Online or onsite, instructor-led live Containers and Virtual Machines (VMs) training courses demonstrate through hands-on practice the fundamentals and advanced topics of Containers and Virtual Machines (VMs).
Containers and Virtual Machines (VMs) training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Containers and Virtual Machines (VMs) trainings in Tunis can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
North Urban Centre
Lot B17, Tunis, tunisia
Location close to the airport in Tin, this stylish venue offers a relaxed and comfortable environment, conducive to a great learning experience.
This modern venue provide everything you need, while Tunis’ UNESCO monuments create a memorable atmosphere for any event.
Kubernetes is a container orchestration platform widely used for managing distributed applications at scale.
This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to apply AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.
At the completion of this program, participants will be able to:
Apply AI/ML models to improve workload scheduling decisions in Kubernetes.
Use predictive analytics to optimize CPU, GPU, and memory allocation.
Implement intelligent autoscaling using reinforcement learning and metric forecasting.
Reduce infrastructure cost and latency through automated resource optimization.
Format of the Course
Instructor-guided technical presentations and deep-dive discussions.
Hands-on lab work using real Kubernetes clusters.
Practical exercises applying AI models to real operational scenarios.
Course Customization Options
To tailor this course to your platform setup or operational requirements, please contact us for customization.
MLOps on Kubernetes is a framework for automating the training, validation, packaging, and deployment of machine learning models using containerized pipelines and GitOps workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to build automated, scalable MLOps pipelines on Kubernetes.
After completing this training, participants will be equipped to:
Design end-to-end CI/CD pipelines for machine learning.
Implement GitOps workflows for model deployment and versioning.
Automate training, testing, and packaging of ML models.
Integrate monitoring, alerting, and rollback strategies.
Format of the Course
Instructor-guided presentations and technical deep dives.
Hands-on exercises that build real-world CI/CD workflows.
Live-lab practice deploying ML workloads to Kubernetes.
Course Customization Options
Organizations may request tailored content aligned with their internal MLOps tools and infrastructure.
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.
CI/CD for AI is a structured approach to automating model packaging, testing, containerization, and deployment using continuous integration and continuous delivery pipelines.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.
As the training concludes, participants will be able to:
Create automated pipelines for building and testing AI model containers.
Implement version control and reproducibility for model lifecycles.
Integrate automated deployment strategies for AI services.
Apply CI/CD best practices tailored to machine learning operations.
Format of the Course
Instructor-guided presentations and technical discussions.
Practical labs and hands-on implementation exercises.
Realistic CI/CD workflow simulations in a controlled environment.
Course Customization Options
If your organization requires customized pipeline workflows or platform integrations, please contact us to tailor this course.
This instructor-led, live training in Tunis (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.
By the end of this training, participants will be able to:
Set up Prometheus and Grafana for Kubernetes monitoring.
Monitor key metrics for pods, nodes, and services.
Create dynamic dashboards to visualize cluster health and performance.
Implement alerting strategies for proactive issue resolution.
Apply best practices for scaling monitoring solutions in Kubernetes environments.
This instructor-led, live training in Tunis (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.
Docker is a containerization platform used to build portable, isolated, and secure deployment environments for AI inference services.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level technical professionals who wish to build secure, portable AI inference microservices that can be deployed consistently across local machines, servers, or cloud VMs.
By the conclusion of this workshop, participants will be able to:
Build lightweight inference containers for local and cloud deployment.
Secure containerized AI services using best-practice techniques.
Implement portable microservice workflows for consistent environments.
Deploy AI inference endpoints across diverse infrastructures.
Format of the Course
Guided lectures paired with practical demonstrations.
Hands-on exercises to reinforce deployment and security techniques.
Live-lab practice for building and running portable inference services.
Course Customization Options
To tailor this training to your infrastructure or AI tooling stack, please contact us to arrange.
In this instructor-led, live training in Tunis (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.
This instructor-led, live training in Tunis (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 Tunis (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.
Learn the fundamentals of containers, Kubernetes and OpenShift in a practical, hands-on training designed for developers, DevOps engineers and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources and use OpenShift to streamline modern application delivery in cloud and hybrid environments.
Docker is a containerization platform used to build reproducible, portable, and scalable environments for ML systems.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level technical professionals who wish to containerize and operationalize complete ML pipelines using Docker.
Upon completion of this training, participants will be able to:
Containerize ML training, validation, and inference workloads.
Design and orchestrate end-to-end ML pipelines using Docker and supporting tools.
Implement versioning, reproducibility, and CI/CD for ML components.
Deploy, monitor, and scale ML services in containerized environments.
Format of the Course
Interactive lectures supported by practical demonstrations.
Hands-on exercises focused on building real ML pipeline components.
Live-lab implementation for end-to-end containerized workflows.
Course Customization Options
For customized training aligned with specific ML infrastructure needs, please contact us to discuss options.
Docker is a containerization platform that enables consistent, portable, and reproducible environments for AI and machine learning workloads.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to package ML codebases, dependencies, and models using Docker for reliable development-to-production workflows.
After completing this course, participants will be able to:
Build and manage Docker images tailored for AI and ML applications.
Containerize machine learning pipelines, tools, and dependencies.
Optimize Docker environments for performance and portability.
Deploy containerized ML services across different runtime environments.
Format of the Course
Concept demonstrations supported by guided discussion.
Hands-on exercises focused on real-world containerization tasks.
Practical implementation using live-lab Docker environments.
Course Customization Options
To customize this training for your organizational environment, please contact us to arrange.
This instructor-led, live training in Tunis (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.
This instructor-led, live training in Tunis (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 Tunis (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.
By the end of this training, participants will be able to:
Develop microservices using Spring Boot and Spring Cloud.
Containerize applications with Docker and Docker Compose.
Implement service discovery, API gateways, and inter-service communication.
Monitor and secure microservices in production environments.
Deploy and orchestrate microservices using Kubernetes.
This instructor-led, live training in Tunis (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.
In this instructor-led, live training in Tunis (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.
The Certified Kubernetes Administrator (CKA) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
Kubernetes is nowadys a leading platform used for containers orchestration.
NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training companies worldwide in field of containerization.
Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.
This instructor-led, live training (online or onsite) is aimed at System Administrators, Kubernetes users who wish to confirm their knowledge by passing CKA exam.
On the other hand, training is focused also on gaining practical experience in Kubernetes Administration, so we recommend taking part in it, even if you don't intend to take CKA exam.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
This instructor-led, live training (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster.
By the end of this training, participants will be able to:
Use Kubernetes to deploy and manage different environments under the same cluster
Secure, scale and monitor a Kubernetes cluster
Format of the Course
Interactive lecture and discussion
Lots of exercises and practice
Hands-on implementation in a live-lab environment
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Istio is an open-source service mesh that runs on Kubernetes to provide secure, observable, and manageable connectivity between microservices. By leveraging Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications with mTLS, gain deep observability into traffic, and improve reliability at scale.
This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers who wish to deploy, secure, and manage microservices applications using Istio on Kubernetes.
By the end of this training, participants will be able to:
Install and configure Istio on Kubernetes clusters.
Understand and apply service mesh concepts including traffic management, security, and observability.
Deploy microservices applications within an Istio service mesh.
Secure service-to-service communications with mutual TLS (mTLS) and Zero Trust principles.
Monitor, trace, and troubleshoot microservices with Prometheus, Grafana, and Jaeger.
Integrate Istio with Calico for advanced network policies and security.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Tunis (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and Gitlab to automate the DevOps lifecycle.
By the end of this training, participants will be able to:
Automate application builds, tests, and deployments.
Create an automated build infrastructure.
Deploy an application to a containerized cloud environment.
This instructor-led, live training in Tunis (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes.
By the end of this training, participants will be able to:
Setup and configure the Kubernetes system to start developing with a serverless architecture.
Understand the concepts and principles foundational to serverless environments.
Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
Practice their skill in Python programming language and apply it to implement serverless systems.
Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
Utilize modern cloud computing methods in optimizing DevOps task processing workflows.
This instructor-led, live training in Tunis (online or onsite) is aimed at engineers who wish to advance their knowledge of Docker so as to deploy applications at a larger scale while maintaining control.
By the end of this training, participants will be able to:
Build their own Docker images.
Deploy and manager large number of Docker applications .
Evaluate different container orchestration solutions and choose the most suitable one.
Set up a continuous integration process for Docker applications.
Integrate Docker applications with existing continuous tools integration processes.
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.
OpenShift is one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid and on-premises environments.
This hands-on training teaches participants how to install, administer and troubleshoot OpenShift clusters while applying security, networking and storage best practices. Through practical exercises, participants gain the skills needed to confidently manage production-ready OpenShift environments.
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.
This instructor-led, live training in Tunis (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.
Read more...
Last Updated:
Testimonials (4)
Training being interactive. He engaged us a lot by asking questions and imaginary use cases. He shifted away from his agenda to explain more of the things we are demanded.
Berk Ozdilek - Deutsche Bank
Course - Kubernetes Advanced
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
The training met expectations with its clear explanations, real-world examples, and hands-on labs that made complex topics easy to understand. It provided valuable insights into container orchestration, security, scaling and many other advanced topics.
Online Containers and Virtual Machines (VMs) training in Tunis, Containers and Virtual Machines (VMs) training courses in Tunis, Weekend Containers and Virtual Machines (VMs) courses in Tunis, Evening Containers and Virtual Machines (VMs) training in Tunis, Containers and Virtual Machines (VMs) instructor-led in Tunis, Containers and Virtual Machines (VMs) private courses in Tunis, Containers and Virtual Machines (VMs) one on one training in Tunis, Containers and Virtual Machines (VMs) instructor in Tunis, Online Containers and Virtual Machines (VMs) training in Tunis, Containers and Virtual Machines (VMs) on-site in Tunis, Weekend Containers and Virtual Machines (VMs) training in Tunis, Containers and Virtual Machines (VMs) classes in Tunis, Containers and Virtual Machines (VMs) trainer in Tunis, Containers and Virtual Machines (VMs) boot camp in Tunis, Evening Containers and Virtual Machines (VMs) courses in Tunis, Containers and Virtual Machines (VMs) coaching in Tunis, Containers and Virtual Machines (VMs) instructor-led in Tunis
