Whether delivered online or on-site, these live, instructor-led Docker training courses employ interactive discussions and hands-on exercises to demonstrate how to configure Docker for the development and deployment of containerized applications.
Docker training is offered in both "online live" and "onsite live" formats. Online live training, also referred to as "remote live training," is conducted via an interactive remote desktop. Conversely, onsite live training takes place either at your local premises in Lille or at NobleProg’s corporate training centers in Lille.
The curriculum covers the setup and management of Docker containers, with a specific focus on scaling and orchestration using Kubernetes.
NobleProg -- Your Regional Training Partner
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This live training on Lille focuses on automating Docker-based AI model builds and deployments through CI/CD. It addresses packaging, testing, version control, and deployment strategies within MLOps. Learners will acquire practical skills in pipeline creation and secure container management.
This instructor-led training in Lille focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will learn to develop secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
This instructor-led training in Lille equips technical professionals with the skills to develop secure, portable AI inference microservices using Docker. Through hands-on practice, participants master the containerization of models, the security of services, and the consistent deployment of these solutions across local, server, or cloud environments.
In this instructor-led, live training in Lille (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.
This instructor-led course on Lille enables intermediate professionals to set up and optimize AI workloads that utilize GPU power within Docker containers. Learners will gain the skills to create CUDA-compatible images, oversee multi-GPU operations, and roll out scalable deep learning services ready for production use.
This instructor-led course in Lille walks professionals through the process of containerizing entire ML pipelines with Docker. Participants will learn to build reproducible environments, manage training and inference workloads, and implement CI/CD for scalable MLOps deployments.
This instructor-led training on Lille guides intermediate professionals in containerizing AI and ML workloads with Docker. Learners will master building optimized images, handling dependencies, and deploying stable pipelines, acquiring the practical skills needed for consistent, portable production environments.
This instructor-led, live training in Lille (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 Lille (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.
This instructor-led, live training in Lille prepares participants for the Certified Kubernetes Administrator (CKA) exam. It offers hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or looking to develop practical cluster management skills.
Master the skills to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This intensive five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage solutions, security protocols, monitoring techniques, and practical OpenShift administration. Participants will acquire the necessary competencies to operate modern container platforms effectively and troubleshoot applications across both development and production environments.
This instructor-led CKAD training in Lille equips developers for the Certified Kubernetes Application Developer exam through practical hands-on labs. The course covers the design, development, and security of cloud-native apps by leveraging core Kubernetes concepts, deployment strategies, and networking fundamentals.
This instructor-led, live course in Lille provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
This live, instructor-led training in Lille (available online or on-site) is designed for engineers seeking to expand their Docker knowledge. The focus is on deploying applications at scale while ensuring robust control.
By the end of the course, participants will be equipped to:
Build custom Docker images.
Deploy and manage a large number of Docker applications.
Evaluate and select the most suitable container orchestration solution.
Set up a continuous integration process for Docker applications.
Integrate Docker applications with existing continuous integration tools and processes.
This live, instructor-led training in Lille explores the fundamental principles of Docker, enabling participants to automate the workflow of constructing, delivering, and executing applications inside containers. Learners will develop practical competencies in installing Docker, handling images, configuring networks, and managing registries.
In this instructor-led live training in Lille, participants will learn the essentials of building microservices using Spring Cloud and Docker. Their understanding will be tested 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.
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Testimonials (5)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
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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