NobleProg delivers specialized Docker training courses in Georgia, catering to professionals across the US Florida sales area. These sessions are designed to enhance technical expertise and leadership skills tailored to the local industry demands. By leveraging our extensive network, participants gain access to high-quality instruction and practical learning experiences within the region.
Instructor-led live sessions, delivered either remotely or at customer facilities, utilize interactive dialogue and practical exercises to instruct participants on configuring Docker for the development and deployment of containerized solutions.
Instruction is offered as remote live training or onsite live training. Remote live instruction utilizes an interactive remote desktop environment. Onsite live instruction may be conducted at client locations in Georgia or at NobleProg corporate facilities in Georgia. These programs are designed for government and enterprise audiences seeking standardized technical competencies.
The curriculum encompasses the configuration and administration of Docker containers, including scaling strategies and orchestration via Kubernetes.
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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.
Continuous Integration and Continuous Delivery for artificial intelligence represents a systematic methodology for automating the packaging, validation, containerization, and deployment of models through established CI/CD pipelines.
This instructor-led program, available in online or onsite formats, targets intermediate professionals seeking to automate end-to-end AI model delivery processes utilizing Docker and CI/CD platforms.
Upon completion of this training, participants will demonstrate the ability to:
Develop automated pipelines for the construction and testing of AI model containers.
Establish version control mechanisms to ensure reproducibility throughout the model lifecycle.
Incorporate automated deployment strategies for artificial intelligence services.
Apply CI/CD best practices specifically adapted for machine learning operations.
Course Format
Instructor-guided presentations and technical discussions.
Practical laboratories and hands-on implementation exercises.
Realistic CI/CD workflow simulations conducted in a controlled environment.
Customization Options
For government entities requiring customized pipeline workflows or specific platform integrations, please contact us to tailor this course.
The deployment of hybrid artificial intelligence involves executing inference processes across cloud, on-premises, and edge infrastructures through standardized containerized workflows.
This instructor-led training session, available in online or onsite formats, targets advanced professionals seeking to architect and implement distributed AI inference systems within heterogeneous environments. The curriculum emphasizes operational frameworks for government
Upon successful completion of this program, participants will demonstrate the ability to:
Establish secure and scalable containerized AI services for multi-site deployments.
Execute AI inference workloads across cloud platforms, local servers, and edge devices utilizing Docker technology.
Implement orchestration tools to automate distributed AI operational processes.
Enhance inference latency, reliability, and resilience across diverse infrastructure components.
Training Format
Structured presentations facilitated by subject matter experts.
Comprehensive hands-on labs and applied practical exercises.
Real-world application within a controlled live-lab environment.
Customization Capabilities
For tailored modifications to align this curriculum with specific organizational infrastructure or use cases, please contact the training provider to arrange customization.
Docker serves as a containerization framework designed to establish portable, isolated, and secure deployment environments for artificial intelligence inference services.
This instructor-led, live training session (available online or onsite) targets beginner to intermediate technical professionals seeking to develop secure, portable AI inference microservices that can be consistently deployed across local workstations, servers, or cloud virtual machines. This curriculum is structured specifically for government applications.
Upon completion of this workshop, participants will demonstrate the ability to:
Create lightweight inference containers suitable for local and cloud deployment.
Apply best-practice security protocols to protect containerized AI services.
Execute portable microservice workflows to ensure environmental consistency.
Deploy AI inference endpoints across heterogeneous infrastructure environments.
Course Format
Guided instruction integrated with practical demonstrations.
Hands-on exercises designed to reinforce deployment and security methodologies.
Live laboratory practice for constructing and operating portable inference services.
Customization Options
To adapt this training to your specific infrastructure or AI tooling requirements, please contact us to arrange custom provisions.
This instructor-led live training, offered in Georgia via onsite or remote delivery, provides participants with the skills to deploy sample servers within containers and automate their scaling and management within a Kubernetes environment. The curriculum further addresses advanced operational requirements, guiding attendees through essential processes for securing, networking, and monitoring a Kubernetes cluster. This program is designed for government audiences requiring robust infrastructure management capabilities.
Upon completion of this training, participants will be able to:
Establish and operate Docker containers.
Deploy containerized databases and server applications.
Configure integrated Docker and Kubernetes clusters.
Leverage Kubernetes to orchestrate multiple environments within a single cluster.
Implement security protocols, scaling strategies, and monitoring systems for Kubernetes clusters.
Graphics processing unit (GPU) acceleration is a critical component for executing high-performance deep learning workloads in a scalable and efficient manner within federal IT environments.
This instructor-led live training, available in online or onsite formats, targets intermediate technical personnel responsible for configuring, optimizing, and deploying GPU-enabled artificial intelligence workloads within Docker containers for government applications.
Upon completion of this course, participants will demonstrate the ability to:
Construct and operate GPU-accelerated containers to support training and inference processes.
Configure CUDA, device drivers, and runtime libraries to support containerized AI operations.
Optimize resource allocation and isolation protocols for GPU-intensive applications.
Deploy scalable, containerized deep learning services within production-grade environments.
Course Structure
Interactive instruction reinforced by practical demonstrations.
Exercise-focused practice emphasizing GPU-enabled development techniques.
Practical implementation through a live-lab simulation environment.
Customization Options
To arrange customized training aligned with specific agency infrastructure or GPU stack requirements, please contact the training provider.
Docker serves as a containerization framework designed to construct reproducible, portable, and scalable environments for machine learning systems.
This instructor-led live training, available via online or onsite delivery, targets intermediate to advanced technical personnel seeking to containerize and operationalize end-to-end machine learning pipelines utilizing Docker technology. The program is structured to meet the specific requirements for government agencies adopting these methodologies.
Upon successful completion of this instruction, participants will demonstrate proficiency in:
Containerizing machine learning training, validation, and inference workloads.
Designing and orchestrating complete machine learning pipelines using Docker and complementary tools.
Implementing version control, reproducibility standards, and continuous integration/continuous deployment (CI/CD) for machine learning components.
Deploying, monitoring, and scaling machine learning services within containerized infrastructures.
Course Format
Interactive lectures supplemented by practical demonstrations.
Hands-on exercises focused on constructing real-world machine learning pipeline components.
Live laboratory sessions for implementing end-to-end containerized workflows.
Customization Options
For tailored training aligned with specific machine learning infrastructure requirements, please contact the program administrators to discuss available options.
Docker serves as a containerization framework that facilitates the creation of consistent, portable, and reproducible environments for artificial intelligence and machine learning applications.
This instructor-led training session, available online or at a designated location, is designed for intermediate-level practitioners seeking to package ML codebases, dependencies, and models using Docker to ensure reliable transitions from development to production within government operations.
Upon completion of this course, participants will be capable of:
Constructing and managing Docker images specifically optimized for AI and ML initiatives.
Containerizing machine learning pipelines, tools, and associated dependencies.
Enhancing Docker environments to improve performance and portability for government use cases.
Deploying containerized ML services across diverse runtime environments.
Course Delivery Format
Conceptual demonstrations accompanied by guided analysis.
This instructor-led, live training in Georgia (online or onsite) is designed for intermediate-level developers and DevOps engineers who intend to build, deploy, and manage microservices utilizing Spring Cloud and Docker. This program provides essential knowledge for government applications.
Upon completion of this training, participants will be capable of:
Creating microservices with Spring Boot and Spring Cloud.
Containerizing applications using Docker and Docker Compose.
Configuring service discovery, API gateways, and inter-service communication.
Monitoring and securing microservices within production environments.
Deploying and orchestrating microservices via Kubernetes.
During this instructor-led live training conducted in Georgia (either onsite or remotely), attendees will acquire the skills necessary to create and administer Docker containers and subsequently deploy a sample application within such an environment. The curriculum also covers the automation, scaling, and management of containerized workloads within a Kubernetes cluster. Furthermore, the instruction addresses advanced subjects, guiding participants through the procedures for securing, expanding capacity, and monitoring Kubernetes infrastructure. This comprehensive approach ensures that personnel are equipped with the technical expertise required for effective government operations and is designed specifically for government use cases.
Upon completion of this course, participants will demonstrate the ability to:
Configure and operate Docker containers.
Deploy containerized servers and web-based applications.
Construct and oversee Docker images.
Establish a combined Docker and Kubernetes cluster environment.
Utilize Kubernetes to deploy and manage clustered web applications.
Implement security measures, scaling protocols, and monitoring systems for a Kubernetes cluster.
The Certified Kubernetes Administrator (CKA) credential is administered by The Linux Foundation in partnership with the Cloud Native Computing Foundation (CNCF).
Kubernetes has established itself as a premier platform for container orchestration.
NobleProg has provided Docker and Kubernetes instruction since 2015. Having successfully completed over 360 training initiatives, the organization is recognized globally as a leading provider of expertise in containerization solutions for government and public sector workflows.
Since 2019, we have assisted clients in validating their Kubernetes proficiency by preparing them for the CKA and CKAD certification examinations.
This instructor-led live training, available either online or onsite, is designed for system administrators and Kubernetes practitioners seeking to validate their expertise through the CKA examination process.
Additionally, the curriculum emphasizes practical administrative skills; therefore, participation is recommended even for those who do not plan to pursue official certification.
Course Format
Interactive lectures and facilitated discussions.
Extensive exercises and practice opportunities.
Hands-on implementation within a live laboratory environment.
Customization Options
To request customized training for this course, please contact us to arrange.
For more information regarding CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
This comprehensive five-day instructional program provides federal personnel with the necessary expertise to construct, implement, and manage containerized infrastructure utilizing Docker, Kubernetes, and OpenShift technologies. The curriculum delivers rigorous, practical instruction on critical domains including container image management, Kubernetes workload orchestration, cluster networking configurations, persistent storage solutions, security protocols, monitoring frameworks, and operational administration of OpenShift environments. By completing this training for government professionals, attendees will acquire the competencies required to sustain contemporary container platforms and effectively diagnose application issues within both development and production workflows.
The Certified Kubernetes Application Developer (CKAD) curriculum was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.
This instructor-led live training, available online or on-site, is designed for Developers seeking to validate their proficiency in designing, building, configuring, and exposing cloud native applications within Kubernetes environments.
Furthermore, the program emphasizes practical application development skills; participation is recommended for professional development, regardless of an intent to sit for the CKAD examination.
NobleProg has provided Docker and Kubernetes training since 2015. With over 360 successfully completed projects, the organization has become a leading provider globally in containerization education. Since 2019, we have assisted clients in demonstrating their capabilities within k8s environments by preparing them to pass the CKA and CKAD exams.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice opportunities.
Hands-on implementation within a live-lab environment.
Customization Options
To arrange customized training for this course, please contact our team.
For additional information regarding CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
This professional development resource is designed for government agencies and contractors seeking to enhance their technical capabilities.
The Georgia offering equips attendees with foundational knowledge of Rancher and facilitates practical experience in deploying and administering Kubernetes clusters. This program is designed specifically for government audiences seeking to implement robust infrastructure management solutions for government use cases.
This instructor-led, live training session, available via Georgia (online or onsite), is designed for engineering professionals seeking to expand their expertise in Docker. The program focuses on deploying applications at scale while ensuring strict operational control.
Upon completion of this coursework, participants will be equipped to:
Create custom Docker images.
Deploy and manage a high volume of Docker-based applications.
Assess various container orchestration platforms and select the optimal solution for their environment.
Establish continuous integration workflows specifically for Docker deployments.
Integrate Docker solutions with existing continuous integration frameworks, providing robust tools for government agencies.
Implement security best practices to protect Docker applications.
Docker provides an open-source framework designed to automate the construction, distribution, and execution of applications within containerized environments.
This instructor-led live training, available online or on-site, is intended for engineering personnel seeking to utilize Docker for deploying and managing software as containers rather than relying on conventional standalone architectures. The program supports federal workforce development for government entities and their contractors.
Upon completion of this curriculum, participants will be equipped to:
Install and configure the Docker platform.
Comprehend and apply software containerization principles.
Administer applications built on Docker technology.
Establish network connectivity among Dockerized applications and systems.
Navigate and modify Docker registries.
Course Structure
Incorporates interactive lectures and policy-aligned discussions.
Features extensive exercises and practical application.
Provides hands-on implementation within a secure live-lab environment.
Customization Availability
To request a tailored training module for this course, please contact the administration to arrange logistics.
For additional information regarding Docker capabilities, visit: https://www.docker.com
This instructor-led, hands-on training session in Georgia provides a comprehensive overview of developing microservices architectures via Spring Cloud and Docker. The curriculum blends theoretical concepts with practical application, requiring participants to demonstrate competency through guided exercises and the sequential creation of sample microservice components.
Upon completion of this program, attendees will be equipped to:
Demonstrate a foundational understanding of microservices principles.
Utilize Docker to construct containers for microservice-based applications.
Develop and deploy containerized microservices utilizing Spring Cloud and Docker technologies.
Implement integrations between microservices, discovery mechanisms, and the Spring Cloud API Gateway.
Conduct end-to-end integration testing through the use of Docker Compose.
Red Hat OpenShift serves as a premier Kubernetes platform designed for the deployment and management of containerized applications across cloud, hybrid, and on-premises infrastructures, providing robust support for federal IT modernization efforts.
This instructional course equips participants with the technical proficiency required to install, administer, and troubleshoot OpenShift clusters, while adhering to established security, networking, and storage standards. Through practical exercises, attendees develop the competencies necessary to manage production-grade environments that meet the rigorous operational and accountability requirements for government.
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Testimonials (6)
The training met expectations with its clear explanations, real-world examples, and hands-on labs that made complex topics easy to understand. It provided valuable insights into container orchestration, security, scaling and many other advanced topics.
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.
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