Containerized AI & ML Deployment with Docker Training Course

This instructor-led, live training in Sweden (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.

CI/CD for AI represents a systematic method for automating the packaging, testing, containerization, and deployment of models through continuous integration and delivery pipelines.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals aiming to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

Upon completing the training, participants will be able to:

• Establish automated pipelines for constructing and testing AI model containers.
• Enforce version control and reproducibility across model lifecycles.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically adapted for machine learning operations.

Format of the Course

• Instructor-led 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 established ourselves as one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their skills in Kubernetes environments by preparing them and encouraging them to pass 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.

Additionally, the training focuses on gaining practical experience in Kubernetes Administration, so we recommend attending even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Extensive 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 organization responsible for hosting Kubernetes.

This instructor-led live training, available online or at your location, is designed for developers who want to validate their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Additionally, the training emphasizes practical experience in Kubernetes application development. Therefore, we recommend attending even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker and 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 assisted our customers in validating their performance in Kubernetes environments by preparing and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Numerous 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 arrange it.
• For more information about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

Docker is an open-source platform designed for automating the creation, distribution, and execution of applications within containers.

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

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

• Install and configure Docker.
• Comprehend and implement software containerization.
• Manage Docker-based applications.
• Connect various Docker applications and systems.
• Understand and edit Docker registries.

Course Format

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

Customization Options

• To request a tailored version of this course, please contact us to make arrangements.
• For more information about Docker, visit: https://www.docker.com

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 will acquire the necessary skills to operate modern container platforms and troubleshoot applications across both development and production environments.

In this instructor-led, live training in Sweden (onsite or remote), attendees will learn to create and manage Docker containers, then deploy a sample application within a container. Participants will also learn to automate, scale, and manage their containerized applications within a Kubernetes cluster. Additionally, the training covers advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

Upon completing this training, participants will be capable of:

• Establishing and executing a Docker container.
• Deploying a containerized server and web application.
• Constructing and administering Docker images.
• Setting up a Docker and Kubernetes cluster.
• Utilizing Kubernetes to deploy and manage a clustered web application.
• Securing, scaling, and monitoring a Kubernetes cluster.

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

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

By the end of this training, participants will have the capability to:

• Containerize ML training, validation, and inference workloads.
• Design and orchestrate end-to-end ML pipelines leveraging Docker and associated tools.
• Implement versioning, reproducibility, and CI/CD practices for ML components.
• Deploy, monitor, and scale ML services within containerized environments.

Course Format

• Interactive lectures complemented by practical demonstrations.
• Hands-on exercises centered on developing real-world ML pipeline components.
• Live-lab implementation covering end-to-end containerized workflows.

Customization Options

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

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

To execute high-performance deep learning tasks with both scalability and efficiency, leveraging GPU acceleration is critical.

This live, instructor-led program (available online or on-site) is designed for intermediate-level technical experts seeking to master the configuration, optimization, and execution of GPU-driven AI workloads within Docker containers.

Upon completing this course, participants will be equipped to:

• Construct and operate GPU-enabled containers for both training and inference phases.
• Set up CUDA, drivers, and runtime libraries to streamline containerized AI processes.
• Refine resource allocation and isolation strategies specifically for GPU-heavy applications.
• Implement scalable, container-based deep learning services in live production settings.

Course Format

• Engaging instruction complemented by practical, real-world examples.
• Practice-focused exercises centered on GPU-enabled development workflows.
• Direct hands-on implementation within a live-lab setting.

Customization Opportunities

• For training tailored to your specific infrastructure or GPU stack, please reach out to us to coordinate.

Hybrid AI deployment involves executing AI inference across cloud, on-premise, and edge environments using unified container-based workflows.

This instructor-led training, available online or onsite, targets advanced professionals aiming to design and deploy distributed AI inference systems within heterogeneous environments.

Upon completing this training, participants will be equipped to:

• Create secure, scalable, containerized AI services for multi-location settings.
• Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Leverage orchestration tools to automate distributed AI operations.
• Enhance inference latency, reliability, and resilience across diverse infrastructure.

Format of the Course

• Guided presentations accompanied by expert-led discussions.
• Extensive hands-on practice through applied exercises.
• Real-world experimentation within a controlled live-lab environment.

Course Customization Options

• To tailor this course to align with your organization’s infrastructure or specific use cases, please contact us for customization options.

In this instructor-led, live training in Sweden (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 conducted in Sweden, participants will learn the essential principles of building microservices using Spring Cloud and Docker. Knowledge is assessed through practical exercises and the incremental development of sample microservices.

By the conclusion 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 Sweden (online or onsite) is designed for 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 stands as one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.

This hands-on training instructs participants on how to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants acquire the skills necessary to confidently manage production-ready OpenShift environments.