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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.

Explore Our Courses

CI/CD for AI: Automating Docker-Based Model Builds and Deployments

 21 Hours

CI/CD for AI is a structured approach to automating model packaging, testing, containerization, and deployment using continuous integration and continuous delivery pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

As the training concludes, participants will be able to:

  • Create automated pipelines for building and testing AI model containers.
  • Implement version control and reproducibility for model lifecycles.
  • Integrate automated deployment strategies for AI services.
  • Apply CI/CD best practices tailored to machine learning operations.

Format of the Course

  • Instructor-guided presentations and technical discussions.
  • Practical labs and hands-on implementation exercises.
  • Realistic CI/CD workflow simulations in a controlled environment.

Course Customization Options

  • If your organization requires customized pipeline workflows or platform integrations, please contact us to tailor this course.
Read more...

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

 21 Hours

Hybrid AI deployment is the practice of running AI inference across cloud, on-premise, and edge environments using unified container-based workflows.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to design and deploy distributed AI inference systems across heterogeneous environments.

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

  • Build secure and scalable containerized AI services for multi-location environments.
  • Deploy AI inference workloads to cloud, local servers, and edge devices using Docker.
  • Integrate orchestration tools to automate distributed AI operations.
  • Optimize inference latency, reliability, and resilience across diverse infrastructure.

Format of the Course

  • Guided presentations and expert-led discussions.
  • Extensive hands-on practice and applied exercises.
  • Real-world experimentation in a controlled live-lab setup.

Course Customization Options

  • For tailored adjustments to align this course with your organization’s infrastructure or use cases, please contact us to customize the training.
Read more...

Secure & Portable AI Inference with Docker: From Local to Cloud

 14 Hours

Docker is a containerization platform used to build portable, isolated, and secure deployment environments for AI inference services.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level technical professionals who wish to build secure, portable AI inference microservices that can be deployed consistently across local machines, servers, or cloud VMs.

By the conclusion of this workshop, participants will be able to:

  • Build lightweight inference containers for local and cloud deployment.
  • Secure containerized AI services using best-practice techniques.
  • Implement portable microservice workflows for consistent environments.
  • Deploy AI inference endpoints across diverse infrastructures.

Format of the Course

  • Guided lectures paired with practical demonstrations.
  • Hands-on exercises to reinforce deployment and security techniques.
  • Live-lab practice for building and running portable inference services.

Course Customization Options

  • To tailor this training to your infrastructure or AI tooling stack, please contact us to arrange.
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...

GPU-Accelerated AI & Deep Learning with Docker Containers

 21 Hours

GPU acceleration is essential for running high-performance deep learning workloads in a scalable and efficient manner.

This instructor-led, live training (online or onsite) is aimed at intermediate-level technical professionals who wish to configure, optimize, and run GPU-enabled AI workloads inside Docker containers.

At the conclusion of this course, participants will be able to:

  • Build and run GPU-enabled containers for training and inference.
  • Configure CUDA, drivers, and runtime libraries for containerized AI workflows.
  • Optimize resource allocation and isolation for GPU-intensive applications.
  • Deploy scalable, containerized deep learning services in production environments.

Format of the Course

  • Interactive instruction supported by real-world demonstrations.
  • Exercise-driven practice focused on GPU-enabled development.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • For tailored training aligned with your infrastructure or GPU stack, please contact us to arrange.
Read more...

Docker for MLOps: End-to-End Pipeline Containerization

 21 Hours

Docker is a containerization platform used to build reproducible, portable, and scalable environments for ML systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level technical professionals who wish to containerize and operationalize complete ML pipelines using Docker.

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

  • Containerize ML training, validation, and inference workloads.
  • Design and orchestrate end-to-end ML pipelines using Docker and supporting tools.
  • Implement versioning, reproducibility, and CI/CD for ML components.
  • Deploy, monitor, and scale ML services in containerized environments.

Format of the Course

  • Interactive lectures supported by practical demonstrations.
  • Hands-on exercises focused on building real ML pipeline components.
  • Live-lab implementation for end-to-end containerized workflows.

Course Customization Options

  • For customized training aligned with specific ML infrastructure needs, please contact us to discuss options.
Read more...

Containerized AI & ML Deployment with Docker

 14 Hours

Docker is a containerization platform that enables consistent, portable, and reproducible environments for AI and machine learning workloads.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to package ML codebases, dependencies, and models using Docker for reliable development-to-production workflows.

After completing this course, participants will be able to:

  • Build and manage Docker images tailored for AI and ML applications.
  • Containerize machine learning pipelines, tools, and dependencies.
  • Optimize Docker environments for performance and portability.
  • Deploy containerized ML services across different runtime environments.

Format of the Course

  • Concept demonstrations supported by guided discussion.
  • Hands-on exercises focused on real-world containerization tasks.
  • Practical implementation using live-lab Docker environments.

Course Customization Options

  • To customize this training for your organizational environment, please contact us to arrange.
Read more...

Building Microservices with Spring Cloud and Docker - 5 Days

 35 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

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

  • Develop microservices using Spring Boot and Spring Cloud.
  • Containerize applications with Docker and Docker Compose.
  • Implement service discovery, API gateways, and inter-service communication.
  • Monitor and secure microservices in production environments.
  • Deploy and orchestrate microservices using Kubernetes.
Read more...

Docker and Kubernetes

 21 Hours

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

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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
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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.

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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...

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.

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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.
Read more...

Advanced Docker

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at engineers who wish to advance their knowledge of Docker so as to deploy applications at a larger scale while maintaining control.

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

  • Build their own Docker images.
  • Deploy and manager large number of Docker applications .
  • Evaluate different container orchestration solutions and choose the most suitable one.
  • Set up a continuous integration process for Docker applications.
  • Integrate Docker applications with existing continuous tools integration processes.
  • Secure their Docker applications.
Read more...

Container Management with Docker

 21 Hours

Docker is a platform for developers and sysadmins to maintain distributed applications. It consists of a runtime to run containers and a service for sharing containers.

With docker the same app can run unchanged on laptops, dedicated servers and virtual servers.

This course, during the two first days, teaches the basic usage of Docker, useful both for developers and system administrators. The course includes a lot of hands on exercises and the participants will practice in their own Docker environment and build their own Docker images.

On the last day participants will learn about more advanced tools that supports Docker. It will be Docker Machine, Docker Compose and Docker Swarm.

Read more...

Introduction to Docker

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at engineers who wish to use Docker to deploy and manage software as containers instead of as traditional stand-alone software.

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

  • Install and configure Docker.
  • Understand and implement software containerization.
  • Managing Docker based applications.
  • Network different Docker applications and systems.
  • Understand and edit Docker registries.
Read more...

Docker for Developers and System Administrators

 14 Hours

Docker is a platform for developers and sysadmins to maintain distributed applications. It consists of a runtime to run containers and a service for sharing containers.

With docker the same app can run unchanged on laptops, dedicated servers and virtual servers.

This course teaches the basic usage of Docker, useful both for developers and system administrators. The course includes a lot of hands on exercises and the participants will practice in their own Docker environment and build their own Docker images during the 2 days.

Read more...

Docker and Jenkins for DevOps

 14 Hours

This instructor-led, live training in Texas (online or onsite) is aimed at DevOp engineers who wish to optimize and simplify the CI/CD process with Docker and Jenkins.

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

  • Automate code delivery and pipeline deployment with Jenkins.
  • Build an application using Docker and Docker File.
  • Configure authentication options to strengthen security.
Read more...

Docker from Basic to Advanced

 14 Hours

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...

Building Microservices with Spring Cloud and Docker

 21 Hours

In this instructor-led, live training in Texas, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices.

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

  • Understand the fundamentals of microservices.
  • Use Docker to build containers for microservice applications.
  • Build and deploy containerized microservices using Spring Cloud and Docker.
  • Integrate microservices with discovery services and the Spring Cloud API Gateway.
  • Use Docker Compose for end-to-end integration testing.
Read more...

OpenShift 4 for Administrators

 35 Hours

In this instructor-led, live training in Texas (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4.

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

  • Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
  • Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
  • Create, configure, manage, and troubleshoot an OpenShift cluster.
  • Implement Openshift's self-manage capabilities to improve platform stability and consistency.
  • Secure OpenShift Container Platform.
  • Monitor and gather metrics.
  • Manage storage.
  • Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.
Read more...

Selenium with Jenkins and Docker

 14 Hours

This instructor-led, live training in (online or onsite) is aimed at DevOps engineers who wish to use Selenium to execute Selenium tests inside of Docker containers.

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

  • Create test automation infrastructure for on-demand testing.
  • Develop a test automation framework using Java.
  • Build a CI/CD pipeline from scratch with Jenkins and Docker.
Read more...

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Testimonials (5)

How trainer deliver knowledge so effectively

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

Course - Certified Kubernetes Administrator (CKA) - exam preparation

the trainer had a lot of knowledge and patience to share with us

Bogdan Olaru

Course - Introduction to Docker

The knowledge and exchanges with Augustin

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

Course - Docker and Kubernetes

we learn new technique on doing the configuration

Christian - Beacon Solutions Inc

Course - Kubernetes from Basic to Advanced

The trainer's broad knowledge, his abilities to solve issues that spontaneously occurred during the practice sessions. Also, the exercises themselves are adequate to help fix the subjects contained in the course.

Cosmin - Ness Digital Engineering

Course - Advanced Docker

Upcoming Courses

Containerized AI & ML Deployment with Docker

2026-04-20 9:30 am
14 hours
Lubbock, TX
$ 2703 (Online)
$ 3903 (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-05-04 9:30 am
14 hours
Austin, TX - Regus - Lamar Central
$ 2703 (Online)
$ 3903 (Classroom)

Managing Kubernetes with Rancher

2026-05-18 9:30 am
14 hours
Lubbock, TX
$ 2220 (Online)
$ 3420 (Classroom)

Docker (introducing Kubernetes)

2026-06-01 9:30 am
14 hours
Austin, TX - Regus - Lamar Central
$ 2220 (Online)
$ 3420 (Classroom)

Docker (introducing Kubernetes)

2026-06-15 9:30 am
14 hours
Lubbock, TX
$ 2220 (Online)
$ 3420 (Classroom)

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