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 training can be carried out locally on customer premises in Lyon or in NobleProg corporate training centers in Lyon.
Docker training courses cover setup and management of Docker containers, including scaling and orchestration with Kubernetes.
NobleProg -- Your Local Training Provider
Lyon, Swisslife Tower
NobleProg Lyon, 10 Place Charles Béraudier, Lyon, france, 69000
Located 200 meters far from the train station TGV, Swisslife Tower is today the most representative building of this quarter of Lyon. The Business Center offers you a perfect location for your training.
Gares TGV
100meters from Gare TGV Part-Dieu , porte du Rhône Exit
Aéroport
30 minutes from Lyon Saint Exupéry (Satolas)
Rhône Express from Saint Exupéry airport (Terminus Gare part-Dieu)
CI/CD for AI represents a structured methodology for automating the packaging, testing, containerization, and deployment of models through continuous integration and delivery pipelines.
This instructor-led live training, available online or onsite, targets intermediate-level professionals aiming to automate end-to-end AI model delivery workflows leveraging Docker and CI/CD platforms.
Upon completion of the training, participants will be capable of:
Establishing automated pipelines for constructing and testing AI model containers.
Implementing version control and ensuring reproducibility throughout the model lifecycle.
Integrating automated deployment strategies for AI services.
Applying CI/CD best practices specifically tailored to machine learning operations.
Course Format
Instructor-guided presentations coupled with technical discussions.
Practical labs and hands-on implementation exercises.
Realistic CI/CD workflow simulations conducted within a controlled environment.
Course Customization Options
Should your organization require customized pipeline workflows or specific platform integrations, please contact us to tailor this course accordingly.
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 both online and onsite, is designed for advanced professionals aiming to design and deploy distributed AI inference systems within heterogeneous environments.
After completing this training, participants will be capable of:
Developing secure and scalable containerized AI services for multi-site environments.
Deploying AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
Integrating orchestration tools to automate distributed AI operations.
Enhancing inference latency, reliability, and resilience across diverse infrastructures.
Course Format
Guided presentations and discussions led by experts.
Ample hands-on practice and applied exercises.
Real-world experimentation within a controlled live-lab environment.
Customization Options
For personalized adjustments to align this course with your organization's infrastructure or specific use cases, please contact us to arrange custom 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 on-site, targets technical professionals at the beginner to intermediate level who aim to develop secure, portable AI inference microservices deployable across local machines, servers, or cloud virtual machines.
By the end of this workshop, participants will be able to:
Build lightweight inference containers for both local and cloud deployment.
Secure containerized AI services by applying industry best practices.
Implement portable microservice workflows to ensure consistent environments.
Deploy AI inference endpoints across diverse infrastructures.
Course Format
Guided lectures complemented by practical demonstrations.
Hands-on exercises to reinforce deployment and security techniques.
Live-lab practice focused on 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 Lyon (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 tasks in a scalable and efficient way.
This instructor-led live training, available online or onsite, targets intermediate technical professionals who want to configure, optimize, and run GPU-enabled AI workloads within Docker containers.
Upon completing this course, participants will be able to:
Create and operate GPU-enabled containers for both training and inference.
Set up 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.
Course Format
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 construct reproducible, portable, and scalable environments for machine learning systems.
This instructor-led training session, available either online or onsite, targets technical professionals with intermediate to advanced skills who aim to containerize and operationalize complete ML pipelines using Docker.
After completing this training, participants will be equipped to:
Containerize workloads for ML training, validation, and inference.
Design and orchestrate end-to-end ML pipelines utilizing Docker and complementary tools.
Implement versioning, ensure reproducibility, and integrate CI/CD practices for ML components.
Deploy, monitor, and scale ML services within containerized environments.
Course Format
Interactive lectures accompanied by practical demonstrations.
Hands-on exercises centered on constructing real-world ML pipeline components.
Live-lab implementation focused on end-to-end containerized workflows.
Course Customization Options
For training tailored to specific ML infrastructure requirements, please contact us to explore available options.
Docker serves as a containerization platform that facilitates consistent, portable, and reproducible environments for AI and machine learning workloads.
This instructor-led live training, available either online or on-site, targets intermediate-level professionals aiming to package ML codebases, dependencies, and models using Docker to ensure reliable workflows from development to production.
Upon completing this course, participants will be able to:
Create and manage Docker images specifically designed for AI and ML applications.
Containerize machine learning pipelines, tools, and dependencies.
Optimize Docker environments for both performance and portability.
Deploy containerized ML services across various runtime environments.
Course Format
Conceptual demonstrations accompanied by guided discussions.
Hands-on exercises centered on real-world containerization challenges.
Practical implementation using live-lab Docker environments.
Course Customization Options
To tailor this training to your organizational needs, please contact us to arrange a session.
This instructor-led, live training in Lyon (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 Lyon (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) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
Kubernetes has become a leading platform for container orchestration.
NobleProg has been providing Docker & Kubernetes training since 2015. With over 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 and encouraging them to pass the CKA and CKAD exams.
This instructor-led, live training (online or onsite) is designed for System Administrators and Kubernetes users who wish to validate their knowledge by passing the CKA exam.
Additionally, the training focuses on gaining practical experience in Kubernetes Administration, so we recommend participating even if you do not intend to take the CKA exam.
Course Format
Interactive lectures and discussions.
Ample exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka
The Certified Kubernetes Application Developer (CKAD) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host organization for Kubernetes.
This instructor-led, live training (available online or onsite) is designed for Developers who want to validate their expertise in designing, building, configuring, and exposing cloud native applications on Kubernetes.
Furthermore, the training emphasizes gaining practical experience in Kubernetes application development; therefore, we recommend participating even if you do not plan to take the CKAD exam.
NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers worldwide in the field of containerization. Since 2019, we have also been assisting our customers in validating their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.
Course Format
Interactive lectures and discussions.
Abundant exercises and practice.
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 CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
This instructor-led, live course in Lyon 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 Lyon (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 Lyon (online or onsite) is designed for engineers who wish to use Docker to deploy and manage software as containers instead of as traditional stand-alone 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 in Lyon, 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 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) is tailored for system administrators and DevOps engineers who aim to deploy, manage, and operate OpenShift clusters within production environments.
The course adopts a practical, hands-on approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and running 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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