NobleProg provides comprehensive Kubernetes training programs across Wisconsin, catering to professionals in both urban centers and rural communities. These courses are designed to equip learners with practical skills and industry-relevant knowledge tailored to the region's economic landscape. Whether in Milwaukee, Madison, or surrounding areas, participants gain access to expert-led instruction that supports career advancement and organizational growth.
Instructor-led sessions, delivered via online or onsite formats, utilize interactive dialogue and practical exercises to illustrate methods for deploying, managing, and scaling containerized applications within clustered environments. These programs are designed to support technical teams requiring robust infrastructure management capabilities for government agencies and other public sector entities.
Kubernetes instruction is offered through "online live training" or "onsite live training" modalities. The online live approach (also referred to as remote live training) employs an interactive remote desktop platform. Onsite sessions may be conducted at the client’s facility in Wisconsin or at NobleProg corporate training facilities located in Wisconsin.
The curriculum encompasses fundamental and advanced concepts regarding container networking, administration, and development, while demonstrating practical applications such as microservice architectures.
NobleProg -- Your Local Training Provider
Milwaukee, WI - Downtown Milwaukee
250 E Wisconsin Ave 18th floor, Milwaukee, United States, 53202
This Regus centre is located on the 18th floor of Two‑Fifty in downtown Milwaukee, with excellent car access via I‑43 or I‑794 and secure paid underground parking within the building. From General Mitchell International Airport (MKE), take I‑94 West to I‑794, then exit onto East Wisconsin Avenue; the taxi or rideshare ride typically takes 15–20 minutes. Public transit users can use MCTS bus routes along Wisconsin Avenue or nearby stops such as Cathedral Square—followed by a short walk into the building’s lobby.
Madison, WI - Regus - Madison East - Park Bank Plaza
2810 Crossroads Dr #4000, Madison, United States, 53718
The venue occupies the 4th floor of Park Bank Plaza, a modern office tower in East Madison’s High Crossing district at 2810 Crossroads Drive. It is convenient by car via I‑90/94 and Highway 51, with secure covered parking on-site. From Dane County Regional Airport (MSN), head west on US 12/18, merge onto I‑90/94, exit at Crossroads Drive for a 15-minute taxi or rideshare ride. Metro Transit buses stop directly at Crossroads Drive; it’s just a short walk from the bus stop to the Regus entrance.
Middleton, WI - Regus - Middleton Greenway
8383 Greenway Blvd #600, Middleton, United States, 53562
The Regus centre at Middleton Greenway is situated in the award-winning Smith & Gesteland Building at 8383 Greenway Boulevard. It’s easily accessible by car via I‑90/I‑94 and Highway 51, with secure covered parking on-site and ample surface spaces. From Dane County Regional Airport (MSN), travel south on Highway 51 and merge onto I‑90/I‑94, exiting at Greenway Boulevard—taxi or rideshare typically takes about 20 minutes. Public transit users can take Metro Transit routes to the Greenway Boulevard stop just outside the building; the entrance is a short walk from the bus stop.
Edge AI represents a technological approach focused on executing machine learning inference near data sources to ensure low-latency, efficient, and scalable processing for government and public sector applications.
This instructor-led live training, available online or on-site, targets intermediate to advanced practitioners seeking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments for government and enterprise infrastructure.
Upon completion, participants will be equipped to:
Configure lightweight Kubernetes distributions for edge deployments.
Implement AI inference workloads across constrained edge nodes.
Address connectivity challenges and establish synchronization protocols.
Enhance performance, storage, and network operations for operational edge scenarios.
Course Format
Structured presentations accompanied by practical, real-world examples.
Scenario-based laboratory exercises and practical deployment tasks.
Direct hands-on interaction with Kubernetes edge frameworks.
Customization Options
Contact us to arrange a customized training program tailored to specific edge platform requirements.
Kubernetes serves as a standard container orchestration platform for the management of distributed applications at scale for government entities.
This instructor-led, live training program, available online or onsite, is designed for advanced practitioners seeking to leverage artificial intelligence and machine learning to optimize Kubernetes resource utilization, scheduling logic, and autoscaling strategies.
Upon completion of this program, participants will be equipped to:
Apply AI/ML models to enhance workload scheduling decisions within Kubernetes environments.
Utilize predictive analytics to refine the allocation of CPU, GPU, and memory resources.
Implement intelligent autoscaling mechanisms utilizing reinforcement learning and metric forecasting.
Decrease infrastructure costs and latency through automated resource optimization.
Format of the Course
Instructor-guided technical presentations and in-depth analytical discussions.
Hands-on laboratory work conducted on real Kubernetes clusters.
Practical exercises focused on applying AI models to realistic operational scenarios.
Course Customization Options
To align this course with specific platform configurations or operational requirements for government use, please contact our team for customization.
MLOps on Kubernetes serves as a structured framework for automating the training, validation, packaging, and deployment of machine learning models, utilizing containerized pipelines and GitOps workflows to support operations for government.
This instructor-led training session, available either online or onsite, is designed for intermediate-level professionals seeking to develop automated, scalable MLOps pipelines on Kubernetes.
Upon completion of this program, participants will be positioned to:
Architect end-to-end CI/CD pipelines tailored for machine learning operations.
Establish GitOps workflows to manage model deployment and versioning.
Automate the training, testing, and packaging of ML models.
Integrate comprehensive monitoring, alerting, and rollback strategies.
Course Delivery Format
Instructor-led presentations and detailed technical analyses.
Practical exercises focused on constructing operational CI/CD workflows.
Live-lab sessions involving the deployment of ML workloads to Kubernetes.
Customization Capabilities
Agencies may request tailored content that aligns with their specific internal MLOps tools and infrastructure requirements.
Kubeflow constitutes an open-source infrastructure intended to optimize the development, training, and deployment of machine learning operations on Kubernetes for government and public sector use.
This live, instructor-facilitated session, available remotely or in-person, targets professionals with foundational to intermediate experience who seek to establish secure and reliable machine learning workflows for government applications.
Upon successful completion of this instruction, participants will acquire the competency to:
Operate within the Kubeflow ecosystem and utilize its core modules.
Develop consistent and reproducible workflows utilizing Kubeflow Pipelines.
Execute scalable training operations on Kubernetes infrastructure.
Deliver machine learning models with high efficiency using the Kubeflow Serving framework.
Instructional Methodology
Structured presentations and facilitated collaborative dialogue.
Practical laboratory sessions utilizing actual Kubeflow components.
Applied exercises focused on constructing complete machine learning workflows.
Adaptation Options for Course Content
Tailored variations of this training program may be developed to accommodate specific agency technology stacks and mission requirements.
This instructor-led, live training in Wisconsin (available online or onsite) is intended for advanced-level Kubernetes administrators and DevOps engineers seeking to enhance their monitoring proficiency for Kubernetes clusters using Prometheus and Grafana for government operations.
Upon completion of this training, participants will be able to:
Deploy Prometheus and Grafana for Kubernetes monitoring.
Monitor essential metrics for pods, nodes, and services.
Construct 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.
Kubernetes serves as an open-source platform designed to automate the deployment, scaling, and administration of containerized applications.
This instructor-led, live training session (available online or onsite) is tailored for IT professionals with beginner to intermediate proficiency who seek to master the fundamental concepts and components of Kubernetes for managing containerized workloads at scale.
Upon completion of this training, participants will demonstrate the ability to:
Comprehend the architectural framework and constituent components of Kubernetes.
Deploy and oversee containers within a Kubernetes cluster environment.
Configure networking, storage, and scaling parameters for enterprise workloads.
Diagnose common operational issues and adhere to best practices for cluster governance.
Instructional Methodology
Interactive instruction and facilitated discussion.
Extensive practical exercises and skill reinforcement.
Direct implementation activities within a live-lab environment for government and public sector relevance.
Curriculum Customization Availability
To arrange a customized training program aligned with specific operational needs, please contact the administration to coordinate scheduling and content adjustments.
This instructor-led, live training conducted in Wisconsin (online or on-site) is intended for DevOps engineers and developers who aim to leverage Kubernetes to build, deploy, and manage containers and cluster components within a secure and scalable environment for government.
Upon completion, participants will be equipped to:
Comprehend the architecture, fundamental concepts, and constituent elements of the Kubernetes ecosystem.
Establish, install, and configure Kubernetes clusters to support container orchestration.
Execute Kubernetes operational tasks through standard command-line interfaces.
Gain practical experience ranging from foundational to advanced Kubernetes operations and administration.
This instructor-led, live training is conducted in Wisconsin (available onsite or remotely). The curriculum focuses on deploying sample server applications within containers, followed by the automation, scaling, and management of these workloads within a Kubernetes cluster. The course addresses advanced operational topics, guiding participants through the critical processes of securing, networking, and monitoring Kubernetes clusters.
Upon completion, participants will be capable of:
Initializing and operating Docker containers.
Deploying containerized databases and server applications.
Establishing and configuring Docker and Kubernetes clusters.
Utilizing Kubernetes to manage distinct operational environments within a unified cluster.
Implementing security measures, scaling protocols, and monitoring systems for Kubernetes clusters.
This instructor-led, live training in Wisconsin (available online or onsite) is designed for intermediate-level technical professionals seeking to proficiently deploy, manage, and scale containerized workloads for government operations using Kubernetes.
Upon completion of this training, participants will be capable of:
Interpreting the Kubernetes architecture and its constituent components.
Implementing resource isolation strategies using Namespaces.
Managing and customizing workloads via Deployments, StatefulSets, and DaemonSets.
Defining computational resource constraints using Requests and Limits.
Implementing Jobs and CronJobs for automated task scheduling.
Understanding Services and DNS integration within the Kubernetes environment.
Exposing applications to external users via Ingress.
Managing ConfigMaps, Secrets, and Persistent Volumes.
Scaling and upgrading Kubernetes clusters utilizing advanced operational strategies.
Analyzing and resolving common Kubernetes operational issues.
Deploying resources efficiently using Helm Charts.
This instructor-led, live training session, available online or on-site, is intended for advanced platform engineers and DevOps professionals aiming to master application scaling via microservices and Kubernetes.
Upon completion of this training, participants will be capable of:
Designing and implementing scalable microservices architectures.
Deploying and managing applications on Kubernetes clusters.
Utilizing Helm charts for efficient service deployment.
Monitoring and maintaining the health of microservices in production.
Applying best practices for security and compliance in a Kubernetes environment.
Acquire a solid understanding of container fundamentals, Kubernetes, and OpenShift through a practical, hands-on training program tailored for developers, DevOps engineers, and IT professionals. Participants will master the processes of building containerized applications, deploying workloads, administering Kubernetes resources, and leveraging OpenShift to enhance modern application delivery across cloud and hybrid infrastructure for government and enterprise sectors.
This instructor-led, live training, conducted in Wisconsin (either online or onsite), is designed for beginner-level developers aiming to acquire foundational knowledge of Kubefirst and understand how it streamlines, secures, and accelerates the management of Kubernetes and Swarm clusters at enterprise scale.
Upon completion of this training, participants will be capable of the following:
Establishing a functional Kubefirst development environment.
Authoring and executing a foundational Kubefirst program.
Annotating source code with appropriate Kubefirst directives and clauses.
Utilizing the Kubefirst API and associated libraries.
Conducting profiling and debugging activities for Kubefirst programs.
This instructor-led, live training in Wisconsin (available online or on-site) is directed at intermediate-level developers and DevOps engineers intending to utilize Minikube within their development workflows.
Upon completion of this training, participants will be able to:
Configure and administer a local Kubernetes environment using Minikube.
Understand the deployment, management, and debugging of applications on Minikube.
Integrate Minikube into continuous integration and deployment pipelines.
Optimize development processes by leveraging Minikube’s advanced features.
Apply established best practices for local Kubernetes development.
This instructor-led, live training session, offered in Wisconsin (online or onsite), is designed for entry-level to mid-level software developers and DevOps specialists seeking to acquire proficiency in establishing and administering local Kubernetes infrastructure using Minikube for government and public sector operations.
Upon successful completion of this program, participants will be equipped to:
Execute the installation and configuration of Minikube on designated local systems.
Demonstrate a comprehensive understanding of Kubernetes fundamental concepts and structural design.
Execute the deployment and management of containerized workloads using kubectl and the Minikube dashboard.
Configure durable storage frameworks and network connectivity solutions within a Kubernetes environment.
Leverage Minikube for the rigorous development, testing, and diagnostic assessment of applications for government systems.
In this instructor-led training session held in Wisconsin (onsite or remote), participants will acquire the technical proficiency to create and manage Docker containers, including the deployment of representative applications. The curriculum further instructs on the automation, scaling, and governance of containerized applications within a Kubernetes cluster. The training concludes with advanced topics, guiding participants through the rigorous processes of securing, scaling, and monitoring Kubernetes clusters to meet operational standards.
Upon completion of this training, participants will possess the following capabilities:
Initialization and execution of Docker containers.
Deployment of containerized server and web application stacks.
Construction and administration of Docker image repositories.
Configuration of Docker and Kubernetes cluster infrastructures.
Application of Kubernetes to deploy and oversee clustered web services.
Enforcement of security protocols, scaling adjustments, and continuous monitoring of Kubernetes clusters.
The Certified Kubernetes Administrator (CKA) program is established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
Kubernetes has emerged as a predominant platform for container orchestration.
NobleProg has provided Docker and Kubernetes training since 2015. With over 360 successfully completed training engagements, the organization is recognized globally for its expertise in containerization.
Since 2019, NobleProg has supported clients in validating their technical proficiency within Kubernetes environments by facilitating preparation for the CKA and CKAD examinations.
This instructor-led, live training session (available online or onsite) is designed for System Administrators and Kubernetes practitioners who seek to validate their competencies through the CKA examination.
Furthermore, the curriculum emphasizes practical experience in Kubernetes administration; therefore, participation is recommended for individuals seeking to enhance operational capabilities, irrespective of their intent to pursue CKA certification for government initiatives.
Course Format
Interactive instructional sessions and discussions.
Extensive exercises and practical application.
Hands-on implementation within a live-lab environment.
Course Customization Options
Requests for customized training programs for this course may be directed to NobleProg for scheduling.
Detailed information regarding CKA certification is available at: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
This instructor-led live training, delivered in Wisconsin (online or onsite), provides the knowledge required to establish and manage production-scale container environments utilizing Kubernetes on AKS.
Upon completion, participants will be proficient in:
Configuring and managing Kubernetes on AKS.
Deploying, monitoring, and scaling Kubernetes clusters.
Implementing containerized (Docker) applications on Azure.
Migrating existing Kubernetes environments from on-premise to the AKS cloud.
Integrating Kubernetes with third-party continuous integration (CI) platforms.
Ensuring high availability and disaster recovery capabilities 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 for government and troubleshoot applications across development and production environments.
This instructor-led, live training program (available online or onsite) is designed for engineers tasked with automating, securing, and monitoring containerized applications within a large-scale Kubernetes cluster environment for government operations.
Upon completion of this training, participants will demonstrate the ability to:
Leverage Kubernetes to deploy and manage diverse operational environments within a unified cluster
Implement security protocols, scaling strategies, and monitoring capabilities for the Kubernetes cluster
Instructional Methodology
Interactive technical lectures and facilitated discussions
Extensive practical exercises and skill application drills
Hands-on implementation in a live laboratory environment
Course Customization Services
Organizations seeking tailored training programs for government agencies should contact our team to discuss specific requirements and scheduling.
This instructor-led CKAD training in Wisconsin prepares developers for the Certified Kubernetes Application Developer examination through practical laboratory exercises. It covers the design, development, and security of cloud-native applications for government use, utilizing core Kubernetes concepts, deployment strategies, and networking fundamentals.
This instructor-led, live training course for government in Wisconsin offers an overview of Rancher and demonstrates, through practical exercises, the deployment and management of a Kubernetes cluster.
Istio is an open-source service mesh platform deployed on Kubernetes that facilitates secure, observable, and manageable connectivity among microservices. By utilizing Istio’s Envoy-based sidecar proxies, organizations can enforce governance policies, secure data exchanges via mTLS, achieve comprehensive traffic observability, and enhance system reliability for government and enterprise workloads.
This instructor-led training session, available in online or onsite formats, is designed for intermediate-level technical staff seeking to deploy, secure, and manage microservices applications utilizing Istio on Kubernetes.
Upon completion of this training, participants will demonstrate the ability to:
Install and configure Istio within Kubernetes cluster environments.
Apply service mesh concepts including traffic governance, security enforcement, and observability.
Deploy microservices applications integrated with an Istio service mesh.
Secure inter-service communications using mutual TLS (mTLS) and Zero Trust frameworks.
Monitor, trace, and diagnose microservices using Prometheus, Grafana, and Jaeger.
Integrate Istio with Calico to enforce advanced network policies and security controls.
Training Delivery Format
Interactive instructional sessions and facilitated discussions.
Extensive practical exercises and scenario-based practice.
Hands-on implementation within a controlled live-lab environment.
Customization Options for Training
Requests for customized curricula specific to agency needs should be directed to the training coordination team for arrangement.
This 21-hour training in Wisconsin provides an in-depth exploration of essential Kubernetes design patterns for microservices. Participants will acquire foundational, behavioral, structural, and configuration strategies to build resilient, scalable, and cloud-native applications, supported by hands-on live-lab exercises.
This instructor-led, live training in Wisconsin (online or onsite) is tailored for engineers aiming to employ Helm to streamline the deployment and administration of Kubernetes applications within government operations.
By the conclusion of this training, participants will be equipped to:
Install and configure Helm.
Establish reproducible builds for Kubernetes applications.
Distribute applications via Helm charts.
Deploy third-party applications encapsulated in Helm charts.
This instructor-led, live training session, offered in Wisconsin (online or onsite), is designed for DevOps engineers aiming to utilize Kubernetes and GitLab to automate the DevOps lifecycle for government operations.
By the conclusion of this training, participants will be equipped to:
Automate application builds, testing cycles, and deployment processes.
Construct an automated build infrastructure for public sector use.
Deploy applications to containerized cloud environments with precision.
This instructor-led, live training program in Wisconsin (available online or on-site) is designed for Kubernetes practitioners seeking to prepare for the CKS examination.
Upon completion of this training, participants will possess the knowledge to secure Kubernetes environments and container-based applications across various stages of the application life cycle, including build, deployment, and runtime.
This instructor-led, live training in Wisconsin (online or onsite) is designed for developers and DevOps engineers responsible for utilizing serverless approaches to build enterprise applications in Kubernetes.
Upon completion of this training, participants will be prepared to:
Configure and establish Kubernetes systems to initiate development within a serverless architecture.
Comprehend the foundational concepts and governing principles of serverless environments.
Execute necessary toolchains for serverless development and integrate them with core Kubernetes components.
Apply Python programming skills to implement and manage serverless systems for government workflows.
Implement security controls for enterprise applications deployed via serverless frameworks on Kubernetes.
Leverage modern cloud computing techniques to optimize DevOps task processing and workflow efficiency.
This instructor-led, live training in Wisconsin (delivered online or onsite) is designed for engineers seeking to fortify a Kubernetes cluster beyond its default security parameters.
Upon completion of this training, participants will be equipped to:
Identify vulnerabilities present in a standard Kubernetes installation.
Prevent unauthenticated access to the Kubernetes API, database, and other services.
Safeguard a Kubernetes cluster from accidental or malicious intrusion.
Develop a comprehensive security policy and adhere to best practices.
The "Advanced Docker and Kubernetes" instruction offers a thorough analysis of the Kubernetes platform and its surrounding ecosystem. Tailored for participants with varied levels of technical proficiency, the curriculum covers a complete spectrum of fundamental and advanced features. The course addresses essential concepts including Pods, Labels, Controllers, Services, Secrets, Persistent Data Volumes, Claims, Namespaces, and Resource Quotas. It further examines the Container Networking Model, Service Discovery, Scaling mechanisms, and Load Balancing strategies. Additional topics include Cluster Management, Kubernetes installation procedures, security protocols for cluster protection, access control frameworks, High Availability of the Control Plane, monitoring and logging standards, automatic application scaling, advanced scheduling logic, microservices-based application architectures, specific application design patterns, and the deployment of applications and services on a Kubernetes cluster for government use.
This seven-day program offers a comprehensive, hands-on approach to the design, deployment, and operation of cloud-native applications, incorporating modern DevOps best practices suitable for government use.
Participants will examine methods for designing scalable microservices architectures, optimizing container environments, and managing production workloads within Kubernetes. The curriculum covers advanced deployment strategies, GitOps-driven automation, and observability frameworks essential for ensuring system reliability and performance.
Emphasis is placed on addressing real-world operational challenges, including incident response, failure simulation, and root cause analysis. The program concludes with the integration of AI-powered tools to support troubleshooting and accelerate operational decision-making processes.
Upon completion of the training, participants will possess a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes-based infrastructure.
This instructor-led, live training session in Wisconsin (available online or onsite) is intended for intermediate to advanced DevOps engineers and system administrators responsible for deploying and managing self-hosted Kubernetes clusters for government use without reliance on commercial cloud dependencies.
Upon completion, participants will be capable of: deploying production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configuring high-availability control planes and etcd clusters; implementing container networking and storage for self-managed environments; and establishing monitoring and observability using self-hosted solutions.
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Testimonials (5)
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
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.
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