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Cloud Migration in Virtual Desktop Infrastructure

$247.00
How you learn:
Self-paced • Lifetime updates
When you get access:
Course access is prepared after purchase and delivered via email
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Cloud Migration in Virtual Desktop Infrastructure course cover?

Cloud Migration in Virtual Desktop Infrastructure is covered here in 8 modules: Assessment and Readiness Planning for VDI Workloads, Cloud Platform Selection and Architecture Design, Identity, Access, and Security Integration and 5 more. The outline lists 48 specific topics, opening with conduct application compatibility testing across Windows versions to determine which legacy applications require repackaging or middleware support in the cloud.

How do you approach Cloud Migration in Virtual Desktop Infrastructure step by step?

The work is sequenced in 8 stages. It starts with Assessment and Readiness Planning for VDI Workloads, moves through Cloud Platform Selection and Architecture Design and Identity, Access, and Security Integration, and ends at Governance, Cost Control, and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Cloud Migration in Virtual Desktop Infrastructure course?

Module 1 is Assessment and Readiness Planning for VDI Workloads. It works through conduct application compatibility testing across Windows versions to determine which legacy applications require repackaging or middleware support in the cloud., map user personas to performance profiles based on CPU, memory, and graphics utilization to right-size virtual desktop configurations., inventory existing on-premises VDI components including connection brokers, profile management systems.

How is the Cloud Migration in Virtual Desktop Infrastructure course delivered?

The Cloud Migration in Virtual Desktop Infrastructure course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Cloud Migration in Virtual Desktop Infrastructure course cost?

The Cloud Migration in Virtual Desktop Infrastructure course is $247 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Virtual Desktop Infrastructure in Cloud Migration, VDI Migration in Virtual Desktop Infrastructure, Mainframe Migration and Remote Desktop Services Kit, Setup And Migration and Remote Desktop Services Kit.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the equivalent of a multi-workshop technical advisory engagement, covering the full lifecycle of cloud VDI migration from assessment and architecture through operationalization, with depth comparable to an internal capability-building program for enterprise infrastructure teams.

Module 1: Assessment and Readiness Planning for VDI Workloads

  • Conduct application compatibility testing across Windows versions to determine which legacy applications require repackaging or middleware support in the cloud.
  • Map user personas to performance profiles based on CPU, memory, and graphics utilization to right-size virtual desktop configurations.
  • Inventory existing on-premises VDI components including connection brokers, profile management systems, and storage tiers to identify dependencies for migration.
  • Evaluate network latency between user locations and target cloud regions to determine feasibility of real-time desktop delivery.
  • Define success criteria for pilot migration, including login duration, application launch times, and user satisfaction thresholds.
  • Establish data residency requirements and align them with cloud provider region availability and compliance certifications.

Module 2: Cloud Platform Selection and Architecture Design

  • Compare native VDI services (e.g., Amazon WorkSpaces, Azure Virtual Desktop, Google Cloud Chrome Remote Desktop) based on licensing models, scalability, and integration with existing identity systems.
  • Select persistent versus non-persistent desktop models based on user data retention needs and IT management overhead.
  • Design virtual networking topology including VPC/VNet segmentation, DNS resolution, and hybrid connectivity via ExpressRoute or Direct Connect.
  • Integrate Azure AD or AWS IAM Identity Center with on-premises Active Directory using hybrid identity synchronization methods.
  • Size GPU-accelerated instances for engineering or design workloads based on concurrent user demand and application rendering requirements.
  • Plan for disaster recovery by configuring cross-region replication of user profiles and golden images.

Module 3: Identity, Access, and Security Integration

  • Implement conditional access policies to restrict desktop access based on device compliance, location, and risk level from identity protection tools.
  • Configure MFA enforcement for administrative access to VDI control plane components such as connection brokers and image management systems.
  • Enforce encryption of user data at rest using customer-managed keys in cloud storage services hosting FSLogix or user profile containers.
  • Integrate endpoint detection and response (EDR) agents into golden images to ensure consistent security posture across desktop instances.
  • Define role-based access control (RBAC) for IT teams managing cloud desktops, separating responsibilities for provisioning, monitoring, and support.
  • Disable clipboard and file redirection for high-security workloads while enabling selective peripheral redirection for specialized devices.

Module 4: Image Management and Golden Image Lifecycle

  • Establish a version-controlled repository for golden images using infrastructure-as-code tools such as Packer or Image Builder.
  • Schedule monthly patching cycles for OS and application updates, incorporating testing in a non-production environment before deployment.
  • Minimize image bloat by removing unnecessary drivers, applications, and services to reduce boot time and storage costs.
  • Implement application layering using tools like MSIX or Citrix App Layering to decouple software from base images for faster updates.
  • Automate image distribution across multiple regions using pipeline triggers and cloud-native deployment mechanisms.
  • Track image compliance against organizational security baselines using automated scanning tools integrated into the build pipeline.

Module 5: User Profile and Data Management Strategy

  • Deploy FSLogix or EUC profile containers on scalable cloud file storage (e.g., Azure Files, Amazon FSx) with appropriate IOPS and throughput settings.
  • Configure profile container exclusions to prevent bloating from cache and temporary files while preserving user-specific settings.
  • Implement OneDrive or SharePoint redirection for user documents to enable offline access and reduce profile container size.
  • Set up backup and retention policies for profile storage using versioning and point-in-time recovery features.
  • Monitor profile container growth trends and enforce quotas for power users exceeding baseline storage allocations.
  • Plan for profile migration from legacy solutions (e.g., roaming profiles, UE-V) using batched cutover with validation scripts.

Module 6: Networking, Performance, and User Experience Optimization

  • Tune display protocol settings (e.g., PCoIP, HDX, AVD RemoteFX) based on bandwidth availability and user task type (e.g., video, CAD).
  • Deploy cloud-based load balancers or gateways to distribute user connections across session hosts and minimize latency.
  • Implement Quality of Service (QoS) policies on corporate networks to prioritize VDI traffic over non-critical applications.
  • Use synthetic transaction monitoring to simulate user logins and detect performance degradation before end-user impact.
  • Configure DNS routing policies to direct users to the nearest cloud region based on geographic proximity.
  • Optimize storage performance by selecting provisioned IOPS tiers for boot disks and user profile containers based on observed workload patterns.

Module 7: Operational Management and Support Framework

  • Integrate VDI monitoring into existing SIEM and ITSM platforms using APIs or agents to centralize alerting and incident tracking.
  • Define auto-scaling policies for session hosts based on CPU, memory, and concurrent user thresholds to balance cost and performance.
  • Develop runbooks for common support scenarios including failed logins, profile corruption, and printer redirection issues.
  • Configure automated shutdown and startup schedules for non-persistent desktops to reduce cloud compute costs during off-hours.
  • Establish change control procedures for modifying golden images, connection broker settings, or network security groups.
  • Measure and report on desktop uptime, mean time to resolution (MTTR), and user-perceived performance metrics monthly.

Module 8: Governance, Cost Control, and Continuous Improvement

  • Tag all VDI-related resources (VMs, disks, storage accounts) with cost center, department, and environment metadata for chargeback reporting.
  • Conduct quarterly cost reviews using cloud financial management tools to identify underutilized instances and rightsizing opportunities.
  • Enforce naming conventions and resource group structures to maintain consistency and simplify operations across teams.
  • Implement policy-as-code controls using Azure Policy or AWS Config to prevent unauthorized configurations in production environments.
  • Rotate service account credentials and managed identities on a scheduled basis and audit usage through activity logs.
  • Establish a feedback loop with business units to prioritize new feature requests and address usability concerns in roadmap planning.