Containers and Virtual Machines (VMs) Training in Abu Dhabi

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

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

By 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 is a widely used container orchestration platform that efficiently manages distributed applications at scale.

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

Upon completing this program, participants will be able to:

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

Format of the Course

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

Course Customization Options

• To customize this course according to your platform setup or specific operational needs, please contact us for personalized options.

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 is a scalable platform designed for deploying, serving, and managing machine learning models in production environments.

This instructor-led, live training (available both online and on-site) is targeted at intermediate-level professionals who aim to operationalize ML models reliably using Kubernetes.

Upon completing this training, participants will gain the skills to:

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

Format of the Course

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

Course Customization Options

• If you need this course tailored to your specific environment or toolchain, please contact us to discuss customization options.

This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.

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

• Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for container orchestration.
• Learn how to execute Kubernetes operations using the command line tools.
• Get a hands-on experience from basic to advanced Kubernetes operations and administration.

In this instructor-led, live training in Abu Dhabi (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 Abu Dhabi (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.

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

• Understand the Kubernetes architecture and its components.
• Isolate resources effectively using Namespaces.
• Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
• Define computational resources using Requests and Limits.
• Work with Jobs and CronJobs for scheduled tasks.
• Understand Services and DNS within Kubernetes.
• Expose applications using Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters using advanced strategies.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at intermediate-level to advanced-level 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 Abu Dhabi (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

DO180 is an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts focused on hands-on skills.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level 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 with 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 Abu Dhabi (online or onsite) 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 Abu Dhabi (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a 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 Abu Dhabi (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 Abu Dhabi (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 Abu Dhabi (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

Training objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

In this instructor-led, live training in Abu Dhabi (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking 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) program was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes is currently a leading platform for container orchestration.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also assisted our clients in validating their proficiency in k8s environments by preparing them and motivating them to pass the CKA and CKAD exams.

This instructor-led live training (online or on-site) is designed for System Administrators and Kubernetes users who wish to validate their knowledge through the CKA exam.

Additionally, the course focuses on 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.
• A multitude of exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options for the Course

• To request a customized training, please contact us to arrange it.
• To learn more about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

In this instructor-led, live training in Abu Dhabi (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 aims to equip participants with the essential tools needed to handle the practical aspects of Docker and Kubernetes, ensuring they acquire the requisite skills for effective program management.

In this instructor-led, live training in Abu Dhabi, 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 public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led, live training in Abu Dhabi, 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 public cloud or on a hosted cloud.

This instructor-led, live training session (conducted online or at your premises) is designed for engineers who aim to automate, secure, and monitor containerized applications within a large-scale Kubernetes cluster.

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

• Utilize Kubernetes to deploy and manage various environments within the same cluster
• Implement security measures, scaling, and monitoring for a Kubernetes cluster

Course Format

• Engaging lectures combined with discussions
• A multitude of exercises and practice sessions
• Practical implementation in a live-lab setting

Customization Options for the Course

• To arrange a customized training session, please contact us.

The Certified Kubernetes Application Developer (CKAD) program has been created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which oversees Kubernetes.

This instructor-led training session, whether online or in person, is designed for Developers looking to validate their abilities in designing, building, configuring, and deploying cloud-native applications on Kubernetes.

Moreover, the training emphasizes practical experience in developing Kubernetes applications. Therefore, we recommend participating even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed projects, we have become one of the leading training providers globally in containerization. Since 2019, we have also assisted our clients in demonstrating their proficiency in k8s environments by preparing them for and encouraging them to pass CKA and CKAD exams.

Course Format

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

Customization Options for the Course

• To request customized training, please contact us to arrange it.
• For more information on CKAD, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Abu Dhabi 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 connect, monitor, and secure microservices.

This instructor-led training session (held either online or at your location) targets engineers looking to connect, secure, and manage cloud-based applications (microservices) using a service mesh based on Istio.

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

• Install and configure Istio on Kubernetes.
• Grasp the concept of service meshes and implement one using Istio.
• Deploy an Istio-based service mesh over Kubernetes.
• Leverage a service mesh to operate, manage, and monitor microservices in the cloud.

Course Format

• Interactive lectures combined with discussions.
• A multitude of exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Customization Options for the Course

• To request a customized training session, please contact us to arrange further details.
• For more information on Istio, visit: https://istio.io/

EKS is AWS's self-managed Kubernetes-as-a-service solution. It offers full scalability and customization, enabling Kubernetes deployments that can mirror or integrate with existing on-premise setups.

This instructor-led live training will guide participants through setting up and managing a container environment at production scale using Kubernetes on EKS.

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

• Set up and manage Kubernetes on EKS
• Migrate an existing on-premise Kubernetes setup to AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) tools
• Ensure high availability and disaster recovery in a Kubernetes environment
• Leverage the available tools for efficient EKS management

Audience

• Developers
• System Administrators
• DevOps Engineers

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice in a live-lab setting.

Note

• To arrange for a customized training session, please contact us to make the necessary arrangements.

The advancement of microservices and containers over the past few years has profoundly transformed our approach to designing, developing, deploying, and managing software. Contemporary applications need to be tailored for scalability, flexibility, resilience, and adaptability. In response to these evolving needs, modern architectural designs necessitate a distinct set of strategies and methodologies. This training delves into methods for recognizing, comprehending, and adapting to these new demands.

Audience
This course is aimed at individuals who have some knowledge of container technology and Kubernetes principles but may lack practical experience. It draws on real-world scenarios and insights from actual projects with the goal of motivating participants to build and oversee superior cloud-native applications.

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

Course Format

• Interactive lectures and discussions
• Numerous exercises and practical sessions
• Hands-on implementation in a live-lab setting

Customization Options for the Course

• To request tailored training for this course, please contact us to make arrangements.

This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Abu Dhabi (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 Abu Dhabi, 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 Abu Dhabi (onsite or remote), participants will learn how to 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 Abu Dhabi (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 in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up 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 for deploying containerized applications.

In this instructor-led live training session (conducted either onsite or remotely), participants will learn how to establish a project based on the OSGi framework by progressing through the deployment of a modular Java application using Apache Karaf.

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

• Install and configure Apache Karaf
• Grasp the core functionalities of the OSGi runtime environment
• Create a containerized application utilizing the Apache Karaf runtime environment

Audience

• Architects
• Developers

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

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

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

In this instructor-led, live training in Abu Dhabi, we cover advanced techniques and troubleshooting for Microsoft Application Virtualization (App-V), especially in the area of 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 provides 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 that leverages the Apache Mesos project. Similar to how the Linux kernel operates, Apache Mesos was developed with comparable principles but at a different level of abstraction. The Mesos kernel is installed on each machine and offers APIs for resource management and scheduling across entire data centers and cloud environments to applications like Hadoop, Spark, Kafka, and Elasticsearch. By abstracting CPU, memory, storage, and other computational resources from both physical and virtual machines, Apache Mesos facilitates the construction and effective operation of fault-tolerant and elastic distributed systems.

DC/OS integrates Mesos with over 30 applications to create a unified system, much like how a Linux distribution combines the Linux kernel with various applications to form a functional operating system.

This course offers participants an overview of Apache Mesos and DC/OS, along with practical demonstrations on deploying and managing a comprehensive Data Center Operating System through hands-on exercises.

Audience

• System administrators
• DevOps engineers

Format of the course

• Mixed lecture and discussion, with a strong emphasis on practical hands-on activities

This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at DevOps engineers and developers who wish to use Fedora CoreOS to reduce the maintenance and upgrade costs of running  containerized applications on Kubernetes.

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

• Install and configure Fedora CoreOS.
• Set up 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 Abu Dhabi (online or onsite) is aimed at DevOps engineers who wish 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 Abu Dhabi (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.

In this instructor-led, live training in Abu Dhabi (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4.

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

• Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Create, configure, manage, and troubleshoot an OpenShift cluster.
• Implement Openshift's self-manage capabilities to improve platform stability and consistency.
• Secure OpenShift Container Platform.
• Monitor and gather metrics.
• Manage storage.
• Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.

Red Hat OpenShift Administration II: Configuring a Production Cluster (DO280) prepares OpenShift Cluster Administrators to perform daily administration tasks on clusters that host applications provided by internal teams and external vendors, enable self-service for cluster users with different roles, and deploy applications that require special permissions such as such as CI/CD tooling, performance monitoring, and security scanners. This course focuses on configuring multi-tenancy and security features of OpenShift as well as managing OpenShift add-ons based on operators.

In this instructor-led, live training in Abu Dhabi (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:

• Undersand OCI (Open Containers Initiative) and its implications for using container enginees 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 Abu Dhabi (online or onsite) is aimed at 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 Abu Dhabi (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python.

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

• Create Python programs to seek network vulnerabilities.
• Explore and use Kali web shells and shellcode in exploits.
• Apply various Kali tools for penetration testing.
• Exploit systems with Python.

This hands-on course is designed for system administrators, developers, embedded developers, and regular desktop users (including managers) who are looking for an introduction to virtualization. Upon completion of this course, administrators will have the skills to establish private clouds for production use, while developers can test their code across various operating systems without needing additional hardware like a second PC or non-x86 boards.

We recognize that the diverse range of topics in this course may not be pertinent to every participant. When you register for the course, please indicate your specific goals with QEMU or KVM, and we will tailor the content by shifting focus from less relevant areas to those that are crucial for your needs.

This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at intermediate-level infrastructure professionals who wish to use Red Hat OpenShift to deploy, manage, and troubleshoot production containerized workloads.

By the end of this training, participants will be able to manage OpenShift clusters via CLI and web console, deploy applications with container images and Kubernetes manifests, troubleshoot networking and storage issues, and configure workloads for high availability and updates.

This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at intermediate-level virtualization administrators who wish to use 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