Containers and Virtual Machines (VMs) Training in Sharjah

Edge AI represents a paradigm focused on executing machine learning inference close to data sources to achieve low-latency, efficient, and scalable processing.

This instructor-led, live training (available online or onsite) targets intermediate to advanced-level practitioners who wish to deploy, orchestrate, and optimize AI workloads on Kubernetes-based edge environments.

Upon completing this course, participants will be able to:

• Set up lightweight Kubernetes distributions for edge deployments.
• Deploy AI inference workloads effectively across constrained edge nodes.
• Manage connectivity challenges and synchronization patterns.
• Optimize performance, storage, and networking for real-world edge scenarios.

Format of the Course

• Guided presentations supported by real-world examples.
• Scenario-based labs and practical edge deployment exercises.
• Hands-on experience with Kubernetes edge frameworks.

Course Customization Options

• To request a customized training tailored to your edge platform needs, please contact us to arrange.

Kubernetes serves as a leading container orchestration platform, extensively utilized for managing distributed applications at scale.

This live, instructor-led training session (available online or onsite) is designed for advanced practitioners looking to leverage AI and machine learning techniques to enhance Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be equipped to:

• Deploy AI/ML models to refine workload scheduling decisions within Kubernetes.
• Utilize predictive analytics to optimize CPU, GPU, and memory allocation.
• Implement intelligent autoscaling mechanisms using reinforcement learning and metric forecasting.
• Lower infrastructure costs and reduce latency through automated resource optimization.

Course Format

• Instructor-guided technical presentations and in-depth discussions.
• Practical lab exercises using real Kubernetes clusters.
• Hands-on exercises applying AI models to real-world operational scenarios.

Course Customization Options

• To tailor this course to your specific platform setup or operational needs, please contact us for customization.

Kubeflow is an open-source platform designed to streamline building, training, and deploying machine learning workloads on Kubernetes.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to build reliable ML workflows using Kubeflow.

Upon completion of this training, attendees will gain the skills to:

• Navigate the Kubeflow ecosystem and core components.
• Build reproducible workflows with Kubeflow Pipelines.
• Run scalable training jobs on Kubernetes.
• Serve machine learning models efficiently using Kubeflow Serving.

Format of the Course

• Guided presentations and collaborative discussions.
• Hands-on labs with real Kubeflow components.
• Practical exercises to build end-to-end ML workflows.

Course Customization Options

• Customized versions of this training can be arranged to align with your team’s technology stack and project requirements.

Kubernetes serves as a robust, scalable platform for deploying, serving, and managing machine learning models within production environments.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals seeking to reliably operationalize ML models on Kubernetes.

Upon completion, participants will acquire the skills to:

• Containerize and prepare ML models for efficient deployment.
• Serve models using modern inference frameworks.
• Optimize workloads through autoscaling, GPU configuration, and resource tuning.
• Implement model rollout strategies such as A/B testing and canary deployments.

Course Format

• A blend of lectures, architectural analysis, and guided discussion.
• Extensive practical exercises based on real-world deployment scenarios.
• Hands-on implementation within a live Kubernetes environment.

Course Customization Options

• For courses tailored to your specific environment or toolchain, please contact us to discuss customization options.

This instructor-led, live training session (online or onsite) is designed for DevOps engineers and developers seeking to utilize Kubernetes for constructing, deploying, and managing containers and cluster components in a secure and scalable environment.

By the conclusion of this course, participants will be able to:

• Grasp the architecture, core concepts, and essential components of the Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for effective container orchestration.
• Learn to execute Kubernetes operations via command-line tools.
• Acquire hands-on experience spanning from basic to advanced Kubernetes operations and administration.

In this instructor-led, live training in Sharjah (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Set up and run a Docker container.
• Deploy containerized databases and servers.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage different environments under the same cluster.
• Secure, scale and monitor a Kubernetes cluster.

This instructor-led, live training in Sharjah (online or onsite) targets intermediate-level professionals seeking to effectively deploy, manage, and scale containerized applications using Kubernetes.

By the conclusion of this training, participants will be capable of:

• Gaining a comprehensive understanding of Kubernetes architecture and its core components.
• Effectively isolating resources through Namespaces.
• Managing and customizing workloads via Deployments, StatefulSets, and DaemonSets.
• Defining computational resource requirements using Requests and Limits.
• Utilizing Jobs and CronJobs for scheduled task execution.
• Understanding the roles of Services and DNS within the Kubernetes ecosystem.
• Exposing applications via Ingress resources.
• Managing ConfigMaps, Secrets, and Persistent Volumes.
• Scaling and upgrading Kubernetes clusters through advanced strategies.
• Analyzing and troubleshooting Kubernetes-related issues.
• Deploying resources efficiently using Helm Charts.

This instructor-led, live training in Sharjah (online or onsite) is aimed at intermediate to advanced developers, DevOps professionals, and architects who wish to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.

By the end of this training, participants will be able to:

• Understand and implement microservices architecture.
• Deploy and manage containerized applications with Docker and Kubernetes.
• Set up and optimize CI/CD pipelines for automated deployments.
• Apply best practices for security, monitoring, and observability.

This instructor-led, live training in Sharjah (online or onsite) is designed for advanced platform engineers and DevOps professionals seeking to master application scaling via microservices and Kubernetes.

Upon completion of this training, participants will be capable of:

• Designing and implementing scalable microservices architectures.
• Deploying and managing applications on Kubernetes clusters.
• Leveraging Helm charts for streamlined service deployment.
• Monitoring and ensuring the operational health of microservices in production.
• Applying industry best practices for security and compliance within Kubernetes.

DO180 provides an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a focus on hands-on skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate technical professionals who wish to learn container workflows, Kubernetes primitives, and how to deploy and operate applications on OpenShift.

By the end of this training, participants will be able to:

• Build and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Use OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Sharjah (online or on-site) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.

By the end of this training, participants will be able to:

• Set up a Kubefirst development environment.
• Write and run a basic Kubefirst program.
• Annotate code with Kubefirst directives and clauses.
• Use Kubefirst API and libraries.
• Profile and debug Kubefirst programs.

This instructor-led, live training in Sharjah (online or onsite) targets intermediate-level developers and DevOps engineers seeking to use Minikube as part of their development workflow.

By the end of this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led, live training in Sharjah (online or onsite) is aimed at intermediate-level system administrators who wish to effectively deploy, manage, and troubleshoot Hyper-V environments.

By the end of this training, participants will be able to:

• Understand virtualization concepts and configure Hyper-V.
• Create and manage virtual machines, VM storage, and networking.
• Utilize advanced Hyper-V features and secure Hyper-V environments.
• Monitor and optimize Hyper-V performance.

This instructor-led, live training in Sharjah (online or onsite) is aimed at beginner to intermediate-level developers, system administrators, and DevOps engineers who wish to understand Kubernetes and cloud-native principles.

By the end of this training, participants will be able to:

• Set up a development environment that includes Kubernetes.
• Create a microservices application using Kubernetes.
• Deploy, manage, and scale applications in Kubernetes.
• Debug common issues in Kubernetes environments.

This instructor-led, live training in Sharjah (online or onsite) is designed for beginner to intermediate-level software developers and DevOps professionals seeking to learn how to set up and manage a local Kubernetes environment using Minikube.

Upon completion of this training, participants will be able to:

• Install and configure Minikube on their local machines.
• Gain a clear understanding of the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Establish persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for developing, testing, and debugging applications.

Training Objectives: Gain theoretical and practical skills in Docker and Kubernetes.

In this instructor-led live training at Sharjah (onsite or remote), participants will learn how to create and manage Docker containers, followed by deploying a sample application within a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training progresses to advanced topics, guiding participants through the process of securing, scaling, and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Set up and run a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale and monitor a Kubernetes cluster.

The Certified Kubernetes Administrator (CKA) certification program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as the premier platform for container orchestration.

Since 2015, NobleProg has been providing specialized Docker and Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the world's leading training providers in the field of containerization.

Since 2019, we have also been supporting our clients in validating their Kubernetes skills by preparing them to pass the CKA and CKAD exams.

This instructor-led, live training is available either online or onsite and is designed for System Administrators and Kubernetes users who wish to validate their expertise by passing the CKA exam.

Furthermore, the training emphasizes gaining practical experience in Kubernetes Administration. Therefore, we recommend participating even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

In this instructor-led, live training in Sharjah (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on AKS.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premise to AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

This hands-on course is designed to equip participants with the essential tools and practical knowledge required for Docker and Kubernetes. By the end of the training, attendees will possess the necessary skills to effectively manage and deploy their applications.

In this instructor-led, live training in Sharjah, participants will learn how to manage Red Hat OpenShift Container Platform.

By the end of this training, participants will be able to:

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premise, in the public cloud, or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led, live training in Sharjah, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

By the end of this training, participants will be able to:

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in the public cloud, or on a hosted cloud.

This instructor-led training session, available online or on-site, is designed for engineers looking to automate, secure, and monitor containerized applications within large-scale Kubernetes clusters.

Upon completing this course, participants will be capable of:

• Utilizing Kubernetes to deploy and manage multiple environments within a single cluster
• Securing, scaling, and monitoring a Kubernetes cluster

Course Format

• Interactive lectures and discussions
• Extensive exercises and practical application
• Hands-on implementation in a live laboratory environment

Customization Options

• To request tailored training for this course, please reach out to us to arrange your preferences.

The Certified Kubernetes Application Developer (CKAD) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which serves as the host for Kubernetes.

This instructor-led live training, available either online or onsite, is designed for developers who want to validate their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Additionally, the training emphasizes gaining practical experience in Kubernetes application development. Therefore, we recommend participating even if you do not plan to take the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training companies globally in the field of containerization. Since 2019, we have also been helping our customers validate their performance in Kubernetes environments by preparing and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Sharjah provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

Istio is an open-source service mesh designed to operate on Kubernetes, delivering secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep observability into traffic patterns, and enhance reliability at scale.

This instructor-led live training (available online or onsite) targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio on Kubernetes.

Upon completing this training, participants will be capable of:

• Installing and configuring Istio within Kubernetes clusters.
• Grasping and applying service mesh concepts, including traffic management, security, and observability.
• Deploying microservices applications within an Istio service mesh.
• Securing service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
• Monitoring, tracing, and troubleshooting microservices using Prometheus, Grafana, and Jaeger.
• Integrating Istio with Calico to implement advanced network policies and security.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

EKS is a fully managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on EKS
• Migrate an existing Kubernetes environment from on-premise to AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) software
• Ensure high availability and disaster recovery in Kubernetes
• Understand and adopt the tools available to efficiently manage EKS

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

• To request a customized training for this course, please contact us to arrange.

The recent advancement of microservices and container technologies has fundamentally transformed the way we design, develop, deploy, and manage software. Contemporary applications are required to excel in scalability, elasticity, fault tolerance, and adaptability. To meet these evolving demands, modern architectures necessitate a distinct set of patterns and practices. This training explores strategies to identify, comprehend, and adapt to these new requirements.

Target Audience
This course is designed for individuals who possess a foundational understanding of container technology and Kubernetes concepts but may lack practical, real-world experience. Grounded in use cases and lessons learned from actual projects, the program aims to inspire participants to design and manage superior cloud-native applications.

• Developers
• Operations Specialists
• DevOps Engineers
• QA Engineers
• IT Project Managers

Course Format

• Interactive lectures and discussions
• Extensive exercises and practical application
• Hands-on implementation within a live lab environment

Course Customization Options

• To arrange customized training for this course, please contact us.

This instructor-led, live training in Sharjah (online or onsite) is designed for engineers seeking to leverage Helm to streamline the installation and management of Kubernetes applications.

Upon completion of this training, participants will be able to:

• Install and configure Helm.
• Build reproducible Kubernetes application configurations.
• Distribute applications as Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage Helm package releases.

This instructor-led, live training in Sharjah (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters.

By the end of this training, participants will be able to:

• Install and configure Calico.
• Understand how Calico differs from traditional overlay networks.
• Understand how Calico combines internet routing protocols with consensus-based data stores.
• Use Calico to create a container networking solution for Kubernetes clusters.
• Use Calico to provide network policy for Kubernetes.

In this instructor-led live training in Sharjah, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on Google Cloud.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Google Cloud.
• Migrate an existing Kubernetes environment from on-premise to Google Cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

In this instructor-led, live training in Sharjah (onsite or remote), participants will learn how to install, configure, and manage OKD on-premise or in the cloud.

By the end of this training, participants will be able to:

• Create, configure, manage, and troubleshoot an OKD cluster.
• Secure OKD.
• Deploy containerized applications on OKD.
• Monitor the performance of an application running in OKD.
• Manage data storage.
• Quickly deploy applications on-premise or on a public cloud such as AWS.

This instructor-led, live training in Sharjah (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the CKS exam.

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

This instructor-led, live training (available online or on-site) is designed for engineers who wish to evaluate each of these services to make informed decisions regarding deployment within their organization.

By the end of this training, participants will be able to:

• Establish a development environment that includes all the necessary libraries, packages, and frameworks required to start developing.
• Set up, configure, and deploy a series of demo containers using various approaches.
• Understand the architectural and design differences among various Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Establish a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

Apache Karaf serves as an OSGi-based runtime environment designed for deploying containerized applications.

Through this instructor-led live training (available onsite or remotely), participants will gain practical knowledge on establishing an OSGi-based project by navigating the deployment of a modular Java application utilizing Apache Karaf.

Upon completion of this training, participants will be capable of:

• Installing and configuring Apache Karaf
• Gaining insight into the core features of the OSGi runtime environment
• Developing a containerized application within the Apache Karaf runtime environment

Audience

• Architects
• Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

Note

• For customized training requests, please reach out to us to make arrangements.

In this instructor-led, live training in Sharjah, we introduce the architecture, components, and processes behind application virtualization and guide participants step-by-step through the deployment of App-V and its applications in a live lab environment. By the end of the course, participants will have the knowledge and hands-on practice required to install, configure, administer, and troubleshoot App-V, as well as to create, package, and deploy their own App-V applications.

In this instructor-led, live training in Sharjah, we cover advanced techniques and troubleshooting for Microsoft Application Virtualization (App-V), with a particular emphasis on sequencing and packaging.

By the end of the course, participants will have a deep understanding of App-V and be able to sequence, troubleshoot, and resolve complex issues.

This 7-day programme offers a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

DC/OS (Distributed Cloud Operating System) is an open-source distributed operating system developed on the Apache Mesos project. Built upon principles similar to the Linux kernel but operating at a distinct level of abstraction, the Mesos kernel runs on every machine in the network. It provides essential APIs for resource management and scheduling to applications such as Hadoop, Spark, Kafka, and Elasticsearch across entire data center and cloud environments. By abstracting CPU, memory, storage, and other compute resources from physical or virtual machines, DC/OS enables the effortless construction and execution of fault-tolerant, elastic distributed systems.

DC/OS unites Mesos with over 30 applications into a single, coherent system. This approach mirrors how a Linux distribution packages the Linux kernel alongside various applications to create a functional operating system.

This course offers participants a comprehensive overview of Apache Mesos and DC/OS, demonstrating through practical, hands-on exercises how to deploy and manage a complete Data Center Operating System.

Audience

• System administrators
• DevOps engineers

Format of the course

• A blend of lectures, discussions, and intensive hands-on practice

This instructor-led, live training (online or onsite) is designed for DevOps engineers and developers who aim to utilize Fedora CoreOS to minimize the maintenance and upgrade expenses of running containerized applications on Kubernetes.

By the conclusion of this training, participants will be able to:

• Install and configure Fedora CoreOS.
• Set up a Kubernetes cluster on Fedora CoreOS.
• Run and manage Kubernetes deployments on Fedora CoreOS.
• Automatically update Fedora OS with the latest OS improvements, bug fixes, and security updates.

This instructor-led live training in Sharjah (online or on-site) targets DevOps engineers aiming to set up, deploy, and manage a Git-based software deployment workflow for their Kubernetes applications.

By the end of this training, participants will be able to:

• Install and configure Spinnaker and Terraform.
• Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IaC).
• Move away from maintaining scripts. Configure and execute well-defined deployment process.
• Apply best practices for cloud-native deployment, management, and monitoring.
• Recover deployments from partial failures without manual intervention.
• Create a GitOps strategy for application development.

This instructor-led, live training Sharjah (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform engineered by Red Hat, aimed at automating the deployment, scaling, and management of containerized applications.

This instructor-led, live training (available online or onsite) is tailored for system administrators and DevOps engineers seeking to deploy, manage, and operate OpenShift clusters within production environments.

The course adopts a hands-on approach to installing and managing OpenShift 4 clusters, leveraging Operators, securing workloads, and operating applications at scale.

Red Hat OpenShift Administration II: Configuring a Production Cluster (DO280) equips OpenShift Cluster Administrators with the expertise to handle daily administrative duties on clusters hosting applications from both internal teams and external vendors. It also enables self-service capabilities for users with varying roles and supports the deployment of applications requiring special permissions, such as CI/CD tooling, performance monitoring tools, and security scanners. The curriculum emphasizes configuring OpenShift’s multi-tenancy and security features, along with managing operator-based add-ons.

In this instructor-led live training in Sharjah (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

By the end of this training, participants will be able to:

• Understand OCI (Open Containers Initiative) and its implications for using container engines such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

This instructor-led, live training in Sharjah (online or onsite) targets DevOps engineers and developers who wish to use Podman to create, run, and manage containers and pods as a non-root user.

By the end of this training, participants will be able to:

• Install and configure Podman in rootless mode.
• Build and run containers, container images, and pods.
• Manage container networking and lifecycle.
• Use Podman instead of Docker for creating and deploying containerized applications.

This instructor-led live training in Sharjah (online or onsite) targets penetration testers aiming to test networks using Kali Linux and Python.

By the conclusion of this training, participants will be able to:

• Write Python programs to discover network vulnerabilities.
• Explore and employ Kali web shells and shellcode in exploits.
• Apply various Kali tools for penetration testing.
• Exploit systems using Python.

This hands-on course is designed for system administrators, developers, embedded developers, and desktop users (including managers) seeking a comprehensive introduction to virtualization. Upon completion, administrators will have the capability to build private clouds for production environments, while developers will be able to test their code across multiple operating systems without requiring a second PC or non-x86 hardware.

We recognize that the breadth of topics in this course may not apply equally to every participant. When booking, please specify your specific objectives with QEMU or KVM. We will tailor the curriculum by adjusting the time allocated to less relevant topics, ensuring a focus on the areas most important to your goals.

This instructor-led, live training in Sharjah (online or onsite) targets intermediate-level infrastructure professionals who wish to utilize Red Hat OpenShift to deploy, manage, and troubleshoot production containerized workloads.

By the end of this training, participants will be capable of managing OpenShift clusters via CLI and web console, deploying applications with container images and Kubernetes manifests, troubleshooting networking and storage issues, and configuring workloads for high availability and updates.

This instructor-led, live training in Sharjah (online or on-site) is aimed at intermediate-level virtualization administrators who wish to leverage open-source platforms to migrate away from VMware.

By the end of this training, participants will be able to:

• Install and configure KVM, oVirt, and Proxmox VE.
• Migrate virtual workloads from VMware.
• Implement high availability and disaster recovery.
• Optimize performance in open-source virtualization environments.

Microsoft Azure Infrastructure and Deployment