Hybrid AI Deployment: Docker, Cloud, and Edge Integration Training Course

This instructor-led, live training in France (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.
• Secure their Docker applications.

Docker serves as a containerization platform that facilitates consistent, portable, and reproducible environments specifically for AI and machine learning workloads.

This instructor-led, live training session, available online or onsite, is designed for intermediate-level professionals looking to package ML codebases, dependencies, and models using Docker to ensure reliable workflows from development to production.

Upon completion of this course, participants will be equipped to:

• Construct and oversee Docker images optimized for AI and ML applications.
• Encapsulate machine learning pipelines, tools, and dependencies within containers.
• Tune Docker environments for enhanced performance and portability.
• Implement containerized ML services across various runtime environments.

Instructional Methodology

• Conceptual demonstrations accompanied by guided discussions.
• Practical exercises centered on real-world containerization scenarios.
• Applied implementation within live-lab Docker environments.

Customization Possibilities

• Please reach out to us to discuss tailoring this training to fit your organizational environment.

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 seeking to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

Upon completion of the training, participants will be able to:

• Establish automated pipelines for building and testing AI model containers.
• Ensure version control and reproducibility throughout model lifecycles.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically tailored to machine learning operations.

Format of the Course also allows for the evaluation of participants.

• 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

• If your organization requires customized pipeline workflows or platform integrations, please contact us to tailor this course.

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/

Docker is an open-source platform designed to automate the process of building, shipping, and running applications within containers.

This instructor-led live training (available online or onsite) is designed for engineers who want to deploy and manage software as containers rather than traditional standalone applications.

Upon completing 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.
• Understand and edit Docker registries.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange it.
• To learn more about Docker, please visit: https://www.docker.com

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.

In this instructor-led live training in France (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.
• Secure, scale and monitor a Kubernetes cluster.

Docker serves as a robust containerization platform, enabling the creation of reproducible, portable, and scalable environments tailored for machine learning systems.

This live, instructor-led training, available online or on-site, is designed for intermediate to advanced technical professionals seeking to containerize and operationalize comprehensive ML pipelines using Docker.

By the end of this program, participants will be equipped to:

• Encapsulate ML training, validation, and inference workloads within containers.
• Architect and orchestrate full-cycle ML pipelines leveraging Docker and associated tools.
• Establish versioning, reproducibility, and CI/CD workflows for ML components.
• Deploy, oversee, and scale ML services within containerized infrastructure.

Course Structure

• Engaging lectures complemented by practical demonstrations.
• Practical exercises centered on developing authentic ML pipeline elements.
• Real-time lab sessions implementing end-to-end containerized workflows.

Customization Options

• For tailored training aligned with specific ML infrastructure requirements, please reach out to us to explore available options.

Training Objectives: Gain theoretical and practical skills in Docker and Kubernetes.

Utilizing GPU acceleration is pivotal for executing high-performance deep learning tasks with both scalability and efficiency.

Designed for intermediate-level technical experts, this instructor-led live training (available online or onsite) focuses on the configuration, optimization, and execution of GPU-capable AI workloads within Docker containers.

Upon completion, participants will be equipped to:

• Develop and execute GPU-enabled containers for both training and inference phases.
• Set up CUDA, drivers, and runtime libraries to support containerized AI pipelines.
• Enhance resource allocation and isolation strategies for applications with high GPU demands.
• Implement scalable, containerized deep learning services within production environments.

Course Delivery Methodology

• Engaging instruction complemented by practical, real-world examples.
• Exercise-centric practice emphasizing GPU-assisted development workflows.
• Direct, hands-on application in a live laboratory setting.

Customization Opportunities

• To align the training with your specific infrastructure or GPU configuration, please reach out to us for arrangements.

In this instructor-led, live training in France (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.
• Secure, scale and monitor a Kubernetes cluster.

In this instructor-led live training in France, 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.

This instructor-led, live training in France (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.

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.