Instructor-led live Docker training courses, available either online or on-site, use interactive discussions and hands-on practice to show how to configure Docker for developing and deploying containerized applications.
Docker training is offered as "online live training" or "onsite live training". The online option (also known as "remote live training") is conducted via an interactive remote desktop. On-site training can take place locally at your location in Delft or at NobleProg's corporate training facilities in Delft.
Docker courses cover the setup and management of Docker containers, including scaling and orchestration with Kubernetes.
NobleProg -- Your Local Training Provider
Delft
The Office Operators - Delft Whitepark, Poortweg 4, Delft, Netherlands, 2612 PA
Whitepark is located directly at exit 9 of the A13, directly opposite IKEA. This visible location consists of two buildings in a green environment and is very striking because of the white exterior. The use of large windows provides an abundance of daylight in the office spaces. The concrete cast floors and light finish at a high level ensure a pleasant working environment.
CI/CD for AI offers a structured methodology for automating the packaging, testing, containerization, and deployment of machine learning models through continuous integration and 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 using Docker and CI/CD platforms.
Upon completion of the training, participants will be equipped to:
Establish automated pipelines for building and testing AI model containers.
Implement version control and ensure reproducibility throughout the model lifecycle.
Integrate automated deployment strategies for AI services.
Apply CI/CD best practices specifically 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 conducted in a controlled environment.
Course Customization Options
Should your organization require customized pipeline workflows or platform integrations, please contact us to tailor this course accordingly.
Hybrid AI deployment involves executing AI inference across cloud, on-premise, and edge infrastructures using standardized container-based workflows.
This instructor-led live training (available online or onsite) is designed for advanced professionals who aim to architect and deploy distributed AI inference systems within heterogeneous environments.
Upon completing this training, participants will be able to:
Construct secure and scalable containerized AI services for multi-site deployments.
Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
Utilize orchestration tools to automate distributed AI operations.
Enhance inference latency, reliability, and resilience across diverse infrastructure landscapes.
Course Format
Guided presentations and expert-led discussions.
Comprehensive hands-on practice and applied exercises.
Real-world experimentation within a controlled live-lab environment.
Course Customization Options
For tailored adjustments to align this course with your organization’s infrastructure or specific 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 tailored for beginner to intermediate-level technical professionals who aim to build secure, portable AI inference microservices that can be consistently deployed across local machines, servers, or cloud virtual machines.
By the end of this workshop, participants will be able to:
Create lightweight inference containers suitable for both local and cloud deployment.
Enhance the security of containerized AI services using industry best practices.
Establish portable microservice workflows to ensure consistent environments.
Deploy AI inference endpoints across a variety of infrastructures.
Course Format
Guided lectures complemented by practical demonstrations.
Hands-on exercises designed to reinforce deployment and security techniques.
Live lab practice for constructing and running portable inference services.
Course Customization Options
To adapt this training to your specific infrastructure or AI tooling stack, please contact us to arrange it.
In this instructor-led live training in Delft (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.
GPU acceleration is critical for executing high-performance deep learning workloads in a scalable and efficient manner.
This instructor-led, live training (available online or onsite) targets intermediate-level technical professionals seeking 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 for containerized AI workflows.
Optimizing resource allocation and isolation for GPU-intensive applications.
Deploying 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.
Docker serves as a containerization platform designed to build reproducible, portable, and scalable environments for ML systems.
This instructor-led live training (available online or onsite) targets intermediate to advanced technical professionals who aim to containerize and operationalize complete ML pipelines using Docker.
After completing 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.
Course Format
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.
Docker serves as a containerization platform that facilitates consistent, portable, and reproducible environments for artificial intelligence and machine learning workloads.
This instructor-led live training (available online or onsite) targets intermediate-level professionals who aim to package ML codebases, dependencies, and models using Docker to establish reliable workflows from development to production.
Upon completing this course, participants will be able to:
Build and manage Docker images specifically designed for AI and ML applications.
Containerize machine learning pipelines, tools, and their dependencies.
Optimize Docker environments for enhanced performance and portability.
Deploy containerized ML services across various runtime environments.
Course Format
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.
This instructor-led live training in Delft (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.
In this instructor-led live training in Delft (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.
The Certified Kubernetes Administrator (CKA) credential was established by The Linux Foundation in partnership with the Cloud Native Computing Foundation (CNCF).
Kubernetes has emerged as the leading platform for container orchestration.
Since 2015, NobleProg has specialized in delivering Docker and Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the globally recognized leaders in containerization education.
Since 2019, we have further supported our customers by helping them validate their expertise in Kubernetes environments through rigorous preparation for the CKA and CKAD examinations.
This instructor-led live training (available online or onsite) is designed for System Administrators and Kubernetes practitioners seeking to validate their skills by passing the CKA exam.
Additionally, the course emphasizes gaining practical experience in Kubernetes administration. Therefore, we recommend participating even if you do not plan to sit for the CKA exam.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live-lab environment.
Customization Options
To request customized training for this course, please contact us to arrange details.
For more information about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
Learn how to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.
The Certified Kubernetes Application Developer (CKAD) certification is administered 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 expertise in designing, building, configuring, and exposing cloud-native applications on Kubernetes.
Additionally, the course emphasizes practical experience in Kubernetes application development. We recommend participating even if you do not plan to take the CKAD exam.
NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successful training projects completed, we have become one of the most recognized training providers globally in the field of containerization. Since 2019, we have also helped our customers validate their performance in k8s environments by preparing them to pass the CKA and CKAD exams.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live laboratory environment.
Course Customization Options
To request 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/
This instructor-led, live course in Delft provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
This instructor-led live training in Delft (online or onsite) is designed for engineers who wish to advance their knowledge of Docker 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 manage a 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 Delft (online or onsite) is designed for engineers who wish to use Docker to deploy and manage software as containers instead of traditional standalone software.
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.
In this instructor-led, live training held at Delft, 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 is one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid and on-premises environments.
This hands-on training teaches participants how to install, administer and troubleshoot OpenShift clusters while applying security, networking and storage best practices. Through practical exercises, participants gain the skills needed to confidently manage production-ready OpenShift environments.
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
Provisional Upcoming Courses (Contact Us For More Information)
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