Kubernetes Training in Johannesburg

Edge AI represents a paradigm shift that involves executing machine learning inference near the source of data to ensure low latency, high efficiency, and scalable processing.

This instructor-led live training session, available both online and onsite, is designed for intermediate to advanced practitioners who aim to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be equipped to:

• Establish lightweight Kubernetes distributions suitable for edge deployments.
• Effectively deploy AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and manage synchronization patterns.
• Optimize performance, storage, and networking for practical edge scenarios.

Course Format

• Guided presentations reinforced with real-world examples.
• Scenario-based labs and hands-on edge deployment exercises.
• Practical experience working with Kubernetes edge frameworks.

Course Customization Options

• For customized training tailored to your specific edge platform requirements, please contact us to make arrangements.

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

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

Upon completing this programme, participants will be able to:

• Apply AI/ML models to enhance workload scheduling decisions within Kubernetes.
• Utilise predictive analytics to optimise CPU, GPU, and memory allocation.
• Implement intelligent autoscaling through reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency via automated resource optimisation.

Course Format

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

Course Customisation Options

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

MLOps on Kubernetes provides a framework for automating the training, validation, packaging, and deployment of machine learning models via containerized pipelines and GitOps workflows.

This instructor-led, live training (available online or onsite) is designed for intermediate-level practitioners seeking to build automated, scalable MLOps pipelines on Kubernetes.

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

• Design end-to-end CI/CD pipelines for machine learning.
• Implement GitOps workflows for model deployment and versioning.
• Automate the training, testing, and packaging of ML models.
• Integrate monitoring, alerting, and rollback strategies.

Course Format

• Instructor-guided presentations and technical deep dives.
• Hands-on exercises focused on building real-world CI/CD workflows.
• Live-lab practice for deploying ML workloads to Kubernetes.

Course Customisation Options

• Organisations may request tailored content aligned with their internal MLOps tools and infrastructure.

Kubeflow is an open-source platform engineered to simplify the creation, training, and deployment of machine learning workloads on Kubernetes.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level professionals aiming to build robust ML workflows utilizing Kubeflow.

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

• Navigate the Kubeflow ecosystem and its core components.
• Construct reproducible workflows using Kubeflow Pipelines.
• Execute scalable training jobs on Kubernetes.
• Deploy machine learning models efficiently via Kubeflow Serving.

Course Format

• Guided presentations alongside collaborative discussions.
• Hands-on labs featuring real Kubeflow components.
• Practical exercises to develop end-to-end ML workflows.

Course Customization Options

• Bespoke versions of this training can be arranged to suit your team’s technology stack and project requirements.

This instructor-led live training in Johannesburg (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.

Kubernetes is an open-source platform designed for the automation of deploying, scaling, and managing containerised applications.

This instructor-led, live training (available online or onsite) targets beginner to intermediate IT professionals keen to grasp the core concepts and components of Kubernetes, enabling them to manage containerised applications at scale.

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

• Comprehend Kubernetes architecture and its components.
• Deploy and manage containers within a Kubernetes cluster.
• Configure networking, storage, and scaling for workloads.
• Troubleshoot common issues and adhere to best practices for cluster operations.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

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

This instructor-led live training in Johannesburg (available online or onsite) is designed for DevOps engineers and developers who wish to utilise Kubernetes to construct, deploy, and manage containers and cluster components in a secure and scalable environment.

By the conclusion 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 held Johannesburg (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.
• Secure, scale and monitor a Kubernetes cluster.

This instructor-led, live training in Johannesburg (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.
• Analyse and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led, live training in Johannesburg (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 through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources, and utilise OpenShift to streamline modern application delivery in cloud and hybrid environments.

This instructor-led, live training in Johannesburg (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 Johannesburg (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 Johannesburg (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.

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

In this instructor-led, live training Johannesburg (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) programme was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes is currently the leading platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have established ourselves as one of the world's most recognised training providers in the field of containerisation.

Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them to sit and pass the CKA and CKAD exams.

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

Furthermore, the training focuses on gaining practical experience in Kubernetes Administration; therefore, we recommend participation even if you do not intend to take the CKA exam.

Format of the Course

• Interactive lecture and discussion.
• Ample 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

In this instructor-led, live training in Johannesburg (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.

In this instructor-led, live training in Johannesburg, 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.

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

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

• Leveraging Kubernetes to deploy and manage distinct environments within a single cluster
• Securing, scaling, and monitoring a Kubernetes cluster effectively

Course Format

• Interactive lectures paired with group discussions
• Extensive practical exercises and hands-on practice
• Live-lab environment implementation for real-world application

Course Customisation Options

• For those requiring a tailored training experience, please reach out to us to make the necessary arrangements.

The Certified Kubernetes Application Developer (CKAD) programme was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the custodians of Kubernetes.

This instructor-led, live training (available online or on-site) is designed for developers who wish to validate their skills in designing, building, configuring, and exposing cloud-native applications on Kubernetes.

Furthermore, the training focuses on gaining practical experience in Kubernetes application development; therefore, we recommend participation even if you do not intend to sit for the CKAD exam.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the most recognised training providers globally in the field of containerisation. Since 2019, we have also assisted our customers in validating their performance in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Course Format

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

Course Customisation Options

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

This instructor-led, live course in Johannesburg 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 that operates on Kubernetes to deliver secure, observable, and manageable connectivity between microservices. By utilising 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.

The rapid advancement of microservices and container technologies in recent years has profoundly transformed how we design, develop, deploy, and operate software. Today's applications must be engineered for scalability, elasticity, resilience against failures, and adaptability to change. To meet these evolving demands, modern architectural approaches require a distinct set of patterns and best practices. This training explores methods to identify, comprehend, and adapt to these new requirements.

Audience
This training is designed for individuals who have a basic understanding of container technology and Kubernetes concepts but may lack hands-on, real-world experience. Drawing on use cases and lessons learned from practical projects, the course aims to inspire participants to build and manage high-quality cloud-native applications.

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

Course Format

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

Course Customization Options

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

This instructor-led, live training in Johannesburg (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.
• Manage releases of Helm packages.

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

By the end of this training, participants will understand how to secure Kubernetes environments and container-based applications across the various stages of an application’s life cycle: build, deployment, and runtime.

This instructor-led live training in Johannesburg (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 Johannesburg (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 intensive 7-day programme delivers a comprehensive, hands-on experience in designing, deploying, and operating cloud-native applications through contemporary DevOps methodologies.

Participants will delve into the design of scalable microservices architectures, optimise container environments, and effectively manage production workloads using Kubernetes. The curriculum encompasses advanced deployment strategies, GitOps-driven automation, and robust observability practices to guarantee system reliability and peak performance.

The programme places significant emphasis on real-world operational challenges, such as incident response, failure simulation, and root cause analysis. It concludes with the application of AI-powered tools to enhance troubleshooting capabilities and expedite operational decision-making.

Upon completion, participants will possess a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes-based environment.

This instructor-led, live training in Johannesburg (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.