Houston, TX - Regus – Downtown at Pennzoil Place

700 Milam Street, Suite 1300, Houston, United States, 77002

The venue is centrally located near major highways, including I‑45, I‑69, and US‑59, with convenient parking available in the building’s garage as well as nearby garages. For those arriving by air, both George Bush Intercontinental Airport (IAH) and William P. Hobby Airport (HOU) are just 7 to 10 miles away. Public transit is easily accessible via METRO bus routes, and the venue also offers tunnel access to downtown amenities.

Dallas, TX - Regus - Downtown Republic Center

325 N. St. Paul Street, Dallas, United States, 75201

The venue is conveniently located in downtown Dallas and easily accessible by car via I‑35E, US‑75, and I‑30, with several parking garages and surface lots nearby. Public transit access is excellent, just steps from St. Paul Station on the DART Blue and Red lines and connected to the downtown tunnel network. For those arriving by air, Dallas Love Field is approximately 7 miles away, while DFW International Airport is about 20 miles from the venue. Valet service is available at the building, along with multiple nearby parking options.

Austin, TX - Regus - Lamar Central

3800 N Lamar Blvd, Suite 200, Austin, United States, 78756

Easily reachable by car via Mopac (Loop 1) and US‑183. Plenty of nearby public parking is available. For air travelers, Austin-Bergstrom International Airport (AUS) is approximately 10 miles away. Local transit access is provided via bus routes serving Lamar Blvd.

Austin, TX – Regus at Dobie Center

2021 Guadalupe Street, Suite 260, Austin, United States, 78705

The venue is located in the vibrant West Campus neighborhood near the University of Texas at the Dobie Center, easily reachable by car via I‑35 or I‑35 Frontage Road and Loop 1, with on-site and street parking nearby. From Austin–Bergstrom International Airport (AUS), about 11 miles southeast, a taxi or rideshare takes around 20–25 minutes via TX‑71 West and I‑35 North. Public transit users can take Capital Metro routes to the University of Texas/Dobie Mall stop directly in front of the building, placing it within a short walk for attendees without cars.

Lubbock, TX

1610 Broadway, Lubbock, United States, 79401

The venue is conveniently located just off I‑27, offering easy access by car with on-site self-parking and nearby garages. For those arriving by air, Fort Smith Regional Airport is approximately 6 miles away, providing quick and convenient access. Public transit is also available, with downtown bus routes serving the area and the venue within walking distance of central Lubbock locations.
NobleProg Training Place, City Dallas, TX - Uptown

Dallas, TX - Uptown

3232 McKinney Ave, Dallas, United States, 75204

The venue is located at 3232 McKinney Avenue in the heart of Uptown Dallas, a walkable and transit-oriented district just north of Downtown. It’s easily accessible by car via US‑75 (Central Expressway), Spur 366 (Woodall Rodgers), or I‑345 with adjacent parking garages and street parking. From Dallas/Fort Worth International Airport (DFW), taxis or rideshares take about 25–30 minutes via TX‑121 South and US‑75 South. From Dallas Love Field (DAL), it's a quick 15‑minute ride via Harry Hines Blvd and Herb Kelleher Way. Public transit options include the McKinney Ave Trolley stop directly outside and DART Light Rail nearby—making it convenient even without a vehicle.

Houston, TX – Regus at Capital One Building

5444 Westheimer Rd Uptown, Suite 1000, Houston, United States, 77056

The venue is located in the Capital One Building off Westheimer Road in the Galleria/Uptown area, easily accessed by car via I‑610, US‑59, or Westheimer, with ample attached covered parking and visitor spaces on-site. From Houston’s George Bush Intercontinental Airport (IAH), a taxi or rideshare takes approximately 25–30 minutes via I‑69 South and I‑610 West. From William P. Hobby Airport (HOU), the ride takes about 35 minutes via I‑45 North and I‑610 West. Public transit is served by Metro bus routes along Westheimer Drive with stops close to the building, enabling easy access for attendees without cars.

Austin, TX - Regus - Littlefield Congress

106 E 6th St, Austin, United States, 78701

The venue is conveniently situated near I‑35 and US‑183, making it easily accessible by car, with both public and garage parking options—such as the Littlefield Garage at 508 Brazos—located within walking distance. For those using public transportation, the venue is just a short walk from the Downtown Station (CapMetro) and is served by several bus routes. Travelers arriving by air will find that Austin-Bergstrom International Airport is approximately 8 miles away, providing straightforward access to and from the venue.

San Antonio, TX - Regus - One Riverwalk Place

700 North Saint Mary's Street, One Riverwalk Place, Ste 1400, San Antonio, United States, 78205

The venue is easily accessible by car via major highways including I‑35, I‑37, and I‑10, with the convenience of an on-site parking garage and nearby public lots. For those traveling by air, San Antonio International Airport (SAT) is located approximately 8 miles away. Public transit options are also readily available, with several bus lines nearby and the downtown VIA Transit hub just a short walk from the building.

San Antonio, TX – Venture X at River Walk

500 Navarro St, San Antonio, United States, 78205

The venue sits on the second floor of a historic building at 500 Navarro Street, steps from the iconic River Walk. It’s easily reached by car via I‑10, I‑35, or US‑281, with public parking available in a ten-story garage across the street and additional on‑street spots. From San Antonio International Airport (SAT), a taxi or rideshare takes about 13 minutes via I‑410 Inner Loop and I‑35 North. Public transit options include VIA bus routes and the River Walk shuttle with stops near Navarro, making the location highly accessible for attendees without cars.

Subcategories (2)

Helm

Helm
Minikube

Minikube

Explore Our Courses

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

 21 Hours

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

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

By completing this course, participants will be able to:

  • Set up lightweight Kubernetes distributions for edge deployments.
  • Deploy AI inference workloads effectively across constrained edge nodes.
  • Manage connectivity challenges and synchronization patterns.
  • Optimize performance, storage, and networking for real-world edge scenarios.

Format of the Course

  • Guided presentations supported by real-world examples.
  • Scenario-based labs and practical edge deployment exercises.
  • Hands-on experience with Kubernetes edge frameworks.

Course Customization Options

  • To request a customized training tailored to your edge platform needs, please contact us to arrange.
Read more...

AI-Driven Kubernetes Operations: Autoscaling, Scheduling & Resource Optimization

 21 Hours

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.
Read more...

MLOps on Kubernetes: CI/CD Pipelines for Machine Learning

 14 Hours

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.
Read more...

Kubeflow Essentials: Build, Train & Serve with Kubernetes

 14 Hours

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.
Read more...

AI Workloads on Kubernetes: Deploying Machine Learning Models at Scale

 14 Hours

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to operationalize ML models reliably on Kubernetes.

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

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

Format of the Course

  • Blended lecture, architectural analysis, and guided discussion.
  • Extensive practical exercises with real-world deployment scenarios.
  • Hands-on implementation using a live Kubernetes environment.

Course Customization Options

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

Monitoring Kubernetes with Prometheus and Grafana

 14 Hours

This instructor-led, live training in Texas (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.
Read more...

Kubernetes Fundamentals

 14 Hours

Kubernetes is an open-source platform for automating deployment, scaling, and management of containerized applications.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn the core concepts and components of Kubernetes and use it to manage containerized applications at scale.

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

  • Understand Kubernetes architecture and components.
  • Deploy and manage containers in a Kubernetes cluster.
  • Configure networking, storage, and scaling for workloads.
  • Troubleshoot common issues and follow best practices for cluster operations.

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.
Read more...

Kubernetes from Basic to Advanced (4 days)

 28 Hours

This instructor-led, live training in Texas (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.
Read more...

Kubernetes from Basic to Advanced

 14 Hours

In this instructor-led, live training in Texas (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

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

  • Set up and run a Docker container.
  • Deploy containerized databases and servers.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage different environments under the same cluster.
  • Secure, scale and monitor a Kubernetes cluster.
Read more...

Kubernetes Comprehensive

 35 Hours

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

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

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

Advanced Platform Engineering: Scaling with Microservices and Kubernetes

 35 Hours

This instructor-led, live training in Texas (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.
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DO180: Introduction to Containers, Kubernetes & OpenShift

 35 Hours

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level technical professionals who wish to learn container workflows, Kubernetes primitives, and how to deploy and operate applications on OpenShift.

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

  • Build and manage container images and registries with best practices for reproducibility and security.
  • Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
  • Use OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
  • Implement persistent storage, configuration management, and secrets handling for stateful workloads.
  • Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on labs in a live OpenShift environment every day.
  • Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

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

Introduction to Kubefirst

 14 Hours

This instructor-led, live training in Texas (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.
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Minikube for Developers

 14 Hours

This instructor-led, live training in Texas (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.
Read more...

Kubernetes & Cloud Native Associate (KCNA)

 35 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at beginner to intermediate-level developers, system administrators, and DevOps engineers who wish to understand Kubernetes and cloud-native principles.

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

  • Set up a development environment that includes Kubernetes.
  • Create a microservices application using Kubernetes.
  • Deploy, manage, and scale applications in Kubernetes.
  • Debug common issues in Kubernetes environments.
Read more...

Introduction to Minikube and Kubernetes

 21 Hours

This instructor-led, live training in Texas (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.
Read more...

Docker and Kubernetes

 21 Hours

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

Read more...

Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours

In this instructor-led, live training in Texas (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.
Read more...

Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours

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
Read more...

Kubernetes on Azure (AKS)

 14 Hours

In this instructor-led, live training in Texas (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS. 

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

  • Configure and manage Kubernetes on AKS.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Azure.
  • Migrate an existing Kubernetes environment from on-premise to AKS cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
Read more...

Docker (introducing Kubernetes)

 14 Hours

The objective of this practical course is to provide all the tools that address the practical aspects of Docker and Kubernetes, in order that the participants can count on the necessary skills for the proper management of the program.

Read more...

Docker, Kubernetes and OpenShift 3 for Administrators

 35 Hours

In this instructor-led, live training in Texas, 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.
Read more...

Docker, Kubernetes and OpenShift 3 for Developers

 35 Hours

In this instructor-led, live training in Texas, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

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

  • Create and configure an OpenShift setup.
  • Quickly deploy applications on-premise, in public cloud or on a hosted cloud.
Read more...

Kubernetes Advanced

 21 Hours

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.
Read more...

Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes. 

On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.

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 company 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.

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 CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
Read more...

Managing Kubernetes with Rancher

 14 Hours

This instructor-led, live course in Texas provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

Read more...

Creating a Service Mesh with Istio and Kubernetes

 14 Hours

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.
Read more...

Kubernetes on AWS

 14 Hours

EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS. 

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

  • Configure and manage Kubernetes on EKS
  • Migrate an existing Kubernetes environment from on-premise to AWS cloud
  • Integrate Kubernetes with third-party continuous integration (CI) software
  • Ensure high availability and disaster recovery in Kubernetes
  • Understand and adopt the tools available to efficiently manage EKS

Audience

  • Developers
  • System Administrators
  • DevOps Engineers

Format of the Course

  • Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

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

Kubernetes Design Patterns

 21 Hours

The evolution of microservices and containers in recent years has significantly changed how we design, develop, deploy and run software. Modern applications must be optimized for scalability, elasticity, failure, and change. Driven by these new demands, modern architectures require a different set of patterns and practices. In this training, we examine ways to identify, understand and adjust to these new requirements.

Audience
This training is intended for people who are somewhat familiar with container technology and with Kubernetes concepts but are perhaps lacking the real world experience. It is based on use cases, and lessons learnt from real life projects with the intention of making people inspired to create and manage even better cloud native applications.

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

Format of the Course

  • Interactive lecture and discussion
  • Lots of exercises and practice
  • Handson implementation in a live-lab environment

Course Customization Options

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

Choosing a Kubernetes Solution

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at engineers who wish to evaluate, select and deploy the most appropriate Kubernetes solution for their specific situation.

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

  • Install and configure a Kubernetes cluster on premise and in the cloud.
  • Evaluate different cloud-hosted Kubernetes solutions and understand the advantages over an self-hosted approach.
  • Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
Read more...

Deploying Kubernetes Applications with Helm

 7 Hours

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

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

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

Monitoring Kubernetes with Prometheus

 7 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters.

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

  • Install and configure Prometheus.
  • Monitor dynamic cloud environments.
  • Gain better insight into their Kubernetes clusters.
  • Set up alerts that are precise and insightful.
Read more...

Kubernetes and Gitlab

 14 Hours

This instructor-led, live training in Texas (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.
Read more...

Kubernetes Networking with Calico

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters.

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

  • Install and configure Calico.
  • Understand how Calico differs from traditional overlay networks.
  • Understand how Calico combines internet routing protocols with consensus-based data stores.
  • Use Calico to create a container networking solution for Kubernetes clusters.
  • Use Calico to provide network policy for Kubernetes.
Read more...

Google Kubernetes Engine (GKE)

 14 Hours

In this instructor-led, live training in Texas, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud. 

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

  • Configure and manage Kubernetes on Google Cloud.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Google Cloud.
  • Migrate an existing Kubernetes environment from on-premise to Google Cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
Read more...

OKD (Origin Kubernetes Distribution) for Administrators

 21 Hours

In this instructor-led, live training in Texas (onsite or remote), participants will learn how to how to install, configure, and manage OKD on-premise or in the cloud.

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

  • Create, configure, manage, and troubleshoot an OKD cluster.
  • Secure OKD.
  • Deploy containerized applications on OKD.
  • Monitor the performance of an application running in OKD.
  • Manage data storage.
  • Quickly deploy applications on-premise or on a public cloud such as AWS.
Read more...

Certified Kubernetes Security Specialist (CKS)

 21 Hours

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

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

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Serverless on Kubernetes Fundamentals

 21 Hours

This instructor-led, live training in Texas (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.
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Kubernetes Security

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at engineers who wish to secure a Kubernetes cluster beyond the default security settings.

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

  • Understand the vulnerabilities that are exposed by a default Kubernetes installation.
  • Prevent unauthenticated access to the Kubernetes API, database, and other services.
  • Protect a Kubernetes cluster from accidental or malicious access.
  • Put together a comprehensive security policy and set of best practices.
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Docker and Kubernetes on AWS

 21 Hours

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

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

  • Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
  • Set up, configure and deploy a series of demo containers using a number of different approaches.
  • Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
  • Automate the deployment of Docker containers.
  • Set up a continuous integration and deployment pipeline.
  • Integrate Docker and Kubernetes into an existing continuous integration system.
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Cloud‑Native DevOps Mastery: Designing, Deploying & Operating Scalable Kubernetes Microservices

 49 Hours

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.

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Running Kubernetes on Fedora CoreOS

 14 Hours

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

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

  • Install and configure Fedora CoreOS.
  • Set up Kubernetes cluster on Fedora CoreOS.
  • Run and manage Kubernetes deployments on Fedora CoreOS.
  • Automatically update Fedora OS with the latest OS improvements, bug fixes, and security updates.
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GitOps Continuous Deployment for Kubernetes

 21 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at DevOps engineers who wish to set up, deploy and manage a Git-based software deployment workflow for their Kubernetes applications.

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

  • Install and configure Spinnaker and Terraform.
  • Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC).
  • Move away from maintaining scripts. Configure and execute well-defined deployment process.
  • Apply best practices for cloud-native deployment, management, and monitoring.
  • Recover deployments from partial failures without manual intervention.
  • Create a GitOps strategy for application development.
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Java and Kubernetes for DevOps Engineers

 21 Hours

This instructor-led, live training Texas (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications.

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

  • Set up the necessary development environment to build Java applications.
  • Understand the features and architecture of Kubernetes.
  • Learn about the key concepts and tools for DevOps.
  • Get a refresher on Java programming fundamentals.
  • Containerize Java microservices using Docker.
  • Build, scale, and deploy Java applications on Kubernetes.
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Kubernetes Design Patterns and Extensions

 14 Hours

Kubernetes is an open-source platform for automating all development stages of containerized applications. Design patterns are iterable solutions to software development problems pertinent to software design. Kubernetes extensions are utilized for configuring and supporting Kubernetes clusters. With the help of Kubernetes design patterns and extensions, users of the platform can achieve CI/CD approaches while maintaining scalability and flexibility of software applications.

This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Kubernetes design patterns and extensions to create enterprise applications on Kubernetes clusters.

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

  • Set up a Kubernetes cluster and configure the necessary DevOps tools.
  • Understand the fundamentals of software design patterns and Kubernetes extensions.
  • Utilize Kubernetes extensions and design patterns when interacting with Kubernetes API.
  • Develop customized Kubernetes resources and apply dynamic controllers to a cluster.
  • Manage and secure any Kubernetes environment with the help of Kubernetes plugins.
  • Integrate DevOps networking models to existing and prospective Kubernetes projects.

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.
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Mirantis OpenStack for Kubernetes

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at DevOps engineers and developers who wish to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.

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

  • Deploy, configure, and manage MOS and its components.
  • Access OpenStack APIs.
  • Perform common OpenStack operations tasks (backup, restore, etc.).
  • Upgrade OpenStack deployments.
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Kubernetes-Native CI/CD Systems with Tekton Pipelines

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Tekton Pipelines for supporting complex software development workflows and building automated CI/CD pipelines.

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

  • Install and configure Tekton Pipelines and other foundational Tekton components.
  • Design and create the building blocks of pipelines for software development in Tekton.
  • Automate existing pipelines and development processes using Tekton framework concepts and principles.
  • Run and manage Tekton Pipelines for various workload types across multiple platforms.
  • Implement CI/CD systems based on the Tekton framework to enhance future software development projects.
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Testimonials (5)

Interactivity, no reading slides all day

Emilien Bavay - IRIS SA

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

How trainer deliver knowledge so effectively

Vu Thoai Le - Reply Polska sp. z o. o.

Course - Certified Kubernetes Administrator (CKA) - exam preparation

I liked the pace of training.

Michael

Course - Kubernetes from Basic to Advanced (4 days)

The knowledge and exchanges with Augustin

Laurent - L'Office national des vacances annuelles (ONVA)

Course - Docker and Kubernetes

Upcoming Courses

Managing Kubernetes with Rancher

2026-04-20 9:30 am
14 hours
Austin, TX - Regus - Lamar Central
$ 2220 (Online)
$ 3420 (Classroom)

Creating a Service Mesh with Istio and Kubernetes

2026-05-04 9:30 am
14 hours
Lubbock, TX
$ 2220 (Online)
$ 3420 (Classroom)

Introduction to Kubefirst

2026-05-18 9:30 am
14 hours
Austin, TX - Regus - Lamar Central
$ 2703 (Online)
$ 3903 (Classroom)

Java and Kubernetes for DevOps Engineers

2026-06-01 9:30 am
21 hours
Lubbock, TX
$ 4054 (Online)
$ 5854 (Classroom)

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

2026-06-15 9:30 am
21 hours
Austin, TX - Regus - Lamar Central
$ 4054 (Online)
$ 5854 (Classroom)

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