26+ YearsIT Experience
On-Premises IT Infrastructure Training · Platforms, Operations & Reliability
Build the skills to manage your IT environment.
Practical, instructor-led training for teams responsible for deploying, administering and supporting enterprise IT infrastructure.
Develop skills across Windows, Linux, storage, networking, virtualization and containers. Connect infrastructure operations with automation, DevOps, data platforms and service reliability through demonstrations, guided exercises and operational scenarios.
Live Virtual · Classroom · On-Site · Hybrid · Worldwide
Your Trainer
Connect technical instruction with enterprise experience.
Learn with Ahmad Majeed Zahoory, an IT consultant and corporate technology trainer with 26+ years of IT experience.
His work spans enterprise infrastructure, networking, cloud architecture and technology enablement. Training combines technical explanation with demonstrations, practical exercises and discussion of operational responsibilities.
Since 2011Corporate Training
On-Premises IT Infrastructure Training Areas
Choose the technologies and operational skills your team needs.
Select one focused area or combine related technologies into a structured corporate learning program.
Windows Server
Configure and administer Windows Server roles, services, permissions, remote management and updates. Investigate common server and service issues.
Linux Administration
Manage users, permissions, packages, services and filesystems. Use command-line tools and logs to troubleshoot Linux environments.
Active Directory & Identity
Understand domains, domain controllers, users, groups and Group Policy. Explore authentication, delegated administration and identity-service dependencies.
Networking & Connectivity
Develop practical understanding of IP addressing, subnetting, routing, switching and network segmentation. Trace connectivity between infrastructure components.
Storage & File Services
Explore RAID, SAN, NAS, block and file storage. Examine capacity, access permissions, availability and performance considerations.
Virtualization
Deploy and manage virtual machines, virtual networks and resource allocations. Investigate contention and understand migration and availability concepts.
Load Balancing
Understand listeners, backend pools, health checks, traffic distribution and session persistence. Investigate unhealthy backends and application access problems.
DNS & DHCP
Configure name resolution and address allocation. Explore records, zones, forwarding, caching, leases and common troubleshooting scenarios.
High Availability & Clustering
Explore redundancy, clustering, failover and quorum concepts. Identify shared dependencies and examine service behavior during failures and maintenance.
Backup & Disaster Recovery
Connect backup policies and retention with recovery objectives. Practice restoration, dependency mapping and recovery validation.
Containers & Kubernetes
Understand container images, runtimes, registries, networking and storage. Deploy and manage Kubernetes workloads, services and ingress, and troubleshoot common issues.
Infrastructure Security
Apply least privilege, secure configuration, patching and host-level controls. Review privileged access, service accounts and administrative practices.
Automation & Configuration Management
Use PowerShell, shell scripting or Ansible to automate administration and maintain repeatable configurations, with validation and error handling.
Monitoring & Observability
Use metrics, logs and traces to understand infrastructure and service behavior. Develop useful dashboards, alerts and troubleshooting workflows.
AIOps
Explore how AI and analytics support IT operations through event correlation, anomaly detection, incident triage and assisted root-cause analysis.
Site Reliability Engineering (SRE)
Apply reliability engineering practices across services. Explore indicators, objectives, error budgets, incident response, capacity planning and automation.
Infrastructure Migration
Plan migrations across servers, operating systems, virtualization platforms and storage. Explore dependencies, sequencing, cutover, rollback and validation.
DevOps & Delivery Practices
Explore Git, CI/CD pipelines, artifact management and deployment workflows. Connect development and operations through testing, release controls and rollback.
Data & Analytics Infrastructure
Understand the infrastructure supporting databases, warehouses, data lakes and analytics, including connectivity, access, storage and availability.
Hands-On Infrastructure Learning
Configure systems. Investigate failures. Verify the result.
Guided exercises connect technical concepts with observable behavior. Practical coverage is selected according to the technologies and responsibilities included in your program.
Build and administer a server
Configure Windows or Linux, establish access and verify services, permissions, status and logs.
Investigate identity or DNS
Trace a failed login or name-resolution request across directory, DNS, connectivity and client configuration.
Review platform performance
Examine storage, virtualization, capacity and workload behavior before recommending changes.
Diagnose an unhealthy backend
Inspect health checks, network controls and listeners, then verify the complete request path.
Deploy a containerized workload
Work with images and Kubernetes resources, service connectivity and persistent storage.
Validate recovery and migration
Restore or rehearse migration, checking dependencies, integrity, access and acceptance criteria.
Automate administration
Create a configuration or delivery workflow with validation, error handling and rollback considerations.
Investigate service dependencies
Use telemetry to examine reliability, connectivity, permissions, storage and data-workload requirements.
Exercises use an agreed lab environment. Platforms, versions, access requirements and practical depth are confirmed before delivery.
Training for Different Responsibilities
Match the learning path to the work participants perform.
Foundational programs introduce required concepts. Specialist workshops may require existing administration, networking, scripting or container-platform experience.
| Audience | Learning priorities |
|---|---|
| Professionals entering infrastructure roles | Operating systems, networking and core administration |
| Windows and identity administrators | Windows Server, Active Directory, Group Policy and troubleshooting |
| Linux administrators | Services, permissions, filesystems and automation |
| Network and support teams | Connectivity, DNS, DHCP and load balancing |
| Virtualization and storage teams | Resource allocation, capacity, performance and availability |
| Platform and DevOps teams | Containers, Kubernetes, configuration automation and delivery pipelines |
| Operations and reliability teams | Observability, incident response, recovery, AIOps and SRE |
| Migration teams | Dependencies, sequencing, cutover, rollback and validation |
| Data-platform infrastructure teams | Hosting, connectivity, access, storage and availability |
| Technical leads | Cross-platform dependencies, maintenance and operational ownership |
Customized Corporate Programs
Build training around your technology stack.
Your team may need to administer an existing platform, prepare for a migration, improve deployment practices or take ownership of a service.
Select one training area or combine related technologies into a structured program.
Review the environment
Identify relevant platforms, services and dependencies.
Define responsibilities
Establish what participants need to configure, administer, migrate or troubleshoot.
Assess existing knowledge
Identify prerequisites and areas requiring reinforcement.
Choose practical scenarios
Select exercises that reflect the intended work.
Review understanding
Discuss results, configuration choices and further practice needs.
Flexible Training Delivery
Make time for practice and technical discussion.
Formats include structured corporate programs, focused workshops, bootcamps and technical enablement sessions.
Live Virtual Training
Interactive online instruction with demonstrations, guided labs and troubleshooting discussions for distributed teams.
Classroom / On-Site Training
Face-to-face learning with practical exercises, group investigation and direct technical interaction.
Hybrid Training
A combination of remote and classroom sessions arranged around the audience and learning objectives.
Frequently Asked Questions
Infrastructure training, clarified.
Which operating systems and platforms are covered?
Technologies and versions are selected according to your environment, objectives and lab arrangements.
How does DevOps differ from infrastructure automation?
Infrastructure automation provisions and maintains configurations. DevOps connects development and operations through version control, testing, delivery pipelines and feedback.
What is the difference between Monitoring, AIOps and SRE?
Monitoring and observability describe system behavior. AIOps applies analytics and AI to selected tasks. SRE provides practices for managing reliability.
Does Data & Analytics Infrastructure include business intelligence and data science?
The focus is infrastructure supporting data platforms. SQL, modeling, dashboards and data science require separately agreed programs.
Can migration training use our planned project as a scenario?
Yes. Approved requirements and sanitized diagrams can support exercises involving dependencies, sequencing, cutover and validation.
How does this differ from Data Center Training?
This page focuses on configuring, administering and troubleshooting IT systems. Data Center Training focuses on facilities, power, cooling, racks, cabling and physical operations.
How does this differ from System Design & Architecture Training?
Infrastructure training emphasizes implementation and operations. Architecture training emphasizes requirements, alternatives, capacity assumptions and design trade-offs.
Can the program include hybrid infrastructure?
Yes. Sessions can examine how networking, identity, management, delivery and recovery extend between on-premises and cloud environments.
Do participants need production access?
No. Practical exercises can use a separate lab environment.
Are labs, licenses and software included?
Lab arrangements, software requirements, licenses and associated costs are confirmed as part of the engagement.
Can training support an operational handover?
Yes. Sessions can focus on dependencies, administration tasks, monitoring, documentation and escalation responsibilities.
Discuss Your Infrastructure Training Requirements
Prepare your team to operate the environment it supports.
Whether your priority is server administration, Kubernetes, infrastructure migration or stronger delivery and reliability practices, build the training around the responsibilities your team needs to handle.
Share your technology stack, participant experience and learning objectives to shape a practical corporate program.