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.
Docker training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Docker trainings in Sofia can be carried out locally on customer premises or in NobleProg corporate training centers.
Docker training courses cover setup and management of Docker containers, including scaling and orchestration with Kubernetes.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
CI/CD for AI provides a structured methodology for automating the packaging, testing, containerization, and deployment of AI models through continuous integration and continuous delivery pipelines.
This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals seeking to automate end-to-end AI model delivery workflows utilizing Docker and CI/CD platforms.
Upon completion of the training, participants will be capable of:
Establishing automated pipelines for the construction and testing of AI model containers.
Enforcing version control and reproducibility throughout the model lifecycle.
Integrating automated deployment strategies for AI services.
Applying CI/CD best practices specifically adapted for 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 within a controlled environment.
Course Customization Options
If your organization requires customized pipeline workflows or specific platform integrations, please contact us to tailor this course to your needs.
Hybrid AI deployment involves executing AI inference across cloud, on-premise, and edge environments through unified container-based workflows.
This instructor-led, live training (available online or onsite) is designed for advanced-level professionals aiming to design and deploy distributed AI inference systems across heterogeneous environments.
Upon completing this training, participants will be able to:
Create secure and scalable containerized AI services for multi-location environments.
Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
Integrate orchestration tools to automate distributed AI operations.
Optimize inference latency, reliability, and resilience across diverse infrastructure.
Course Format
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
To tailor this course to your organization’s specific infrastructure or use cases, please contact us to customize the training.
Docker serves as a containerization platform designed to create portable, isolated, and secure deployment environments for AI inference services.
This instructor-led live training (available online or onsite) is designed for beginner to intermediate technical professionals who aim to build secure, portable AI inference microservices that can be consistently deployed across local machines, servers, or cloud VMs.
Upon completing this workshop, participants will be able to:
Construct lightweight inference containers for both local and cloud deployment.
Secure containerized AI services by applying best-practice techniques.
Implement portable microservice workflows to ensure 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 Sofia (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.
Leveraging GPU acceleration is crucial for executing high-performance deep learning workloads in a scalable and efficient manner.
This instructor-led live training, available either online or onsite, is designed for technical professionals with intermediate expertise who aim to configure, optimize, and deploy GPU-enabled AI workloads within Docker containers.
Upon completing this course, participants will be capable of:
Constructing and running GPU-enabled containers for both training and inference tasks.
Setting up CUDA, drivers, and runtime libraries to support containerized AI workflows.
Optimizing resource allocation and isolation for applications heavily reliant on GPUs.
Deploying scalable, containerized deep learning services within production environments.
Course Format
Interactive instruction complemented by real-world demonstrations.
Exercise-driven practice focusing on GPU-enabled development.
Hands-on implementation within a live laboratory environment.
Customization Options
For training tailored to your specific infrastructure or GPU stack, please contact us to arrange.
Docker serves as a containerization platform designed to create reproducible, portable, and scalable environments for machine learning systems.
This instructor-led live training, available online or on-site, targets technical professionals at intermediate to advanced levels who aim to containerize and operationalize complete ML pipelines using Docker.
Upon completing this course, participants will be able to:
Containerize ML workloads for training, validation, and inference.
Design and orchestrate end-to-end ML pipelines using Docker and complementary tools.
Implement version control, reproducibility, and CI/CD practices for ML components.
Deploy, monitor, and scale ML services within containerized environments.
Course Format
Interactive lectures reinforced by practical demonstrations.
Hands-on exercises focused on constructing real-world ML pipeline components.
Live laboratory implementation for end-to-end containerized workflows.
Course Customization Options
For customized training tailored to specific ML infrastructure requirements, please contact us to explore options.
Docker serves as a containerization platform, providing consistent, portable, and reproducible environments specifically designed for AI and machine learning workloads.
This instructor-led training, available both online and on-site, targets intermediate-level professionals who aim to encapsulate ML codebases, dependencies, and models within Docker to ensure reliable workflows from development to production.
Upon finishing this course, participants will be capable of:
Creating and managing Docker images customized for AI and ML applications.
Containerizing machine learning pipelines, tools, and associated dependencies.
Optimizing Docker environments to enhance performance and portability.
Deploying containerized ML services across various runtime environments.
Course Format
Concept demonstrations accompanied by guided discussions.
Hands-on exercises focused on practical, real-world containerization tasks.
Practical implementation within live-lab Docker environments.
Customization Options
For training tailored to your organizational needs, please reach out to us to arrange a session.
This instructor-led, live training in Sofia (online or onsite) is designed for developers and DevOps engineers with intermediate-level skills who wish to build, deploy, and manage microservices using Spring Cloud and Docker.
Upon completing this training, participants will gain the ability to:
Create microservices utilizing Spring Boot and Spring Cloud.
Containerize applications using Docker and Docker Compose.
Implement service discovery, API gateways, and inter-service communication mechanisms.
Monitor and secure microservices within production environments.
Deploy and orchestrate microservices using Kubernetes.
In this instructor-led live training in Sofia (onsite or remote), participants will learn to create and manage Docker containers and deploy a sample application within one. Attendees will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training progresses to more advanced topics, guiding 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.
The Certified Kubernetes Administrator (CKA) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
Today, Kubernetes stands as the leading platform for container orchestration.
Since 2015, NobleProg has been providing Docker and Kubernetes training. With over 360 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization.
Since 2019, we have also been assisting our clients in validating their proficiency in Kubernetes (k8s) environments by preparing them for and encouraging them to take the CKA and CKAD exams.
This instructor-led, live training (available online or onsite) is designed for System Administrators and Kubernetes users who wish to validate their knowledge by passing the CKA exam.
Furthermore, the training emphasizes gaining practical experience in Kubernetes Administration. Therefore, we recommend participating even if you do not plan 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 customized training for this course, please contact us to make arrangements.
To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
The Certified Kubernetes Application Developer (CKAD) program is developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.
This instructor-led, live training (available online or onsite) is aimed at Developers who want to validate their skills in designing, building, configuring, and exposing cloud native applications for Kubernetes.
Additionally, the training focuses on gaining practical experience in Kubernetes application development, so we recommend participating even if you do not plan to take the CKAD exam.
NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the most recognized training companies globally in the field of containerization. Since 2019, we have also been helping our customers validate their performance in Kubernetes environments by preparing them to pass the CKA and CKAD exams.
Course Format
Interactive lectures and discussions.
Plenty 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 it.
For more information about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
This instructor-led, live training session in Sofia provides participants with an overview of Rancher and demonstrates through practical exercises how to deploy and manage a Kubernetes cluster using Rancher.
This instructor-led, live training in Sofia (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.
This instructor-led, live training in Sofia (online or onsite) is designed for engineers who want to deploy and manage software as containers instead of as traditional standalone applications.
Upon completion 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.
In this instructor-led, live training held in Sofia, 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.
OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform created by Red Hat, designed to automate the deployment, scaling, and management of containerized applications.
This instructor-led, live training (available online or onsite) targets system administrators and DevOps engineers who want to deploy, manage, and operate OpenShift clusters in production environments.
The course offers a hands-on approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and operating applications at scale.
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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