Online or onsite, instructor-led live Docker training courses demonstrate through interactive discussion and hands-on practice how to set up Docker for developing and deploying containerized applications for government.
Docker training is available as "online live training" or "onsite live training." Online live training (also known as "remote live training") is conducted via an interactive, remote desktop. Onsite live training can be conducted locally on customer premises in Georgia or in Govtra corporate training centers in Georgia.
Docker training courses cover the setup and management of Docker containers, including scaling and orchestration with Kubernetes.
Govtra -- Your Local Training Provider for government
Atlanta, GA – Regus at Colony Squar
1201 Peachtree Street NE, Suite 200, Atlanta, United States, 30361
The venue is centrally located in Midtown Atlanta within the prominent Colony Square complex at 1201 Peachtree Street NE, easily accessed by car via I‑75/85 or GA‑400, with several parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), around 15 miles south, a taxi or rideshare typically takes 20–30 minutes north along I‑75/85 N. Public transit users can take MARTA Rail to the Arts Center or Midtown stations (0.3–0.5 miles away) and walk easily, and numerous MARTA bus routes along Peachtree Street stop directly outside the entrance.
Atlanta, GA – The Proscenium
1170 Peachtree Street NE, Atlanta, United States, 30309
The venue is located in the heart of Midtown Atlanta in the Proscenium high–rise at 1170 Peachtree Street NE, easily accessible by car via I‑75/85 and GA‑400 with several parking garages nearby. Visitors arriving from Hartsfield–Jackson Atlanta International Airport (ATL), about 15 miles south, can expect a taxi or rideshare ride taking 20–30 minutes via I‑75/85 North. Public transit is seamless with MARTA Rail service; the Arts Center and Midtown stations are within walking distance (approximately 0.3–0.4 miles), and multiple MARTA bus routes also serve Peachtree Street.
Decatur, GA – Regus at One West Court Square
One West Court Square, Suite 750, Decatur, United States, 30030
The venue is located in the heart of downtown Decatur within One West Court Square, easily reached by car via I‑20 and I‑285, with several public parking decks directly adjacent. Travelers from Hartsfield–Jackson Atlanta International Airport (ATL), approximately 17 miles southwest, can expect a taxi or rideshare ride of around 25–30 minutes via I‑20 East. Public transit is particularly convenient: MARTA rail users can disembark at Decatur Station (about 0.15 miles away) and walk a few minutes to the building entrance. Local bus routes also serve Trinity Place and Swanton Way, putting the center within easy reach.
Atlanta, GA – Regus at One Hartsfield
100 Hartsfield Centre Parkway, Suite 500, Atlanta, United States, 30354
The venue is located in the One Hartsfield Center office building, adjacent to Hartsfield–Jackson Atlanta International Airport, easily reached by car via I‑75/I‑85 or GA‑138, with abundant on-site parking. Visitors arriving from ATL airport can walk or take a shuttle to the building, or opt for a quick 2–3‑minute taxi or rideshare ride. Public transit users can board MARTA from the Airport Station and ride one stop to College Park Station, then catch a connecting shuttle or enjoy a brief walk of about half a mile.
Atlanta, GA – Regus at Peachtree
260 Peachtree Street NW, Suite 2200, Atlanta, United States, 30303
The venue is situated in the iconic Coastal States Building at 260 Peachtree Street in downtown Atlanta, accessible by car via I‑75/85 or I‑20 with convenient parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), about 12 miles south, a taxi or rideshare along I‑75/85 North takes approximately 15–20 minutes. For public transit, MARTA rail users can disembark at Five Points Station and walk 0.5 miles northeast, or exit at Peachtree Center Station and walk two blocks north—both routes offering easy access.
Augusta, GA – At Broad Street
823 Broad Street, Augusta, United States, 3090
The venue is located in the heart of downtown Augusta on Broad Street, easily accessible by car via I‑20 with several public parking garages nearby. From Augusta Regional Airport (AGS), about 9 miles west, taxis or rideshares typically take 15–20 minutes via I‑20. Public transit is available through Augusta Public Transit buses with routes along Broad Street, stopping within a few blocks of the venue, offering a convenient option for attendees without a car.
Savannah, GA – Regus at Bull Street
100 Bull St Downtown, Suite 200, Savannah, United States, 31401
The venue is located in the historic downtown area on Bull Street in the Altmayer Building, easily accessible by car via I‑16 and U.S. 17, with several public garages nearby. From Savannah/Hilton Head International Airport (SAV), about 12 miles west, taxis or rideshares typically take 15–20 minutes via U.S. 17 South. Public transit is available via Chatham Area Transit (CAT) buses, with frequent service along Bull and Broughton Streets; Johnson Square Station is just a couple minutes’ walk from the venue.
CI/CD for AI is a structured approach to automating the packaging, testing, containerization, and deployment of machine learning models using continuous integration and continuous delivery pipelines.
This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who wish to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.
Upon completion of the training, 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, ensuring alignment with public sector workflows, governance, and accountability.
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, specifically designed to meet the needs of government agencies.
Course Customization Options
If your organization requires customized pipeline workflows or platform integrations for government operations, please contact us to tailor this course to your specific requirements.
Hybrid AI deployment involves running AI inference across cloud, on-premise, and edge environments using unified container-based workflows.
This instructor-led, live training (online or onsite) is designed for advanced-level professionals who aim to design and deploy distributed AI inference systems across diverse environments for government and other sectors.
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 for government or other specific needs.
Docker is a containerization platform used to create portable, isolated, and secure deployment environments for AI inference services.
This instructor-led, live training (online or onsite) is designed for government technical professionals at beginner to intermediate levels who aim to build secure, portable AI inference microservices that can be deployed consistently across local machines, servers, or cloud VMs for government use.
By the conclusion of this workshop, participants will be able to:
- Build lightweight inference containers suitable for both 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 specific infrastructure or AI tooling stack, please contact us to arrange.
In this instructor-led, live training in Georgia (onsite or remote), participants will learn how to deploy a collection of sample servers within containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training progresses to more advanced topics, guiding participants through the process of securing, networking, and monitoring a Kubernetes cluster for government applications.
By the end of this training, participants will be able to:
- Set up and run a Docker container.
- Deploy containerized databases and servers.
- Establish a Docker and Kubernetes cluster.
- Use Kubernetes to deploy and manage various environments under the same cluster.
- Secure, scale, and monitor a Kubernetes cluster for government use.
GPU acceleration is essential for executing high-performance deep learning workloads in a scalable and efficient manner.
This instructor-led, live training (online or onsite) is designed for intermediate-level technical professionals who wish to configure, optimize, and run GPU-enabled AI workloads within Docker containers.
At the conclusion of this course, participants will be able to:
- Build and run GPU-enabled containers for both 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.
- Practice exercises 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 for government, please contact us to arrange.
Docker is a containerization platform designed to create reproducible, portable, and scalable environments for machine learning (ML) systems.
This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced technical professionals who aim to containerize and operationalize comprehensive 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 complementary tools.
- Implement versioning, reproducibility, and continuous integration/continuous deployment (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 constructing 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 tailored for government and other public sector entities.
Docker is a containerization platform that enables consistent, portable, and reproducible environments for artificial intelligence (AI) and machine learning (ML) workloads.
This instructor-led, live training (online or onsite) is designed for intermediate-level professionals who wish to package ML codebases, dependencies, and models using Docker for reliable development-to-production workflows in government settings.
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 government or your organizational environment, please contact us to arrange.
This instructor-led, live training (online or onsite) is designed for intermediate-level developers and DevOps engineers who aim to build, deploy, and manage microservices using Spring Cloud and Docker.
By the end of this training, participants will be able to:
- Develop microservices with Spring Boot and Spring Cloud.
- Containerize applications using 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, ensuring alignment with best practices for government workflows and governance.
In this instructor-led, live training in [location] (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application within a container. They will also gain the skills to automate, scale, and manage their containerized applications within a Kubernetes cluster. The training further delves into advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster for government use.
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 for government operations.
The Certified Kubernetes Administrator (CKA) program was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF). Kubernetes has become a leading platform for container orchestration in modern computing environments.
NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the premier training organizations globally in the field of containerization. Since 2019, we have also assisted our clients in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD exams.
This instructor-led, live training (available online or on-site) is designed for System Administrators and Kubernetes users who wish to confirm their expertise by passing the CKA exam. Additionally, the training focuses on gaining practical experience in Kubernetes administration, making it valuable even for those not planning to take the CKA exam.
**Format of the Course:**
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options:**
- To request a customized training program for government or other specific needs, please contact us to arrange.
- For more information about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
The objective of this practical course is to equip participants with the essential tools needed to address the practical aspects of Docker and Kubernetes. This ensures that participants will have the necessary skills for the effective management of these technologies for government use.
In this instructor-led, live training in Georgia, participants will learn how to manage the Red Hat OpenShift Container Platform for government environments.
By the end of this training, participants will be able to:
Create, configure, manage, and troubleshoot OpenShift clusters for government use.
Deploy containerized applications on-premises, in public clouds, or on hosted clouds for government operations.
Secure the OpenShift Container Platform to meet government security standards.
Monitor and gather metrics to ensure compliance with government regulations.
Manage storage solutions that align with government data management policies.
In this instructor-led, live training for government, participants will learn how to utilize the OpenShift Container Platform to deploy containerized applications.
By the end of this training, participants will be able to:
- Create and configure an OpenShift setup.
- Efficiently deploy applications on-premise, in public cloud environments, or on hosted clouds.
The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.
This instructor-led, live training (online or onsite) is designed for Developers who wish to validate their skills in designing, building, configuring, and exposing cloud native applications for government use on Kubernetes.
The training also emphasizes gaining practical experience in Kubernetes application development. We recommend participating in this course even if you do not plan to take the CKAD exam.
NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerization. Since 2019, we have also been assisting our clients in confirming their proficiency in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams.
**Format of the Course**
- Interactive lecture and discussion.
- Numerous exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
- For more information about CKAD, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
This instructor-led, live course in Georgia offers participants a comprehensive overview of Rancher, tailored for government use. Through hands-on practice, attendees will learn how to effectively deploy and manage a Kubernetes cluster using Rancher, ensuring alignment with public sector workflows and governance requirements.
This instructor-led, live training (available online or on-site) is designed for engineers who wish to evaluate these services to make informed decisions about their deployment within their organization.
By the end of this training, participants will be able to:
- Establish a development environment that includes all necessary libraries, packages, and frameworks required to begin development.
- Set up, configure, and deploy demonstration containers using various approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions available for government use 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.
This instructor-led, live training in Georgia (online or onsite) is aimed at engineers who wish to enhance their knowledge of Docker for government purposes, enabling them to deploy applications on a larger scale while maintaining control.
By the end of this training, participants will be able to:
- Construct their own Docker images.
- Deploy and manage multiple Docker applications efficiently.
- Evaluate various container orchestration solutions and select the most appropriate one.
- Establish a continuous integration process for Docker applications.
- Integrate Docker applications with existing continuous integration tooling processes.
- Secure their Docker applications effectively.
By the end of this training, participants will be able to:
- Construct their own Docker images.
- Deploy and manage a large number of Docker applications.
- Assess various container orchestration solutions and select the most appropriate one for government needs.
- Establish a continuous integration process for Docker applications.
- Integrate Docker applications with existing continuous integration tools and processes.
- Secure their Docker applications effectively.
- Utilize Kubernetes to deploy and manage different environments within the same cluster.
- Ensure the security, scalability, and monitoring of a Kubernetes cluster.
Docker is a platform designed for developers and system administrators to manage distributed applications. It provides a runtime environment for executing containers and a service for sharing them.
With Docker, the same application can run without modification on laptops, dedicated servers, and virtual servers.
This course, over the first two days, covers the fundamental usage of Docker, which is beneficial for both developers and system administrators in the public sector. The curriculum includes numerous hands-on exercises, allowing participants to practice in their own Docker environment and create their own Docker images.
On the final day, participants will delve into more advanced tools that support Docker, including Docker Machine, Docker Compose, and Docker Swarm. These tools are essential for enhancing efficiency and scalability in managing containerized applications for government operations.
This instructor-led, live training in Georgia (online or onsite) is aimed at engineers who wish to utilize Docker for deploying and managing software as containers, rather than traditional standalone applications.
By the end of this training, participants will be able to:
- Install and configure Docker.
- Understand and implement software containerization.
- Manage Docker-based applications.
- Network different Docker applications and systems.
- Understand and edit Docker registries.
This training is designed to align with public sector workflows, governance, and accountability, ensuring that participants are well-equipped to leverage Docker for government projects.
Docker is a platform designed to assist developers and system administrators in managing distributed applications. It features a runtime environment for executing containers and a service for sharing these containers.
With Docker, the same application can run consistently across various environments, including laptops, dedicated servers, and virtual servers.
This course provides foundational training on Docker, which is beneficial for both developers and system administrators in the public sector. The curriculum includes numerous hands-on exercises, enabling participants to gain practical experience by working within their own Docker environment and constructing their own Docker images over the two-day period. This training is tailored to enhance skills and efficiency in deploying and managing applications for government use.
This instructor-led, live training in [location] (online or onsite) is designed for DevOps 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 using Jenkins.
- Build an application utilizing Docker and Dockerfile.
- Configure authentication options to enhance security measures for government applications.
In this instructor-led, live training in Georgia, participants will gain a comprehensive understanding of building microservices using Spring Cloud and Docker. The training emphasizes practical application through exercises and the step-by-step development of sample microservices tailored for government use cases.
By the end of this training, participants will be able to:
Comprehend the foundational principles of microservices architecture.
Leverage Docker to create containers for microservice applications, ensuring alignment with public sector workflows.
Develop and deploy containerized microservices using Spring Cloud and Docker, optimizing for government operations.
Integrate microservices with discovery services and the Spring Cloud API Gateway, enhancing governance and accountability.
Utilize Docker Compose for comprehensive end-to-end integration testing, ensuring robust and secure solutions for government.
In this instructor-led, live training in [location] (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:
- Understand OCI (Open Containers Initiative) and its implications for using container engines such as Docker in OpenShift.
- Comprehend the relationship between different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
- Create, configure, manage, and troubleshoot an OpenShift cluster.
- Implement OpenShift's self-management capabilities to enhance platform stability and consistency for government operations.
- Secure OpenShift Container Platform.
- Monitor and gather metrics.
- Manage storage.
- Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.
This instructor-led, live training (available online or on-site) is designed for DevOps engineers who wish to utilize Selenium to execute tests within Docker containers for government projects.
By the end of this training, participants will be able to:
- Develop test automation infrastructure for on-demand testing.
- Construct a test automation framework using Java.
- Build a CI/CD pipeline from scratch with Jenkins and Docker for government workflows.
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Testimonials (14)
OC is new to us and we learnt alot and the labs were excellent
Very informative and to the point. Hands on pratice
Gil Matias - FINEOS
Course - Introduction to Docker
Excellent content
Alan Kavanagh - FINEOS Corporation Ltd
Course - Docker from Basic to Advanced
Labs and technical discussions.
Dinesh Panchal - AXA XL
Course - Advanced Docker
It gave a good grounding for Docker and Kubernetes.
Stephen Dowdeswell - Global Knowledge Networks UK
Course - Docker (introducing Kubernetes)
I mostly enjoyed the knowledge of the trainer.
- Inverso Gesellschaft fur innovative Versicherungssoftware mbH
Course - Docker, Kubernetes and OpenShift for Developers
Hands-on exercises to reinforce the concepts.
Josh Bjornson - Leonteq Securities AG
Course - Kubernetes from Basic to Advanced
There was a lot to lean, but it never felt rushed.
thomas gardner - National Oceanography Centre
Course - Docker, Kubernetes and OpenShift for Administrators
It is an in-deep Kubernetes training covering all important aspects to manage Kubernetes, be it in the cloud or on-premise, but the pace is gradual and well adjusted, so the training can be followed very well by students who have had no prior exposure to Kubernetes, as it builds up knowledge from the ground up.
Volker Kerkhoff
Course - Docker and Kubernetes: Building and Scaling a Containerized Application
I generally liked the trainer knowledge and enthusiasm.
Ruben Ortega
Course - Docker and Kubernetes
The trainer had the right skillets to help us in training.
Rexon Philip
Course - Container management with Docker
I generally enjoyed the content was interesting.
Leke Adeboye
Course - Docker for Developers and System Administrators
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