Available as online or on-site, instructor-led live training in Containers and Virtual Machines (VMs), these courses combine hands-on practice to cover both the fundamentals and advanced aspects of the technology.
You can enrol in "online live training" or "on-site live training." Online live training (also referred to as "remote live training") is delivered via an interactive remote desktop. On-site live training can be hosted locally at your premises in Durban or at NobleProg corporate training centres in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led live training in Durban centers on the deployment, orchestration, and optimization of AI workloads on Kubernetes-based edge environments. It addresses the setup of lightweight distributions, connectivity management, and performance tuning for constrained nodes. This course is particularly suited for advanced practitioners.
Master AI-driven Kubernetes operations in Durban through hands-on training. Leverage ML for intelligent scheduling and autoscaling to optimise resource usage. Decrease costs and latency by employing predictive analytics and reinforcement learning models for real-world workloads.
This live training in Durban empowers intermediate practitioners to construct automated MLOps pipelines on Kubernetes. Participants will learn to design CI/CD workflows, implement GitOps strategies, and deploy ML models using containerized infrastructure to achieve scalable and reproducible machine learning operations.
This hands-on training in Durban provides you with the necessary skills to design, train, and serve machine learning models on Kubernetes using Kubeflow. You will learn to navigate the ecosystem, author scalable pipelines, and manage production-ready workloads by adhering to best practices.
This live training on Durban automates Docker-based AI model builds and deployments via CI/CD. It encompasses packaging, testing, version control, and deployment strategies for MLOps. Participants acquire practical skills in pipeline creation and secure container management.
This instructor-led live training in Durban (online or on-site) 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 visualise cluster health and performance.
Implement alerting strategies for proactive issue resolution.
Apply best practices for scaling monitoring solutions in Kubernetes environments.
This instructor-led training in Durban focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will learn to build secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
This live Kubernetes training in Durban guides IT professionals through core concepts and hands-on lab work. Learn to deploy, scale, and manage containerized applications using kubectl, configure networking and storage, and troubleshoot clusters effectively.
This live, instructor-led training in Durban, offered online or on-site, is designed for DevOps engineers and developers aiming to utilize Kubernetes to build, deploy, and manage containers and cluster components in a secure, scalable environment.
By the end of this training, participants will be able to:
Understand the architecture, core concepts, and components of the Kubernetes ecosystem.
Set up, install, and configure Kubernetes clusters for container orchestration.
Learn to perform Kubernetes operations using command-line tools.
Gain hands-on experience ranging from basic to advanced Kubernetes operations and administration.
In this instructor-led training conducted in Durban, technical professionals acquire the skills to build secure and portable AI inference microservices using Docker. Participants develop hands-on expertise in containerizing models, securing services, and achieving consistent deployment across local, server, or cloud environments.
In this instructor-led live training held Durban (onsite or remotely), participants will learn how to deploy sample servers within containers, then automate, scale, and manage these servers in a Kubernetes cluster. The training covers advanced topics, guiding participants through 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 training in Durban empowers intermediate professionals to configure and optimise GPU-enabled AI workloads within Docker containers. Participants will learn to build CUDA-compatible images, manage multi-GPU tasks, and deploy scalable deep learning services for production environments.
This instructor-led, live training in Durban (online or onsite) targets intermediate-level professionals seeking to effectively deploy, manage, and scale containerised applications using Kubernetes.
Upon completion of this training, participants will be able to:
Grasp the Kubernetes architecture and its core components.
Effectively isolate resources via Namespaces.
Manage and customise workloads using Deployments, StatefulSets, and DaemonSets.
Define computational resources through Requests and Limits.
Utilise Jobs and CronJobs for scheduled tasks.
Understand Services and DNS within the Kubernetes ecosystem.
Expose applications via Ingress.
Manage ConfigMaps, Secrets, and Persistent Volumes.
Scale and upgrade Kubernetes clusters using advanced strategies.
This instructor-led live training in Durban (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 optimise CI/CD pipelines for automated deployments.
Apply best practices for security, monitoring, and observability.
This instructor-led, live training in Durban (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.
Master the core principles of containers, Kubernetes, and OpenShift through this practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. You will learn to build containerised applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to enhance modern application delivery across cloud and hybrid environments.
This live, instructor-led course in Durban walks professionals through the process of containerizing complete ML pipelines with Docker. Learners will gain proficiency in creating reproducible environments, managing training and inference workloads, and establishing CI/CD frameworks for scalable MLOps deployments.
This instructor-led training in Durban guides intermediate professionals through containerizing AI and ML workloads using Docker. Learners will master the creation of optimized images, dependency management, and the deployment of reliable pipelines, acquiring hands-on skills to maintain consistent, portable production environments.
This instructor-led, live training in Durban (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 Durban (online or onsite) is designed for intermediate developers and DevOps engineers who wish to integrate Minikube into their development workflows.
By the conclusion 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 Durban (available online or onsite) is intended for intermediate-level system administrators seeking to effectively deploy, manage, and troubleshoot Hyper-V environments.
Upon completion of this training, participants will be equipped to:
Grasp virtualisation concepts and configure Hyper-V.
Establish and manage virtual machines, VM storage, and networking.
Leverage advanced Hyper-V features and fortify Hyper-V environments.
This instructor-led, live training in Durban (online or onsite) targets intermediate-level developers and DevOps engineers aiming to build, deploy, and manage microservices via Spring Cloud and Docker.
Upon completion of this training, participants will be capable of:
Developing microservices leveraging Spring Boot and Spring Cloud.
Containerising applications with Docker and Docker Compose.
Implementing service discovery, API gateways, and inter-service communication.
Monitoring and securing microservices within production environments.
Deploying and orchestrating microservices using Kubernetes.
This instructor-led, live training in Durban (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals who want 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.
Utilise Minikube for developing, testing, and debugging applications.
In this instructor-led, live training Durban (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.
This instructor-led, live training in Durban prepares participants for the Certified Kubernetes Administrator (CKA) examination. It offers practical exposure to Kubernetes architecture, networking, security, and troubleshooting. It is particularly suitable for administrators aiming for certification or seeking advanced cluster management capabilities.
In this instructor-led, live training in Durban (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 containerised (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.
Learn how to build, deploy and administer containerized environments using Docker, Kubernetes and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring and practical OpenShift administration. Participants gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.
This instructor-led training in Durban enables engineers to automate, secure, and monitor large-scale Kubernetes clusters. The curriculum covers the deployment of multi-environment applications, the implementation of high-availability strategies, and the effective management of scaling and troubleshooting processes.
This instructor-led CKAD training in Durban readies developers for the Certified Kubernetes Application Developer examination through practical labs. It covers the design, construction, and securing of cloud-native applications using fundamental Kubernetes concepts, deployment strategies, and networking basics.
This instructor-led, live course in Durban provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
Gain mastery of Istio on Kubernetes through this instructor-led course in Durban. Learn to install, configure, and secure service meshes using mTLS and Zero Trust. Develop practical skills in traffic management, observability using Prometheus and Jaeger, and Calico integration to ensure production-ready microservices.
This 21-hour training in Durban delves into essential Kubernetes design patterns for microservices. Learners will acquire foundational, behavioral, structural, and configuration strategies to construct resilient, scalable, and cloud-native applications through hands-on live-lab exercises.
This instructor-led, live training in Durban (online or onsite) is designed for engineers seeking to utilise Helm to streamline the installation and management of Kubernetes applications.
Upon completion 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.
This instructor-led live training in Durban (online or on-site) 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 containerised cloud environment.
This live, instructor-led training in Durban (available online or onsite) is tailored for Kubernetes professionals seeking to prepare for the CKS certification.
Upon completion of this course, participants will understand how to secure Kubernetes environments and container-based applications across all stages of an application's lifecycle: build, deployment, and runtime.
This instructor-led live training in Durban (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 Durban (online or onsite) is designed for engineers who want to secure their Kubernetes cluster beyond the default security settings.
Upon completing this training, participants will be able to:
Identify the vulnerabilities inherent in a default Kubernetes installation.
Prevent unauthenticated access to the Kubernetes API, database, and other services.
Safeguard the Kubernetes cluster from both accidental and malicious intrusions.
Develop a comprehensive security policy along with a set of best practices.
This instructor-led, live training in Durban (delivered online or on-site) targets engineers looking to enhance their Docker expertise, allowing them to deploy applications at a larger scale while maintaining precise control.
By the conclusion of this training, participants will have the capability to:
Create their own Docker images.
Deploy and manage large volumes of Docker applications.
Evaluate distinct container orchestration solutions and select the most fitting one.
Configure a continuous integration process for Docker applications.
Integrate Docker applications with pre-existing continuous integration workflows.
This instructor-led training in Durban assists participants in mastering OSGi applications through Apache Karaf. The curriculum covers installing and configuring the runtime, exploring OSGi lifecycle fundamentals, and developing modular Java applications via practical exercises and real-world deployment techniques.
This intensive 7-day programme offers a thorough, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.
Attendees will examine techniques for constructing scalable microservices architectures, optimising container environments, and managing production workloads via Kubernetes. The curriculum encompasses advanced deployment tactics, GitOps-driven automation, and observability frameworks designed to guarantee system reliability and performance.
Significant emphasis is placed on real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The programme culminates with the integration of AI-powered tools to facilitate troubleshooting and expedite operational decision-making.
Upon completion of this training, participants will possess a robust understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.
This live, instructor-led training in Durban delves into the fundamental principles of Docker, empowering participants to automate the building, shipping, and execution of applications within containers. Participants will acquire practical skills in Docker installation, image management, networking, and registry operations.
This instructor-led, live training in Durban (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.
By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.
In this instructor-led, live training held in Durban, participants will learn the foundational aspects of building microservices using Spring Cloud and Docker. Attendees will put their knowledge to the test through practical exercises and the incremental development of sample microservices.
By the end of this training, participants will be able to:
Understand the core concepts of microservices.
Utilize Docker to construct containers for microservice applications.
Build and deploy containerized microservices using Spring Cloud and Docker.
Integrate microservices with discovery services and the Spring Cloud API Gateway.
Apply Docker Compose for end-to-end integration testing.
OpenShift is one of the leading Kubernetes-based platforms for deploying and managing containerised 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) equips OpenShift Cluster Administrators with the skills to carry out daily administrative duties on clusters hosting applications from both internal teams and external vendors. It also covers enabling self-service capabilities for cluster users across various roles, and deploying applications that demand specific permissions, such as CI/CD tooling, performance monitoring, and security scanners. This course places emphasis on configuring OpenShift’s multi-tenancy and security features, along with managing OpenShift add-ons via operators.
Learn how to develop, deploy, and manage containerised applications with OpenShift, one of the leading Kubernetes-based platforms for cloud-native development. This practical training covers application deployment, containers, networking, CI/CD, and DevOps workflows, giving participants the skills to build and maintain modern applications in production environments.
This live, instructor-led training, delivered in Durban (online or on-site), is designed for intermediate-level virtualisation administrators looking to leverage open-source platforms to migrate away from VMware.
By the end of this course, participants will be equipped to:
Install and configure KVM, oVirt, and Proxmox VE.
Migrate virtual workloads from VMware environments.
Implement high availability and disaster recovery mechanisms.
Optimise performance within open-source virtualisation environments.
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Testimonials (7)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
multi-tiered, structured course programme.
Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker
CI/CD Best Practices (gitflow and gitops), Application strategies, idempotency and drift, remote state management, Pod Disruption Budgets and Best Practices
McKayla Fusco - NSWC Dahlgren Division - DNA
Course - Resilient Architecture: Microservices, Containers, and CI/CD
basic understanding of container/kubernetes and how they interact
features of the openshift plattform
Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift
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
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