft Azure

Module 2: Introduction to Azure Data Lake Storage Gen2

  • Introduction
  • Understand Azure Data Lake Storage Gen2
  • Enable Azure Data Lake Storage Gen2 in Azure Storage
  • Compare Azure Data Lake Store to Azure Blob Storage
  • Understand the Stages for Processing Big Data
  • Use Azure Data Lake Storage Gen2 in Data Analytics Workloads

Module 3: Introduction to Azure Synapse Analytics

  • Introduction
  • What is Azure Synapse Analytics?
  • How Azure Synapse Analytics Works?
  • When to Use Azure Synapse Analytics?
  • Exercise: Explore Azure Synapse Analytics

Module 4: Use Azure Synapse Serverless SQL Pool to Query Files in a Data Lake

  • Introduction
  • Understand Azure Synapse Serverless SQL Pool Capabilities and Use Cases
  • Query Files Using a Serverless SQL Pool
  • Create External Database Objects
  • Exercise: Query Files Using a Serverless SQL Pool

Module 5: Use Azure Synapse Serverless SQL Pools to Transform Data in a Data Lake

  • Introduction
  • Transform Data Files with the CREATE EXTERNAL TABLE AS SELECT Statement
  • Encapsulate Data Transformations in a Stored Procedure
  • Include a Data Transformation Stored Procedure in a Pipeline
  • Exercise: Transform Files Using a Serverless SQL Pool

Module 6: Create a Lake Database in Azure Synapse Analytics

  • Introduction
  • Understand Lake Database Concepts
  • Explore Database Templates
  • Create a Lake Database
  • Use a Lake Database
  • Exercise: Analyse Data in a Lake Database

Module 7: Analyse Data with Apache Spark in Azure Synapse Analytics

  • Introduction
  • Get to Know Apache Spark
  • Use Spark in Azure Synapse Analytics
  • Analyse Data with Spark
  • Visualise Data with Spark
  • Exercise: Analyse Data with Spark

Module 8: Transform Data with Spark in Azure Synapse Analytics

  • Introduction
  • Modify and Save Dataframes
  • Partition Data Files
  • Transform Data with SQL
  • Exercise: Transform Data with Spark in Azure Synapse Analytics

Module 9: Use Delta Lake in Azure Synapse Analytics

  • Introduction
  • Understand Delta Lake
  • Create Delta Lake Tables
  • Create Catalog Tables
  • Use Delta Lake with Streaming Data
  • Use Delta Lake in a SQL Pool
  • Exercise: Use Delta Lake in Azure Synapse Analytics

Module 10: Analyse Data in a Relational Data Warehouse

  • Introduction
  • Design a Data Warehouse Schema
  • Create Data Warehouse Tables
  • Load Data Warehouse Tables
  • Query a Data Warehouse
  • Exercise: Explore a Data Warehouse

Module 11: Load Data into a Relational Data Warehouse

  • Introduction
  • Load Staging Tables
  • Load Dimension Tables
  • Load Time Dimension Tables
  • Load Slowly Changing Dimensions
  • Load Fact Tables
  • Perform Post-Load Optimisation
  • Exercise: Load Data into a Relational Data Warehouse

Module 12: Build a Data Pipeline in Azure Synapse Analytics

  • Introduction
  • Understand Pipelines in Azure Synapse Analytics
  • Create a Pipeline in Azure Synapse Studio
  • Define Data Flows
  • Run a Pipeline
  • Exercise: Build a Data Pipeline in Azure Synapse Analytics

Module 13: Use Spark Notebooks in an Azure Synapse Pipeline

  • Introduction
  • Understand Synapse Notebooks and Pipelines
  • Use a Synapse Notebook Activity in a Pipeline
  • Use Parameters in a Notebook
  • Exercise: Use an Apache Spark Notebook in a Pipeline

Module 14: Plan Hybrid Transactional and Analytical Processing Using Azure Synapse Analytics

  • Introduction
  • Understand Hybrid Transactional and Analytical Processing Patterns
  • Describe Azure Synapse Link

Module 15: Implement Azure Synapse Link with Azure Cosmos DB

  • Introduction
  • Enable Cosmos DB Account to Use Azure Synapse Link
  • Create an Analytical Store Enabled Container
  • Create a Linked Service for Cosmos DB
  • Query Cosmos DB Data with Spark
  • Query Cosmos DB with Synapse SQL
  • Exercise: Implement Azure Synapse Link for Cosmos DB

Module 16: Implement Azure Synapse Link for SQL

  • Introduction
  • What Is Azure Synapse Link for SQL?
  • Configure Azure Synapse Link for Azure SQL Database
  • Configure Azure Synapse Link for SQL Server 2022
  • Exercise: Implement Azure Synapse Link for SQL

Module 17: Get Started with Azure Stream Analytics

  • Introduction
  • Understand Data Streams
  • Understand Event Processing
  • Understand Window Functions
  • Exercise: Get Started with Azure Stream Analytics

Module 18: Ingest Streaming Data Using Azure Stream Analytics and Azure Synapse Analytics

  • Introduction
  • Stream Ingestion Scenarios
  • Configure Inputs and Outputs
  • Define a Query to Select, Filter, and Aggregate Data
  • Run a Job to Ingest Data
  • Exercise: Ingest Streaming Data into Azure Synapse Analytics

Module 19: Visualize Real-Time Data with Azure Stream Analytics and Power BI

  • Introduction
  • Use a Power BI Output in Azure Stream Analytics
  • Create a Query for Real-Time Visualization
  • Create Real-Time Data Visualizations in Power BI
  • Exercise: Create a Real-Time Data Visualization

Module 20: Introduction to Microsoft Purview

  • Introduction
  • What Is Microsoft Purview?
  • How Microsoft Purview Works?
  • When to Use Microsoft Purview?

Module 21: Integrate Microsoft Purview and Azure Synapse Analytics

  • Introduction
  • Catalog Azure Synapse Analytics Data Assets in Microsoft Purview
  • Connect Microsoft Purview to an Azure Synapse Analytics Workspace
  • Search a Purview Catalog in Synapse Studio
  • Track Data Lineage in Pipelines
  • Exercise: Integrate Azure Synapse Analytics and Microsoft Purview

Module 22: Explore Azure Databricks

  • Introduction
  • Get Started with Azure Databricks
  • Identify Azure Databricks Workloads
  • Understand Key Concepts
  • Exercise: Explore Azure Databricks

Module 23: Use Apache Spark in Azure Databricks

  • Introduction
  • Get to Know Spark
  • Create a Spark Cluster
  • Use Spark in Notebooks
  • Use Spark to Work with Data Files
  • Visualise Data
  • Exercise: Use Spark in Azure Databricks

Module 24: Run Azure Databricks Notebooks with Azure Data Factory

  • Introduction
  • Understand Azure Databricks Notebooks and Pipelines
  • Create a Linked Service for Azure Databricks
  • Use a Notebook Activity in a Pipeline
  • Use Parameters in a Notebook
  • Exercise: Run an Azure Databricks Notebook with Azure Data Factory

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Who should attend this Data Engineering on Microsoft Azure DP203 Training Course?

The Data Engineering on Microsoft Azure DP203 Training Course is designed for individuals who want to learn how to design and implement data solutions using Microsoft Azure's data engineering services and tools. This course will benefit the following professionals:

  • Data Engineers
  • Database Administrators
  • Data Integration Specialists
  • Data Architects
  • Database Developers
  • Technical Consultants
  • BI (Business Intelligence) Developers

Prerequisites of the Data Engineering on Microsoft Azure DP203 Training Course

Knowledge of cloud computing, core data concepts and professional experience with data solutions is essential. Specifically completing:

  • AZ-900 - Azure Fundamentals.
  • DP-900 - Microsoft Azure Data Fundamentals.

Data Engineering on Microsoft Azure DP203 Course Overview

In this course, the student will learn about the data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how to create a real-time analytical system to create real-time analytical solutions.

What you will gain from taking this Microsoft training course:

  • Explore compute and storage options for data engineering workloads in Azure.
  • Run interactive queries using serverless SQL pools.
  • Perform data Exploration and Transformation in Azure Databricks.
  • Explore, transform, and load data into the Data Warehouse using Apache Spark.
  • Ingest and load Data into the Data Warehouse.
  • Transform Data with Azure Data Factory or Azure Synapse Pipelines.
  • Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines.
  • Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link.
  • Perform end-to-end security with Azure Synapse Analytics.
  • Perform real-time Stream Processing with Stream Analytics.
  • Create a Stream Processing Solution with Event Hubs and Azure Databricks.

Show moredown

What’s included in this Data Engineering on Microsoft Azure DP203 Training Course?

  • World-Class Training Sessions from Experienced Instructors  
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Microsoft Azure AI Fundamentals AI900 Course Outline

Within this Microsoft Azure Training course, you will learn the following modules:

Module 1: Get Started with AI on Azure

  • Introduction to AI
  • Understand Machine Learning
  • Understand Anomaly Detection
  • Understand Computer Vision
  • Understand Natural Language Processing
  • Understand Knowledge Mining
  • Challenges and Risks with AI
  • Understand Responsible AI

Module 2: Use Automated Machine Learning in Azure Machine Learning

  • Introduction
  • What is Machine Learning?
  • What is Azure Machine Learning Studio?
  • What is Azure Automated Machine Learning?
  • Understand the AutoML Process
  • Exercise - Explore Automated Machine Learning in Azure Machine Learning

Module 3: Create a Regression Model with Azure Machine Learning Designer

  • Introduction
  • Identify Regression Machine Learning Scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning Designer?
  • Understand Steps for Regression
  • Exercise - Explore regression with Azure Machine Learning Designer

Module 4: Create a Classification model with Azure Machine Learning Designer

  • Introduction
  • Identify Classification Machine Learning Scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning Designer?
  • Understand Steps for Classification
  • Exercise - Explore Classification with Azure Machine Learning designer

Module 5: Create a Clustering Model with Azure Machine Learning Designer

  • Introduction
  • Identify Clustering Machine Learning Scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning Designer?
  • Understand Steps for Clustering
  • Exercise - Explore Clustering with Azure Machine Learning Designer

Module 6: Analyse Images with Azure AI Vision

  • Introduction
  • Get Started with Image Analysis on Azure
  • Exercise - Explore Computer Vision

Module 7: Classify Images with Azure AI Custom Vision

  • Introduction
  • Understand Classification
  • Get started with Image Classification on Azure
  • Exercise - Explore Image Classification

Module 8: Detect Objects in Images with Azure AI Custom Vision

  • Introduction
  • What is Object Detection?
  • Get Started with Object Detection on Azure
  • Exercise - Explore Object Detection

Module 9: Detect and Analyse Faces with Azure AI Face

  • Introduction
  • Get Started with Face Analysis on Azure
  • Exercise - Explore Face Detection

Module 10: Read Text with Azure AI Computer Vision

  • Introduction
  • Get Started with the Read API on Azure
  • Exercise - Explore Optical Character Recognition with the Read API

Module 11: Analyse Receipts with Azure AI Document Intelligence

  • Introduction
  • Get Started with Receipt Analysis on Azure
  • Exercise - Explore form Recognition

Module 12: Analyse Text with Azure AI Language

  • Introduction
  • Get Started with Receipt Analysis on Azure
  • Exercise - Explore form Recognition

Module 13: Recognise and Synthesize Speech with Azure AI Speech

  • Introduction
  • Get Started with Receipt Analysis on Azure
  • Exercise - Explore form Recognition

Module 14: Translate Text and speech with Azure AI services

  • Introduction
  • Get Started with Translation in Azure
  • Exercise - Explore Translation

Module 15: Create a Language Model with Azure AI Language

  • Introduction
  • Get Started with Conversational Language Understanding
  • Exercise - Explore Language Understanding

Module 16: Build a Bot with Azure AI Language and Azure AI Bot Service

  • Introduction
  • Get Started with the Language Service and Azure Bot Service
  • Exercise - Explore Question Answering

Show moredown

Who should attend this Microsoft Azure AI Fundamentals AI900 Training Course?

The Microsoft Azure AI Fundamentals AI900 Training Course is designed for individuals who want to gain a foundational understanding of artificial intelligence (AI) concepts and how AI is implemented using Microsoft Azure services. A variety of professionals can benefit from this course, such as:

  • Data Analysts
  • Developers
  • Business Analysts
  • Technical Consultants
  • Solution Architects
  • IT Professionals
  • Professionals Exploring AI Opportunities

Prerequisites of the Microsoft Azure AI Fundamentals AI900 Training Course

There are no formal prerequisites for this Microsoft Azure AI Fundamentals AI900 Training Course. However, having the following knowledge could be beneficial:

  • Basic Understanding of Cloud Concepts
  • General IT Knowledge
  • Interest in AI and Machine Learning

Microsoft Azure AI Fundamentals AI900​ Course Overview

Microsoft Azure is a growing collection of cloud services to support organisations to meet their market challenges. It facilitates to maintain and use applications on an extensive global network by utilising their frameworks and tools. Artificial Intelligence is a computing system that improves with experience. AI can also be defined as a method of converting data into the software. Microsoft Azure Artificial Intelligence (AI) is a service that a developer can utilise to create predictive analytics models and then quickly use those models for consumption as cloud web services. The Microsoft Azure AI Fundamentals is one of the most demanded training programs broadly used by organisations who want to train their employees for the fundamental concepts of AI (Artificial intelligence), ML (Machine Learning) and related Azure services.

In this 1-day Microsoft Azure AI Fundamentals AI900 Training course, delegates will gain knowledge about necessary uses of AI (Artificial Intelligence) and the various kinds of the workload associated with AI. Delegates will get to know about some fundamental machine learning concepts, and how to utilise the Azure Machine Learning service to design and issue machine learning models. They will become familiar with the features of computer vision workloads on Azure. Our expert trainers of The Knowledge Academy, who have years of experience in this field, will teach this course.

Course Objectives:

  • Artificial intelligence in Azure
  • Azure machine learning
  • Computer vision concepts
  • Conversational AI
  • Natural Language Processing (NLP)

Show moredown

What’s included in this Microsoft Azure AI Fundamentals AI900 Training Course?

  • World-Class Training Sessions from Experienced Instructors   
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Designing Microsoft Azure Infrastructure Solutions AZ305 Course Outline

Module 1: Design Governance

  • Introduction
  • Design for Governance
  • Design for Management Groups
  • Design for Subscriptions
  • Design for Resource Groups
  • Design for Resource Tags
  • Design for Azure Policy
  • Design for Role-Based Access Control (RBAC)
  • Design for Azure Blueprints
  • Design for Landing Zones

Module 2: Design an Azure Compute Solution

  • Introduction
  • Choose an Azure Compute Service
  • Design for Azure Virtual Machines Solutions
  • Design for Azure Batch Solutions
  • Design for Azure App Service Solutions
  • Design for Azure Container Instances Solutions
  • Design for Azure Kubernetes Service Solutions
  • Design for Azure Functions Solutions
  • Design for Azure Logic Apps Solutions

Module 3: Design a Data Storage Solution for Non-Relational Data

  • Introduction
  • Design for Data Storage
  • Design for Azure Storage Accounts
  • Design for Data Redundancy
  • Design for Azure Blob Storage
  • Design for Azure Files
  • Design for Azure Managed Disks
  • Design for Storage Security

Module 4: Design a Data Storage Solution for Relational Data

  • Introduction
  • Design for Azure SQL Database
  • Design for Azure SQL Managed Instance
  • Design for SQL Server on Azure Virtual Machines
  • Recommend a Solution for Database Scalability
  • Recommend a Solution for Database Availability
  • Design Security for Data at Rest, Data in Motion, and Data in Use
  • Design for Azure SQL Edge
  • Design for Azure Cosmos DB and Table Storage

Module 5: Design Data Integration

  • Introduction
  • Design a Data Integration Solution with Azure Data Factory
  • Design a Data Integration Solution with Azure Data Lake
  • Design a Data Integration and Analytic Solution with Azure Databricks
  • Design a Data Integration and Analytic Solution with Azure Synapse Analytics
  • Design Strategies for Hot, Warm, and Cold Data Paths
  • Design an Azure Stream Analytics Solution for Data Analysis

Module 6: Design an Application Architecture

  • Introduction
  • Describe Message and Event Scenarios
  • Design a Messaging Solution
  • Design an Azure Event Hubs Messaging Solution
  • Design an Event-Driven Solution
  • Design a Caching Solution
  • Design API Integration
  • Design an Automated App Deployment Solution
  • Design an App Configuration Management Solution

Module 7: Design Authentication and Authorisation Solutions

  • Introduction
  • Design for Identity and Access Management (IAM)
  • Design for Azure Active Directory
  • Design for Azure Active Directory Business-to-Business (B2B)
  • Design for Azure Active Directory B2C (Business-to-Customer)
  • Design for Conditional Access
  • Design for Identity Protection
  • Design for Access Reviews
  • Design Service Principals for Applications
  • Design Managed Identities
  • Design for Azure Key Vault

Module 8: Design a Solution to Log and Monitor Azure Resources

  • Introduction
  • Design for Azure Monitor Data Sources
  • Design for Azure Monitor Logs (Log Analytics) Workspaces
  • Design for Azure Workbooks and Azure Insights
  • Design for Azure Data Explorer

Module 9: Design Network Solutions

  • Introduction
  • Recommend a Network Architecture Solution Based on Workload Requirements
  • Design for On-Premises Connectivity to Azure Virtual Network
  • Design Patterns for Azure Network Connectivity Services
  • Design Outbound Connectivity and Routing
  • Choose an Application Delivery Service
  • Design for Application Delivery Services
  • Design for Application Protection Services

Module 10: Design a Solution for Backup and Disaster Recovery

  • Introduction
  • Design for Backup and Recovery
  • Design for Azure Backup
  • Design for Azure Blob Backup and Recovery
  • Design for Azure Files Backup and Recovery
  • Design for Azure Virtual Machine Backup and Recovery
  • Design for Azure SQL Backup and Recovery
  • Design for Azure Site Recovery

Module 11: Design Migrations

  • Introduction
  • Evaluate Migration with the Cloud Adoption Framework
  • Describe the Azure Migration Framework
  • Assess Your On-Premises Workloads
  • Select a Migration Tool
  • Migrate Your Structured Data in Databases
  • Select an Online Storage Migration Tool for Unstructured Data
  • Migrate Offline Data

Module 12: Build Great Solutions with the Microsoft Azure Well-Architected Framework

  • Introduction to the Microsoft Azure Well-Architected Framework
    • Introduction
    • Azure Well-Architected Framework Pillars
    • Cost Optimisation
    • Operational Excellence
    • Performance Efficiency
    • Reliability
    • Security
  • Microsoft Azure Well-Architected Framework - Cost Optimisation
    • Introduction
    • Plan and Estimate Your Azure Costs
    • Provision with Optimization
    • Use Monitoring and Analytics to Gain Cost Insights
    • Maximise Efficiency of Cloud Spend
  • Microsoft Azure Well-Architected Framework - Operational Excellence
    • Introduction
    • Design, Build, and Orchestrate with Modern Practices
    • Use Monitoring and Analytics to Gain Operational Insights
    • Use Automation to Reduce Effort and Error
    • Testing Strategies for Your Application
  • Microsoft Azure Well-Architected Framework - Performance Efficiency
    • Introduction
    • Use Scaling Up and Scaling Out in Your Architecture
    • Optimise Network Performance
    • Optimise Storage Performance
    • Identify Performance Bottlenecks in Your Application
  • Microsoft Azure Well-Architected Framework – Reliability
    • Introduction
    • High Availability
    • Disaster Recovery
    • Processes for Backup and Restore
  • Microsoft Azure Well-Architected Framework – Security
    • Introduction
    • Defense in Depth
    • Identity Management
    • Infrastructure Protection
    • Encryption
    • Network Security
    • Application Security

Module 13: Accelerate Cloud Adoption with the Microsoft Cloud Adoption Framework for Azure

  • Getting Started with the Microsoft Cloud Adoption Framework for Azure
    • Introduction
    • Customer Narrative
    • Common Blockers
  • Prepare for Successful Cloud Adoption with a Well-Defined Strategy
    • Introduction
    • Customer Narrative
    • Capture Strategic Motivation
    • Define Objectives and Key Results
    • Evaluate Financial Considerations
    • Understand Technical Considerations
    • Create a Business Case
  • Prepare for Cloud Adoption with a Data-Driven Plan
    • Introduction
    • Customer Narrative
    • Exercise - Deploy Your First Cloud Adoption Plan
    • Exercise - Assess Your Digital Estate
    • Exercise - Customise Your Cloud Adoption Plan
  • Choose the Best Azure Landing Zone to Support Your Requirements for Cloud Operations
    • Introduction
    • Customer Narrative
    • Common Operating Models
    • Design Areas for Azure Landing Zones
    • Design Principles for Azure Landing Zones
    • Journey to the Target Architecture
    • Choose an Azure Landing Zone Option
    • Deploy the Azure Landing Zone Accelerator
    • Enhance Your Landing Zone
  • Migrate to Azure Through Repeatable Processes and Common Tools
    • Introduction
    • Customer Narrative
    • Migration Process
    • Migration Tools
    • Common Tech Platforms
    • Exercise - Server Migration
  • Address Tangible Risks with the Govern Methodology of the Cloud Adoption Framework for Azure
    • Introduction
    • Customer Narrative
    • Govern Methodology
    • Corporate Policies
    • Governance Disciplines
    • Deploy a Cloud Governance Foundation
    • Cost Management Discipline
  • Ensure Stable Operations and Optimization Across All Supported Workloads Deployed to the Cloud
    • Introduction
    • Establish Business Commitments
    • Deploy an Operations Baseline
    • Protect and Recover
    • Enhance an Operations Baseline
    • Manage Platform and Workload Specialisation
  • Innovate Applications by Using Azure Cloud Technologies
    • Introduction
    • Follow the Innovation Lifecycle
    • Azure Technologies for the Build Process
    • Infuse Your Applications with AI
    • Azure Technologies for Measuring Business Impact
    • Azure Technologies for the Learn Process
  • Prepare for Cloud Security by Using the Microsoft Cloud Adoption Framework for Azure
    • Introduction
    • Customer Narrative
    • Methodology
    • Security Roles and Responsibilities
    • Simplify Compliance and Security
    • Simplify Security Implementation
    • Security Tools and Policies

Show moredown

Who should attend this Designing Microsoft Azure Infrastructure Solutions AZ305 Training Course?

The Designing Microsoft Azure Infrastructure Solutions AZ305 Training Cours is designed for individuals who want to learn how to design and implement solutions for Microsoft Azure infrastructure services. A variety of professionals can benefit from this course, such as:

  • Cloud Architects
  • Cloud Engineers
  • Infrastructure Managers
  • DevOps Engineers
  • System Administrators
  • Solution Architects
  • Technical Consultants

Prerequisites of the Designing Microsoft Azure Infrastructure Solutions AZ305 Training Course

Before attending this course, participants must have previous experience deploying or administering Azure resources and strong conceptual knowledge of:

  • Azure Active Directory.
  • Azure compute technologies such as VMs, containers and serverless solutions.
  • Azure virtual networking to include load balancers.

Designing Microsoft Azure Infrastructure Solutions AZ305 Course Overview

This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.

What will you gain from taking this Microsoft training course:

  • Design a governance solution.
  • Design a compute solution.
  • Design an application architecture.
  • Design storage, non-relational and relational.
  • Design data integration solutions.
  • Design authentication, authorization, and identity solutions.
  • Design network solutions.
  • Design backup and disaster recovery solutions.
  • Design monitoring solutions.
  • Design migration solutions.

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What’s included in this Designing Microsoft Azure Infrastructure Solutions AZ305 Training Course?

  • World-Class Training Sessions from Experienced Instructors  
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Configuring and Operating Microsoft Azure Virtual Desktop AZ140​ Course Outline

Module 1: Azure Virtual Desktop Architecture

  • Introduction
  • Azure Virtual Desktop for the Enterprise
  • Azure Virtual Desktop Components
  • Personal and Pooled Desktops
  • Service Updates for Azure Virtual Desktop Desktops
  • Azure Limitations for Azure Virtual Desktop
  • Virtual Machine Sizing for Azure Virtual Desktop
  • Azure Virtual Desktop Pricing

Module 2: Design the Azure Virtual Desktop Architecture

  • Introduction
  • Assess Network Capacity and Speed Requirements for Azure Virtual Desktop
  • Azure Virtual Desktop Experience Estimator
  • Recommend an Operating System for an Azure Virtual Desktop implementation
  • Balancing Host Pools
  • Recommendations for Using Subscriptions and Management Groups
  • Configure a Location for the Azure Virtual Desktop Metadata
  • Recommend a Configuration for Performance Requirements

Module 3: Design for User Identities and Profiles

  • Introduction
  • Select an Appropriate Licensing Model for Azure Virtual Desktop Based on Requirements
  • Personal and Multi-Session Desktop Scenarios
  • Recommend an Appropriate Storage Solution
  • Plan for a Desktop Client Deployment
  • Plan for Azure Virtual Desktop Client Deployment - Remote Desktop Protocol (RDP)
  • Windows Desktop Client to Multiple Devices
  • Hybrid Identity with Azure Active Directory
  • Plan for Azure Active Directory (AD) Connect for User Identities

Module 4: Implement and manage networking for Azure Virtual Desktop

  • Introduction
  • Implement Azure Virtual Network Connectivity
  • Manage Connectivity to the Internet and On-Premises Networks
  • Understanding Azure Virtual Desktop Network Connectivity
  • Implement and Manage Network Security for Azure Virtual Desktop
  • Configure Azure Virtual Desktop Session Hosts Using Azure Bastion
  • Monitor and Troubleshoot Network Connectivity for Azure Virtual Desktop
  • Plan and Implement Remote Desktop Protocol Shortpath
  • Configure Remote Desktop Protocol Shortpath for Managed Networks
  • Configure Windows Defender Firewall with Advanced Security for RDP Shortpath
  • Plan and implement Quality of Service for Azure Virtual Desktop

Module 5: Implement and Manage Storage for Azure Virtual Desktop

  • Introduction
  • Storage for FSLogix Components
  • Configure Storage for FSLogix Components
  • Configure Storage Accounts
  • Create File Shares
  • Configure Disks

Module 6:  Create and Configure Host Pools and Session Hosts for Azure Virtual Desktop

  • Introduction
  • Automate Creation of an Azure Virtual Desktop Host Pool Using PowerShell
  • Configure Host Pool Assignment Type
  • Customize Remote Desktop Protocol (RDP) Properties for a Host Pool
  • Manage Licensing for Session Hosts that Run Windows Client
  • Deploying Azure AD-Joined Virtual Machines in Azure Virtual Desktop

Module 7: Create and Manage Session Host Image for Azure Virtual Desktop

  • Introduction
  • Create a Managed Virtual Machine (VM) Image
  • Modify a Session Host Image
  • Plan for Image Update and Management
  • Create and Use an Azure Compute Gallery using the Portal
  • Create an Azure Virtual Desktop Image by Using VM Image Builder
  • Install Microsoft 365 Apps on a Master Virtual Hard Disk Image
  • Install Language Packs in Azure Virtual Desktop

Module 8: Manage Access for Azure Virtual Desktop

  • Introduction
  • Role-Based Access Control (RBAC) for Azure Virtual Desktop
  • Plan and implement Azure Roles and Role-Based Access Control (RBAC) for Azure Virtual Desktop
  • Using Azure Virtual Desktop with Microsoft Intune
  • Configuring screen capture protection for Azure Virtual Desktop

Module 9: Manage Security for Azure Virtual Desktop

  • Introduction
  • Plan and implement Conditional Access policies for Connections to Azure Virtual Desktop
  • Plan and Implement Multifactor Authentication (MFA) in Azure Virtual Desktop
  • Understand Conditional Access Policy Components
  • Manage Security by Using Azure Security Center
  • Security Posture management and Threat Protection

Module 10: Implement and Manage FSLogix

  • Introduction
  • Plan for FSLogix
  • FSLogix Profile Containers and Azure Files
  • Install FSLogix
  • Storage Options for FSLogix Profile Containers
  • Profile Container vs Office Container
  • Configure Office Containers
  • Installing Microsoft Office Using FSLogix Application Containers
  • Configure Cloud Cache
  • Configure Profile Containers
  • Create a Profile Container with Azure NetApp Files and Capacity pool
  • Manage Rule Sets and Application Masking

Module 11: Configure user experience settings

  • Introduction
  • Virtual desktop Optimisation Principles
  • Persistent virtual Desktop Environments
  • Configure User Settings Through Group Policies
  • Configure User Settings Through Endpoint Manager Policies
  • Configure Session Timeout Properties
  • Configure Device Redirections
  • Configure Universal Print
  • Implement the Start Virtual Machine on Connect Feature
  • Troubleshoot User Profile Issues
  • Troubleshoot Azure Virtual Desktop Clients

Module 12: Install and Configure Apps on a Session Host

  • Introduction
  • MSIX App Attach
  • How MSIX App Attach Works
  • Set Up a File Share for MSIX App Attach
  • Upload MSIX Images to Azure NetApp Files in Azure Virtual Desktop
  • How to Configure Apps for Users
  • Using the OneDrive sync app on Virtual Desktops
  • Using Microsoft Teams on Azure Virtual Desktop
  • Publish Built-In Apps in Azure Virtual Desktop
  • Troubleshoot Application Issues for Azure Virtual Desktop

Module 13: Plan for Disaster Recovery

  • Introduction
  • Disaster Recovery for Azure Virtual Desktop
  • Virtual Machine Replication
  • FSLogix Configuration

Module 14: Automate Azure Virtual Desktop Management Tasks

  • Introduction
  • Scale Session Hosts Using Azure Automation
  • Create or Update an Azure Automation Account
  • Create an Azure Automation Run as Account
  • Create the Azure Logic App and Execution Schedule

Module 15: Monitor and Manage Performance and Health

  • Introduction
  • Monitor Azure Virtual Desktop by Using Azure Monitor
  • Log Analytics Workspace for Azure Monitor
  • Monitor Azure Virtual Desktop by using Azure Advisor
  • How to Resolve Azure Advisor Recommendations
  • Diagnose Graphics Performance Issues

Show moredown

Who should attend this Configuring and Operating Microsoft Azure Virtual Desktop AZ140 Training Course?

The Configuring and Operating Microsoft Azure Virtual Desktop AZ140 Training Course is designed for individuals who want to learn how to configure and operate virtual desktop environments using Microsoft Azure Virtual Desktop (formerly known as Windows Virtual Desktop). A variety of professionals can benefit from this course, such as:

  • IT Administrators
  • Desktop Virtualisation Specialists
  • System Administrators
  • Cloud Engineers
  • Infrastructure Managers
  • Solution Architects
  • Technical Consultants

Prerequisites of the Configuring and Operating Microsoft Azure Virtual Desktop AZ140 Training Course

The Configuring and Operating Microsoft Azure Virtual Desktop AZ140 course recommends familiarity with Azure services, Microsoft 365, and virtualisation technologies. A basic understanding of networking, permissions, licensing, and end-user access is advantageous, along with hands-on experience in operating Azure-based systems.

Configuring and Operating Microsoft Azure Virtual Desktop AZ140​ Course Overview

Microsoft Azure Virtual Desktop is a cloud-based platform and virtual desktop with a unique feature of Windows 10 enterprise multi-session that runs in Azure. Azure Virtual Desktop provides access to remote applications and virtual desktop experience to any device. Studying Configuring and Operating Microsoft Azure Virtual Desktop AZ140 training course will help individuals to configure and operate Azure Virtual Desktop effectively. It assists in deploying virtual machines and configuring them and allows organisations to secure their data by a variety of built-in security protocols. This training will help learners to expand their skills and undertake a variety of tremendous job opportunities in various international companies.

This 4-day Configuring and Operating Microsoft Azure Virtual Desktop AZ140 Training covers all the essential topics by which delegates will become fully familiar with Microsoft Azure Virtual Desktop. During this training, delegates will learn about how to implement an Azure Virtual Desktop infrastructure. They will also learn about Azure Virtual Desktop architecture, creating and managing session host images, managing access and security, installing and configuring apps on a session host, implementing and managing networking for Azure Virtual Desktop, and many more. Our highly professional trainer with years of experience in teaching Microsoft courses will conduct this training and will help delegates get a complete understanding of configuring and managing Microsoft Azure Virtual Desktop.

Course objectives:

  • Create and manage session host image 
  • Design for user identities and profiles 
  • Configure user experience settings 
  • Implement and manage storage for Azure Virtual Desktop 
  • Deploy and manage host pools and hosts by using PowerShell

Delegates who want to get trained with more knowledge about Azure computing services then they can choose our popular Azure courses, including Microsoft Azure Security Technologies MAZ500, Developing Solutions for Microsoft Azure MAZ204, Microsoft Azure DevOps Solutions MAZ400, and more from our Microsoft Azure Training section and improve their career progression prospects.

Show moredown

What’s included in this Configuring and Operating Microsoft Azure Virtual Desktop AZ140 Training Course?

  • World-Class Training Sessions from Experienced Instructors       
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Designing and Implementing Microsoft Azure Networking Solutions AZ700​ Training Course Outline

Module 1: Introduction to Azure Virtual Networks

  • Introduction
  • Explore Azure Virtual Networks
  • Configure Public IP Services
  • Exercise: Design and Implement a Virtual Network in Azure
  • Design Name Resolution for Your Virtual Network
  • Exercise: Configure Domain Name Servers Settings in Azure
  • Enable Cross-Virtual Network Connectivity with Peering
  • Exercise: Connect Two Azure Virtual Networks Using Global Virtual Network Peering
  • Implement Virtual Network Traffic Routing
  • Configure Internet Access with Azure Virtual NAT

Module 2: Design and Implement Hybrid Networking

  • Introduction
  • Design and Implement Azure VPN Gateway
  • Exercise: Create and Configure a Virtual Network Gateway
  • Connect Networks with Site-to-Site VPN Connections
  • Connect Devices to Networks with Point-to-Site VPN Connections
  • Connect Remote Resources by Using Azure Virtual WANs
  • Exercise: Create a Virtual WAN by Using the Azure Portal
  • Create a Network Virtual Appliance (NVA) in a Virtual Hub

Module 3: Design and Implement Azure ExpressRoute

  • Introduction
  • Explore Azure ExpressRoute
  • Design an ExpressRoute Deployment
  • Exercise: Configure an ExpressRoute Gateway
  • Exercise: Provision an ExpressRoute Circuit
  • Configure Peering for an ExpressRoute Deployment
  • Connect an ExpressRoute Circuit to a Virtual Network
  • Connect Geographically Dispersed Networks with ExpressRoute Global Reach
  • Improve Data Path Performance Between Networks with ExpressRoute FastPath
  • Troubleshoot ExpressRoute Connection Issues

Module 4: Load Balance Non-HTTP(S) Traffic in Azure

  • Introduction
  • Explore Load Balancing
  • Design and Implement Azure Load Balancer Using the Azure Portal
  • Exercise: Create and Configure an Azure Load Balancer
  • Explore Azure Traffic Manager
  • Exercise: Create a Traffic Manager Profile Using the Azure Portal

Module 5: Load Balance HTTP(S) Traffic in Azure

  • Introduction
  • Design Azure Application Gateway
  • Configure Azure Application Gateway
  • Exercise: Deploy Azure Application Gateway
  • Design and Configure Azure Front Door
  • Exercise: Create a Front Door for a Highly Available Web Application

Module 6: Design and Implement Network Security

  • Introduction
  • Get Network Security Recommendations with Microsoft Defender for Cloud
  • Deploy Azure DDoS Protection by Using the Azure Portal
  • Exercise: Configure DDoS Protection on a Virtual Network Using the Azure Portal
  • Deploy Network Security Groups by Using the Azure Portal
  • Design and Implement Azure Firewall
  • Exercise: Deploy and Configure Azure Firewall Using the Azure Portal
  • Secure Your Networks with Azure Firewall Manager
  • Exercise: Secure Your Virtual Hub Using Azure Firewall Manager
  • Implement a Web Application Firewall on Azure Front Door

Module 7: Design and Implement Private Access to Azure Services

  • Introduction
  • Explain Virtual Network Service Endpoints
  • Define Private Link Service and Private Endpoint
  • Integrate Private Endpoint with DNS
  • Exercise: Restrict Network Access to PaaS Resources with Virtual Network Service Endpoints Using the Azure Portal
  • Exercise: Create an Azure Private Endpoint Using Azure PowerShell
  • Integrate Your App Service with Azure Virtual Networks

Module 8: Design and Implement Network Monitoring

  • Introduction
  • Monitor Your Networks Using Azure Monitor
  • Exercise: Monitor a Load Balancer Resource Using Azure Monitor
  • Monitor Your Networks Using Azure Network Watcher

Show moredown

Who should attend this Designing and Implementing Microsoft Azure Networking Solutions AZ700 Training Course?

This Designing and Implementing Microsoft Azure Networking Solutions AZ700 Course is designed for individuals who want to develop expertise in designing and implementing networking solutions within the Microsoft Azure cloud environment. This training is especially beneficial for these professionals:

  • Azure Network Engineers
  • Solutions Architects
  • Infrastructure Architects
  • IT Administrators
  • Network Administrators
  • Security Engineers
  • Cloud Engineers

Prerequisites of the Designing and Implementing Microsoft Azure Networking Solutions AZ700 Training Course

To attend this Designing and Implementing Microsoft Azure Networking Solutions AZ700 Course, delegates should have:

  • Understanding of on-premises virtualisation technologies such as VMs, virtual networking, and virtual hard disks
  • Understanding of network configurations like TCP/IP, Domain Name System (DNS), Virtual Private Networks (VPNs), firewalls, and encryption technologies
  • Understanding of software-defined networking and hybrid network connectivity methods such as VPN
  • Understanding resilience and disaster recovery, including high availability and restore operations
  • Understanding required to configure and manage virtual networks

Designing and Implementing Microsoft Azure Networking Solutions AZ700​ Training Course Overview

Azure networking services offer a wide range of networking features combined or independently can be used. Azure gives the scalability, performance, high availability, and enterprise-grade security needed to handle the most demanding workloads. It helps organisations by delivering consistent and low-latency computing to their clients via services that integrate smoothly across on-premises, multi-cloud, and edge locations. Studying Designing and Implementing Microsoft Azure Networking Solutions AZ700 Training course will help learners to design, implement, and maintain Azure networking solutions effectively. This training will help learners expand their skills and undertake a variety of tremendous job opportunities in various international companies.

This 3-day Designing and Implementing Microsoft Azure Networking Solutions AZ700 Training course covers all the essential topics by which delegates will become familiar with Azure networking solutions. During this training, they will learn about how to connect geographically dispersed networks with ExpressRoute global reach. They will also learn about how to configure peering for an ExpressRoute deployment, configure Azure application gateway, connect remote resources by using Azure virtual WANs, implement virtual network traffic routing, explore Azure traffic manager, and many more. Our highly professional trainer with years of experience in teaching Microsoft courses will conduct this training and help delegates get a comprehensive understanding of designing and implementing Microsoft Azure networking solutions.

Other than the above topics, delegates will also learn the following concepts:

  • Explore load balancing
  • Design and implement Azure VPN gateway
  • Configure public IP services
  • Explore Azure ExpressRoute
  • Create a Network Virtual Appliance (NVA) in a virtual hub

After attending the Designing and Implementing Microsoft Azure Networking Solutions AZ700 Training course, delegates will be able to design and configure the Azure application gateway. They will also be able to implement a Web Application Firewall (WAF) on the Azure front door.

Show moredown

What’s included in this Designing and Implementing Microsoft Azure Networking Solutions AZ700 Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

Show moredown

accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (5 days)

Classroom (5 days)

Online Self-paced (40 hours)

Automating Administration with PowerShell AZ040 Course Outline

Module 1: Review Windows PowerShell

  • Introduction
  • Windows PowerShell
  • Windows PowerShell Applications
  • Factors to Install and Use Windows PowerShell
  • Configure the Windows PowerShell Console
  • Windows PowerShell Integrated Scripting Environment
  • Use Visual Studio Code with PowerShell

Module 2: Command Syntax in Windows PowerShell

  • Structure of PowerShell cmdlets
  • Parameters for Using PowerShell cmdlets
  • Tab Completion Feature in PowerShell
  • Display the About Files Content in PowerShell

Module 3: Commands and Get-Help in Windows PowerShell

  • Modules in PowerShell
  • cmdlets in PowerShell
  • Use Command Aliases in PowerShell
  • Use Show-Command and Get-Help in PowerShell
  • Help File Contents and Update the Local Help Content in PowerShell

Module 4: Active Directory Domain Services using PowerShell cmdlets

  • User Accounts in PowerShell
  • Groups and Group Memberships in PowerShell
  • Computer Accounts in PowerShell
  • Organisational Units and Active Directory Objects in PowerShell

Module 5: Network Service Settings for Windows Devices Using PowerShell cmdlets

  • IP Addresses in PowerShell
  • IP Routing in PowerShell
  • DNS Clients in PowerShell
  • Windows Firewall Settings in PowerShell

Module 6: Windows Server Settings Using PowerShell Cmdlets

  • Automate Management Tasks Using the Group Policy Management cmdlets
  • Server Roles and Services Using PowerShell cmdlets
  • Hyper-V Virtual Machines Using PowerShell cmdlets
  • Internet Information Services Using PowerShell cmdlets

Module 7: Settings for a Local Windows Machine Using PowerShell cmdlets

  • Manage Windows 10 Using PowerShell
  • Manage Permissions with PowerShell

Module 8: Windows PowerShell Pipeline

  • Review Windows PowerShell Pipeline and its Output
  • Discover Object Members in PowerShell
  • Control the Formatting of Pipeline Output

Module 9: Select, Sort, and Measure Objects Using the Pipeline

  • Sort and Group Objects by Property in the Pipeline
  • Measure Objects in the Pipeline
  • Select a Set of Objects in the Pipeline
  • Select Object Properties in the Pipeline
  • Create and Format Calculated Properties in the Pipeline

Module 10: Filter Objects Out of the Pipeline

  • Comparison Operators
  • Review Basic Filter Syntax in the Pipeline
  • Review Advanced Filter Syntax in the Pipeline
  • Optimise the Filter Performance in the Pipeline

Module 11: Enumerate Objects in the Pipeline

  • Enumerations in the Pipeline
  • Review Basic Syntax to Enumerate Objects
  • Review Advanced Syntax to Enumerate Objects

Module 12: Send and Pass Data as Output from the Pipeline

  • Write Pipeline Data to a File
  • Convert Pipeline Objects to Other Forms of Data
  • Control Additional Output Options

Module 13: Pass Pipeline Objects

  • Pipeline Parameter Binding
  • Identify ByValue Parameters
  • Pass Data by Using ByValue
  • Pass Data by Using ByPropertyName
  • Identify ByPropertyName Parameters
  • Use Manual Parameters to Override the Pipeline
  • Use Parenthetical Commands
  • Expand Property Values

Module 14: Connect with Data Stores Using PowerShell Providers

  • Define Windows PowerShell providers
  • Review the Built-in Providers in PowerShell
  • Access Provider Help in PowerShell

Module 15: Use PowerShell Drives in PowerShell

  • PowerShell Drives in PowerShell
  • Use PowerShell Drive cmdlets in PowerShell
  • File System in PowerShell
  • Registry in PowerShell
  • Work with Certificates
  • Work with Other PowerShell Drives

Module 16: Review CIM and WMI

  • Review Architecture of CIM and WMI
  • Review Repositories in CIM and WMI
  • Locate Online Class Documentation by Using CIM and WMI cmdlets

Module 17: Query Configuration Information by Using CIM and WMI

  • List Local Repository Namespaces and Classes by Using CIM and WMI
  • Query Instances by Using Commands and WMI Query Language
  • Connect to Remote Computers by Using CIM and WMI cmdlets
  • Query Repository Classes from Remote Computers by Using CIMSession Objects

Module 18: Query and Manipulate Repository Objects by Using CIM and WMI Methods

  • Discover Methods of Repository Objects by Using CIM and WMI
  • Locate Class Methods and Documentation by Using CIM and WMI
  • Invoke Methods of Repository Objects by Using CIM and WMI

Module 19: Manage Variables in Windows PowerShell Scripts

  • Variables in Windows PowerShell Scripts
  • Create Variable Names in Windows PowerShell Scripts
  • Assign Values and Types to Variables
  • Methods and Properties of Variables in Windows PowerShell Scripts
  • String Variables and Methods in Windows PowerShell Scripts
  • Date Variables and Methods in Windows PowerShell Scripts

Module 20: Work with Arrays and Hash Tables in Windows PowerShell Scripts

  • Array in Windows PowerShell Scripts
  • Work with Array Lists
  • Define Hash Tables
  • Work with Hash Tables

Module 21: Create and Run Scripts by Using Windows PowerShell

  • Review Windows PowerShell Scripts
  • Modify Scripts in the PowerShell Gallery
  • Create Scripts using Windows PowerShell
  • Review the PowerShellGet Module in Windows PowerShell
  • Run Scripts and Set the Execution Policy in Windows PowerShell
  • Review Windows PowerShell and AppLocker
  • Sign the Scripts Digitally in Windows PowerShell

Module 22: Work with Scripting Constructs in Windows PowerShell

  • ForEach loop in Windows PowerShell Scripts
  • If construct in Windows PowerShell Scripts
  • Switch Construct in Windows PowerShell Scripts
  • For Construct in Windows PowerShell Scripts
  • Other Loop Constructs in Windows PowerShell Scripts
  • Break and Continue in Windows PowerShell Scripts

Module 23: Import Data in Different Formats for Use in Scripts by Using Windows PowerShell cmdlets

  • Get-Content Command
  • Import-Csv cmdlet
  • Import-Clixml cmdlet
  • ConvertFrom-Json cmdlet

Module 24: Use Methods to Accept User Inputs in Windows PowerShell Scripts

  • Identify Values that Might Change
  • Use the Read-Host cmdlet
  • Use the Get-Credential cmdlet
  • Use the Out-GridView cmdlet
  • Pass Parameters to a Windows PowerShell Script

Module 25: Troubleshoot Scripts and Handle Errors in Windows PowerShell

  • Interpret Error Messages Generated for Windows PowerShell Commands
  • Add Output to Windows PowerShell Scripts
  • Use Breakpoints in Windows PowerShell Scripts
  • Interpret Error Actions for Windows PowerShell Commands

Module 26: Use Functions and Modules in Windows PowerShell Scripts

  • Review Functions in Windows PowerShell Scripts
  • Use Variable Scope in Windows PowerShell Scripts
  • Create Modules in Windows PowerShell Scripts
  • Use the Dot Sourcing Feature in Windows PowerShell

Module 27: Manage Single and Multiple Computers by Using Windows PowerShell Remoting

  • Review the Remoting Feature of Windows PowerShell
  • Compare Remoting with Remote Connectivity
  • Review the Remoting Security Feature of Windows PowerShell
  • Enable Remoting by Using Windows PowerShell
  • Use One-to-One Remoting by Using Windows PowerShell
  • Use One-to-Many Remoting by Using Windows PowerShell
  • Compare Remoting Output with Local Output

Module 28: Use Advanced Windows PowerShell Remoting Techniques

  • Review Common Remoting Techniques of Windows PowerShell
  • Send Parameters to Remote Computers in Windows PowerShell
  • Set Access Protection to Variables, Aliases, and Functions by Using the Scope Modifier
  • Enable Multi-Hop Remoting in Windows PowerShell

Module 29: Persistent Connections to Remote Computers by Using Windows PowerShell Sessions

  • Review Persistent Connections in Windows PowerShell
  • Create and Manage Persistent PSSessions by using Windows PowerShell
  • Disconnect PSSessions by Using Windows PowerShell
  • Review the Feature of Implicit Remoting in Windows PowerShell

Module 30: Review Azure PowerShell Module

  • Azure PowerShell
  • Benefits of the Azure PowerShell Module
  • Install the Azure PowerShell Module
  • Migrate Azure PowerShell from AzureRM to Azure
  • Review Microsoft Azure Active Directory Module for Windows PowerShell and Azure Active Directory PowerShell

Module 31: Review the Features and Tools for Azure Cloud Shell

  • Characteristics of Azure Cloud Shell
  • Features and Tools of Azure Cloud Shell
  • Configure and Experiment with Azure Cloud Shell

Module 32: Manage Azure Resources with Windows PowerShell

  • New Azure Virtual Machine by Using Windows PowerShell Commands
  • Azure Virtual Machines by Using Windows PowerShell Commands
  • Azure Related Storage by Using Azure PowerShell
  • Azure Subscriptions by Using Azure PowerShell

Module 33: Manage Users, Groups, and Licenses in Azure AD by Using Windows PowerShell

  • Benefits to Manage Microsoft 365 Services by Using Windows PowerShell
  • Connect to the Microsoft 365 Tenant by Using Windows PowerShell
  • Users in Microsoft 365 by Using Windows PowerShell
  • Groups in Microsoft 365 by Using Windows PowerShell
  • Roles in Microsoft 365 by Using Windows PowerShell
  • Licenses in Microsoft 365 by Using Windows PowerShell

Module 34: Manage Exchange Online by Using Windows PowerShell

  • Connect to Exchange Online by Using Windows PowerShell
  • Mailboxes in Exchange Online by Using Windows PowerShell
  • Resources in Exchange Online by Using Windows PowerShell
  • Admin Roles in Exchange Online by Using Windows PowerShell

Module 35: Manage SharePoint Online by Using Windows PowerShell

  • Install and Connect to SharePoint Online Management Shell by Using Windows PowerShell
  • SharePoint Online Users and Groups by Using Windows PowerShell
  • SharePoint Sites by Using Windows PowerShell
  • SharePoint Online External User Sharing by Using Windows PowerShell

Module 36: Manage Microsoft Teams by Using Windows PowerShell

  • Review Microsoft Teams PowerShell Module
  • Install the Microsoft Teams PowerShell Module
  • Manage Teams with Microsoft Teams PowerShell Module

Module 37: Create and Manage Background Jobs Using Windows PowerShell

  • Types of Background Jobs in Windows PowerShell
  • Start Remote Jobs and CIM/WMI Jobs in Windows PowerShell
  • Monitor Jobs in Windows PowerShell
  • Retrieve Results for Running Jobs in Windows PowerShell

Module 38: Create and Manage Scheduled Jobs Using Windows PowerShell

  • Create and Run Windows PowerShell Scripts as Scheduled Tasks
  • Define Scheduled Jobs in Windows PowerShell
  • Create Job Option and Job Trigger objects in Windows PowerShell
  • Create and Register a Scheduled Job in Windows PowerShell
  • Retrieve the Results from a Scheduled Job in Windows PowerShell

Show moredown

Who should attend this Automating Administration with PowerShell AZ040 Training Course?

This Automating Administration with PowerShell AZ040 Course is designed for individuals who want to develop expertise in automating administrative tasks and managing Microsoft Azure resources using PowerShell scripting. This training course is especially beneficial for these professionals:

  • Cloud Administrators
  • System Administrators
  • IT Administrators
  • Network Administrators
  • Cloud Engineers
  • DevOps Engineers
  • Developers

Prerequisites of the Automating Administration with PowerShell AZ040 Training Course

Before attending this course, Delegate must have:

  • Experience with Windows networking technologies and implementation
  • Experience with Windows Server administration, maintenance, and troubleshooting

Automating Administration with PowerShell AZ040 Course Overview

This course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches.

What you will gain from taking this Microsoft training course:

  • Describe the functionality of Windows PowerShell and use it to run and find basic commands.
  • Identify and run cmdlets for local system administration.
  • Work with the Windows PowerShell pipeline.
  • Use PSProviders and PSDrives to work with other forms of storage.
  • Query system information by using WMI and CIM.
  • Work with variables, arrays, and hash tables.
  • Create basic scripts in Windows PowerShell.
  • Administer remote computers with Windows PowerShell.
  • Manage Azure resources with PowerShell.
  • Manage Microsoft 365 services with PowerShell.
  • Use background jobs and scheduled jobs.

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What’s included in this Automating Administration with PowerShell AZ040 Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

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accredited by

Our Microsoft training course is accredited by Microsoft

Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

Administering Windows Server Hybrid Core Infrastructure AZ800 Course Outline

Module 1: Introduction to AD DS

  • Introduction
  • Define AD DS
  • Define Users, Groups, and Computers
  • Define AD DS Forests and Domains
  • Define Ous
  • Manage Objects and Their Properties in AD DS

Module 2: Manage AD DS Domain Controllers and FSMO Roles

  • Introduction
  • Deploy AD DS Domain Controllers
  • Maintain AD DS Domain Controllers
  • Manage the AD DS Global Catalog Role
  • Manage AD DS Operations Masters
  • Manage AD DS Schema

Module 3: Implement Group Policy Objects

  • Introduction
  • Define Gpos
  • Implement GPO Scope and Inheritance
  • Define Domain-Based Gpos
  • Create and Configure a Domain-Based GPO
  • Define GPO Storage
  • Define Administrative Templates

Module 4: Manage Advanced Features of AD DS

  • Introduction
  • Create Trust Relationships
  • Implement ESAE Forests
  • Monitor and Troubleshoot AD DS
  • Create Custom AD DS Partitions

Module 5: Implement Hybrid Identity with Windows Server

  • Introduction
  • Select an Azure Active Directory Integration Model
  • Plan for Azure Active Directory Integration
  • Prepare On-Premises Active Directory for Directory Synchronization
  • Install and Configure Directory Synchronization with Azure Active Directory Connect
  • Implement Seamless Single Sign-On
  • Enable Azure Active Directory Login in for Windows VM in Azure
  • Knowledge Check 1
  • Describe Azure Active Directory Domain Services
  • Implement and Configure Azure Active Directory Domain Services
  • Manage Windows Server 2019 in an Azure Active Directory Domain Services Environment
  • Create and Configure an Azure Active Directory Domain Services Instance
  • Join a Windows Server VM to a Managed Domain

Module 6: Deploy and Manage Azure Iaas Active Directory Domain Controllers in Azure

  • Introduction
  • Select an Option to Implement Directory and Identity Services Using Active Directory Domain Services in Azure
  • Deploy and Configure Active Directory Domain Services Domain Controllers in Azure Vms
  • Install a Replica Active Directory Domain Controller in an Azure VM
  • Install a New Active Directory Forest on an Azure Vnet

Module 7: Perform Windows Server Secure Administration

  • Introduction
  • Define Least Privilege Administration
  • Implement Delegated Privileges
  • Use Privileged Access Workstations
  • Use Jump Servers

Module 8: Describe Windows Server Administration Tools

  • Introduction
  • Explore Windows Admin Center
  • Use Server Manager
  • List Remote Server Administration Tools
  • Use Windows Powershell
  • Use Windows Powershell to Remotely Administer a Server

Module 9: Perform post-installation Configuration of Windows Server

  • Introduction
  • List the Available Post-Installation Configuration Tools
  • Configure Server Core Using Sconfig
  • Use DSC to Configure Windows Server
  • Perform Post-Installation Configuration with Windows Admin Center
  • Configure a Server with Answer Files

Module 10: Just Enough Administration in Windows Server

  • Introduction
  • Explain the Concept Of Just Enough Administration (JEA)
  • Define Role Capabilities for a JEA Endpoint
  • Create a Session Configuration File to Register a JEA Endpoint
  • Describe How JEA Endpoints Work to Limit Access to a Powershell Session
  • Create and Connect to a JEA Endpoint
  • Demonstration: Connect to a JEA Endpoint

Module 11: Administer and Manage Windows Server Iaas Virtual Machine Remotely

  • Introduction
  • Select the Appropriate Remote Administration Tool
  • Manage Windows Virtual Machines with Azure Bastion
  • Create an Azure Bastion Host
  • Configure Just-In-Time Administration

Module 12: Manage Hybrid Workloads with Azure Arc

  • Introduction
  • Describe Azure Arc
  • Onboard Windows Server Instances
  • Connect Hybrid Machines to Azure From the Azure Portal
  • Use Azure Arc to Manage Windows Server Instances
  • Restrict Access With RBAC

Module 13: Configure and Manage Hyper-V

  • Introduction
  • Define Hyper-V
  • Define Hyper-V Manager
  • Configure Hyper-V Hosts Using Best Practices
  • Configure Hyper-V Networking
  • Assess Advanced Hyper-V Networking Features
  • Define Nested Virtualization

Module 14: Configure and Manage Hyper-V Virtual Machines

  • Introduction
  • List the Virtual Machine Configuration Versions
  • List the Virtual Machine Generation Versions
  • List Available VHD Formats and Types
  • Create and Configure Vms
  • Determine Storage Options for Vms
  • Define Shared Vhds and VHD Sets
  • Implement Guest Clusters Using Shared VHDX

Module 15: Secure Hyper-V Workloads

  • Introduction
  • Define Guarded Fabric
  • Define the Host Guardian Service
  • Explore TPM-Trusted Attestation
  • Define KPS
  • Determine Key Features of Shielded Vms
  • Compare Encryption-Supported and Shielded Vms in a Guarded Fabric
  • Implement a Shielded VM

Module 16: Run Containers on Windows Server

  • Introduction
  • Define Containers
  • List the Differences Between Containers and Vms
  • Define Windows Server and Hyper-V Containers and Isolation Modes
  • Explore Docker
  • Prepare a Windows Server 2019 Host for Container Deployment
  • Security, Storage, and Networking with Windows Containers

Module 17: Orchestrate Containers on Windows Server Using Kubernetes

  • Introduction
  • Define Orchestration
  • Define Kubernetes
  • Deploy Kubernetes Resources
  • Create a Kubernetes Cluster on Windows
  • Define Azure Arc
  • Connect an Azure Arc-Enabled Kubernetes Cluster to Azure Arc

Module 18: Plan and Deploy Windows Server Iaas Virtual Machines

  • Introduction
  • Describe Azure Compute
  • Describe Virtual Machine Storage
  • Deploy Azure Virtual Machines
  • Create a Windows Virtual Machine Using the Portal
  • Create a Windows Virtual Machine Using Azure CLI
  • Deploy Azure Virtual Machines Using Templates
  • Describe Additional Management Optimization Options

Module 19: Customize Windows Server Iaas Virtual Machine Images

  • Introduction
  • Create a Generalized Image
  • Create a New Virtual Machine from a Managed Image
  • Create a Managed Image of a Generalized Virtual Machine in Azure
  • Create a Virtual Machine from a Managed Image
  • Implement Azure Image Builder
  • Create a Windows Virtual Machine Using Azure Image Builder Template
  • Create a Windows Virtual Machine with Azure Image Builder Using Powershell

Module 20: Automate the Configuration of Windows Server Iaas Virtual Machines

  • Introduction
  • Describe Azure Automation
  • Implement Azure Automation With DSC
  • Remediate Noncompliant Servers
  • Describe Custom Script Extensions
  • Configure a Virtual Machine by Using DSC

Module 21: Deploy and Manage DHCP

  • Introduction
  • Use DHCP to Simplify IP Configuration
  • Install and Configure the DHCP Role
  • Configure DHCP Options
  • Configure DHCP Scopes
  • Select DHCP High Availability Options
  • Implement DHCP Failover

Module 22: Implement Windows Server DNS

  • Introduction
  • Explore the DNS Architecture
  • Work with DNS Zones and Records
  • Install and Configure the DNS Role
  • Implement DNS Forwarding

Module 23: Implement IP Address Management

  • Introduction
  • Define IP Address Management
  • Deploy IP Address Management
  • Administer IP Address Management
  • Configure IP Address Management Options
  • Manage DNS Zones with IP Address Management
  • Manage DHCP Servers With IP Address Management
  • Use IP Address Management to Manage IP Addressing

Module 24: Implement Remote Access

  • Introduction
  • Examine the Remote Access Options in Windows Server
  • Select and Set Up Vpns
  • Use NPS to Create and Enforce Network Access Policies
  • Plan and Implement NPS
  • Deploy A PKI for Remote Access
  • Use WAP as a Reverse Web Proxy

Module 25: Implement Hybrid Network Infrastructure

  • Introduction
  • Describe Azure Network Topologies
  • Implement Azure VPN Options
  • Create a Route-Based VPN Gateway Using the Azure Portal
  • Implement Azure Expressroute
  • Configure Azure Virtual WAN
  • Implement DNS in Hybrid Environments

Module 26: Implement DNS for Windows Server IaaS VMs

  • Introduction
  • Understand Azure DNS
  • Implement Azure DNS
  • Create an Azure DNS Zone and Record Using the Azure Portal
  • Implement DNS With Azure Iaas Virtual Machines
  • Implement Split-Horizon DNS In Azure
  • Troubleshoot DNS

Module 27:  Implement Windows Server IaaS VM IP Addressing and Routing

  • Introduction
  • Implement a Virtual Network
  • Implement Iaas VM IP Addressing
  • Assign and Manage IP Addresses
  • Configure a Private IP Address for a Virtual Machine Using the Azure Portal
  • Create a Virtual Machine with a Static Public IP Address Using the Azure Portal
  • Implement Iaas Virtual Machine IP Routing
  • Implement Ipv6 for Windows Server Iaas Virtual Machines

Module 28: Manage Windows Server File Servers

  • Introduction
  • Define the Windows Server File System
  • List the Benefits and Uses of File Server Resource Manager
  • Define SMB and its Security Considerations
  • Configure SMB Protocol
  • Define Volume Shadow Copy Service

Module 29: Implement Storage Spaces and Storage Spaces Direct

  • Introduction
  • Define the Storage Spaces Architecture and its Components
  • List the Functionalities, Benefits, and Use Cases of Storage Spaces
  • Implement Storage Spaces
  • List the Functionalities, Components, Benefits, and Use Cases of Storage Spaces Direct
  • Implement Storage Spaces Direct

Module 30: Implement Windows Server Data Deduplication

  • Introduction
  • Define the Architecture, Components, And Functionality of Data Deduplication
  • Define the Use Cases and Interoperability of Data Deduplication
  • Implement Data Deduplication
  • Manage and Maintain Data Deduplication

Module 31: Implement Windows Server Iscsi

  • Introduction
  • List the Functionalities, Components, and Use Cases of Iscsi
  • List the Considerations for Implementing Iscsi
  • Implement Iscsi
  • Configure High Availability for Iscsi

Module 32: Implement Windows Server Storage Replica

  • Introduction
  • List the Functionalities and Components of Storage Replica
  • Examine the Prerequisites for Implementing Storage Replica
  • Implement Storage Replica by Using Windows Admin Center
  • Implement Storage Replica by Using Windows Powershell

Module 33: Implement a Hybrid File Server Infrastructure

  • Introduction
  • Describe Azure File Services
  • Configure Azure Files
  • Configure Connectivity to Azure Files
  • Describe Azure File Sync
  • Implement Azure File Sync
  • Deploy Azure File Sync
  • Deploy Azure File Sync 2
  • Manage Cloud Tiering
  • Migrate from DFSR to Azure File Sync

 

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Who should attend this Administering Windows Server Hybrid Core Infrastructure AZ800?

The Administering Windows Server Hybrid Core Infrastructure AZ800 course is designed for IT professionals who have experience in managing and maintaining Windows Server environments. Below are some categories of individuals who would find this course particularly useful:

  • System Administrators
  • IT Managers
  • Cloud Administrators
  • DevOps Engineers
  • Security Specialists
  • Technical Support Engineers
  • IT Professionals

Prerequisites of the Administering Windows Server Hybrid Core Infrastructure AZ800 Training

Prerequisites of the Administering Windows Server Hybrid Core Infrastructure AZ800 Training include a solid understanding of basic networking concepts, familiarity with Windows Server administration, and some experience with cloud services like Azure.

Administering Windows Server Hybrid Core Infrastructure AZ800 Course Overview

This course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.

Skills gained

  • Use administrative techniques and tools in Windows Server.
  • Identify tools used to implement hybrid solutions, including Windows Admin Center and PowerShell.
  • Implement identity services in Windows Server.
  • Implement identity in hybrid scenarios, including Azure AD DS on Azure IaaS and managed AD DS.
  • Integrate Azure AD DS with Azure AD.
  • Manage network infrastructure services.
  • Deploy Azure VMs running Windows Server and configure networking and storage.
  • Administer and manage Windows Server IaaS Virtual Machine remotely.
  • Manage and maintain Azure VMs running Windows Server.
  • Configure file servers and storage.
  • Implement File Services in hybrid scenarios, using Azure Files and Azure File Sync.

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What’s included in this Administering Windows Server Hybrid Core Infrastructure AZ800 Training?

  • World-Class Training Sessions from Experienced Instructors
  • Digital Delegate Pack

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Microsoft Azure Training FAQs

FAQ's

Microsoft Azure is a cloud computing platform and set of services provided by Microsoft. It offers a wide range of cloud-based solutions for building, deploying, and managing applications and services.What is included in your Microsoft Azure Courses? Our classroom Microsoft Azure Courses include a courseware book, refreshments, and a certificate upon completion. Where appropriate, they also include exams.
Our Azure Training Courses are available across the world in thousands of locations, making it easy to find a course near you.
Prerequisites for our Azure courses vary. Check out the multiple Microsoft Azure Courses provided by The Knowledge Academy for more details.
Azure is one among the top cloud computing platforms globally. Thus, acquiring a Microsoft Azure Certification demonstrates proficiency in Azure services and validates one's ability to design, implement, and manage Azure-based solutions. It also enhances job prospects and career advancement opportunities, as Azure skills are in high demand by employers seeking to leverage cloud technologies.
Obtaining a Microsoft Azure Certification is worth it for several reasons. Firstly, multiple employers are actively seeking candidates with expertise in Azure services. This opens various job opportunities with competitive salaries and career growth potential. Moreover, Microsoft regularly updates and expands its Azure services, and staying certified demonstrates your commitment to staying current with the latest advancements.
Our Microsoft Azure Certification Courses aim to help you understand the basics of Microsoft Azure, learn about various cloud models, security tools, features, management of governance and privacy in Azure, etc. The Knowledge Academy provides a plethora of Azure Training Courses which focus on specific aspects of the platform. For instance, Microsoft Azure Training Courses like Microsoft Azure Security Technologies AZ500 are dedicated to providing IT Security Professionals with the knowledge to implement security controls and maintain the integrity of organisations.
You should contact the course administrator or the customer support team for assistance accessing your courses, including Microsoft Azure Certification Courses.
The Knowledge Academy provides multiple Microsoft Azure Training Courses designed to make you proficient in using Azure services, implementing Microsoft DevOps solutions, and more. Our comprehensive course content and experienced instructors help you gain valuable knowledge and skills in Microsoft Azure and thereby enhance your career opportunities. Receive industry-recognised certifications, all while enjoying the flexibility of online learning and ongoing support from The Knowledge Academy.
The validity of Microsoft Azure Certifications depends on the type of certification. Fundamental certifications like Microsoft Certified: Azure Fundamentals do not expire, while Role-based and Specialty certifications like Microsoft Certified: Azure Developer and Microsoft Certified: Azure Virtual Desktop Specialty, respectively, are valid for one year from the date on which you complete all requirements to earn that certification.
Yes, we provide course materials and resources for our Microsoft Azure Training Courses.
Yes, The Knowledge Academy provides corporate training services. They offer various training programs designed for organisations and their employees. These corporate training programs cover various subjects, including Project Management, IT, Cybersecurity, Agile methodologies, leadership, and more.
Yes, we provide training course suggestions depending on the learner's level of knowledge and learning objectives. Our website lists suggested courses when you look for Microsoft Azure Certification Courses based on user ratings, reviews, and relevancy to your search parameters.
There are various job roles and positions that utilise Microsoft Azure in different capacities. Some of them include Cloud Solution Architect, Azure Developer, DevOps Engineer, Azure Administrator, and more. Our Microsoft Azure Courses are designed to equip you with the skills that can enhance your employability opportunities.
While some Azure Courses last for a day, some take up to four days. The online self-paced courses have a duration of 8 to 32 hours.
Yes, Azure is a highly in-demand skill in the current job market. As organisations increasingly adopt cloud computing, Azure has emerged as one of the leading cloud platforms. The demand for professionals with Azure skills has grown significantly, spanning various industries and job roles.
Yes, beginners can indeed find employment in the field of Azure. While some Azure roles may require prior experience or specialised knowledge, there are entry-level positions and opportunities available for beginners.
Having coding skills is beneficial but not always mandatory for working with Azure. Azure provides a range of services that cater to different needs, and some services do not require extensive coding knowledge.
The difficulty level of Microsoft Azure Training can differ depending on factors such as your prior knowledge and experience with cloud computing, programming, and IT infrastructure. Azure Training may be relatively easier to grasp for individuals already familiar with these concepts. The training programs offered by leading training providers like The Knowledge Academy aim to cater to different skill levels, providing comprehensive resources, practical exercises, and expert guidance to help learners navigate and understand Azure effectively.
Azure is a comprehensive cloud computing platform from Microsoft and it offers a wide range of services and solutions. It is used for various purposes such as hosting and managing applications, storing and analysing data, building and deploying virtual machines, implementing artificial intelligence and machine learning models, creating scalable and secure web services, and more.
The maximum number of attempts allowed for the Azure exam is five within a 12-month period from the first attempt. If you fail the exam five times, you'll be eligible to retake it 12 months from the date of your first attempt.
The introductory course in Azure is often referred to as "Azure Fundamentals." Our Microsoft Azure Fundamentals AZ900 Course is an entry-level training course that provides an overview of Azure services, concepts, and fundamental cloud computing principles.
The Knowledge Academy is the Leading global training provider for Microsoft Azure Training.
The price for Microsoft Azure Training certification in Belgium starts from €1495.

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