Docker Training in Oslo

CI/CD for AI is a methodical approach to automating the packaging, testing, containerization, and deployment of machine learning models using continuous integration and delivery pipelines.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who aim to automate end-to-end workflows for delivering AI models using Docker and CI/CD platforms.

By the end of the training, participants will be able to:

• Develop 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 in a controlled environment.

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is designed for advanced-level professionals who want to design and deploy distributed AI inference systems across diverse environments.

Upon completing this training, participants will be able to:

• Develop secure and scalable containerized AI services for multi-location setups.
• Deploy AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Integrate orchestration tools to automate distributed AI operations.
• Optimize inference latency, reliability, and resilience across various infrastructure types.

Format of the Course

• Guided presentations and expert-led discussions.
• Extensive hands-on practice and applied exercises.
• Real-world experimentation in a controlled live-lab environment.

Course Customization Options

• For customized adjustments to align this course with your organization’s infrastructure or specific use cases, please contact us to tailor the training.

Docker is a containerization platform used to create portable, isolated, and secure deployment environments for AI inference services.

This instructor-led, live training (online or onsite) is designed for technical professionals at the beginner to intermediate level who wish to build secure, portable AI inference microservices that can be deployed consistently across local machines, servers, or cloud VMs.

By the end of this workshop, participants will be able to:

• Create lightweight inference containers for both local and cloud deployment.
• Ensure the security of containerized AI services using best-practice techniques.
• Implement portable microservice workflows for consistent environments.
• Deploy AI inference endpoints across various infrastructures.

Format of the Course

• Guided lectures combined with practical demonstrations.
• Hands-on exercises to reinforce deployment and security techniques.
• Live-lab practice for 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 Oslo (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.

GPU acceleration is crucial for executing high-performance deep learning tasks in a scalable and efficient way.

This instructor-led, live training (available online or on-site) is designed for intermediate-level technical professionals who want to set up, optimize, and run GPU-enabled AI workloads within Docker containers.

By the end of this course, participants will be able to:

• Create and execute GPU-enabled containers for training and inference.
• Set up CUDA, drivers, and runtime libraries for containerized AI workflows.
• Optimize resource allocation and isolation for applications that require significant GPU resources.
• Deploy scalable, containerized deep learning services in production environments.

Format of the Course

• Interactive instruction complemented by real-world demonstrations.
• Practice-driven exercises focused on GPU-enabled development.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training that aligns with your infrastructure or GPU stack, please contact us to arrange.

Docker is a containerization platform used to create reproducible, portable, and scalable environments for machine learning systems.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced technical professionals who want to containerize and operationalize complete ML pipelines using Docker.

Upon completing this training, participants will be able to:

• Containerize machine learning training, validation, and inference workloads.
• Design and orchestrate end-to-end machine learning pipelines using Docker and complementary tools.
• Implement versioning, reproducibility, and CI/CD for machine learning components.
• Deploy, monitor, and scale machine learning services in containerized environments.

Format of the Course

• 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 tailored to specific ML infrastructure needs, please contact us to discuss options.

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

This instructor-led, live training (online or onsite) is designed for intermediate-level professionals who want to package ML codebases, dependencies, and models using Docker to ensure reliable development-to-production workflows.

After completing this course, participants will be able to:

• Construct and manage Docker images specifically tailored for AI and ML applications.
• Containerize machine learning pipelines, tools, and dependencies effectively.
• Optimize Docker environments for both performance and portability.
• Deploy containerized ML services across various runtime environments.

Format of the Course

• Concept demonstrations accompanied by guided discussions.
• Hands-on exercises centered on real-world containerization tasks.
• Practical implementation using live-lab Docker environments.

Course Customization Options

• To tailor this training to your organizational environment, please contact us to arrange.

This instructor-led, live training in Oslo (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.

Training objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

In this instructor-led, live training in Oslo (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.

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 today.

NobleProg has been providing Docker and 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 assisting our customers in validating their performance in k8s 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 confirm their knowledge by passing the CKA exam.

Additionally, the training focuses on gaining practical experience in Kubernetes Administration. We highly recommend participating in this course even if you do not plan to take the CKA exam.

Format of the Course

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.
• To learn more about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The goal of this hands-on course is to equip participants with all the tools needed to tackle the practical aspects of Docker and Kubernetes. This ensures they have the essential skills for effectively managing the program.

In this instructor-led, live training in Oslo, participants will learn how to manage Red Hat OpenShift Container Platform.

By the end of this training, participants will be able to:

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led, live training in Oslo, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

By the end of this training, participants will be able to:

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in public cloud or on a hosted cloud.

The Certified Kubernetes Application Developer (CKAD) program has been developed 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 aimed at Developers who wish to validate their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Additionally, the training focuses on gaining practical experience in Kubernetes application development. We recommend participating in it, 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 best-known training companies worldwide in the field of containerization. Since 2019, we have also been helping our customers confirm their performance in k8s environments by preparing them and encouraging them to pass CKA and CKAD exams.

Format of the Course

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.
• To learn more about CKAD, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Oslo 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 (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

By the end of this training, participants will be able to:

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This instructor-led, live training in Oslo (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 is a platform designed for developers and system administrators to manage distributed applications effectively. It includes a runtime environment for running containers and a service for sharing them.

With Docker, the same application can run without changes on laptops, dedicated servers, and virtual servers.

This course, over the first two days, covers the fundamental usage of Docker, which is beneficial for both developers and system administrators. The course includes numerous hands-on exercises, allowing participants to practice in their own Docker environment and build their own Docker images.

On the final day, participants will delve into more advanced tools that support Docker, such as Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in Oslo (online or onsite) is aimed at 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.
• Managing Docker based applications.
• Network different Docker applications and systems.
• Understand and edit Docker registries.

Docker is a platform designed to help developers and system administrators manage distributed applications. It features a runtime for executing containers and a service for sharing them.

Using Docker, the same application can run seamlessly on laptops, dedicated servers, and virtual servers without any modifications.

This course provides an introduction to the fundamental use of Docker, which is beneficial for both developers and system administrators. The course includes numerous hands-on exercises, allowing participants to practice in their own Docker environment and build their own Docker images over the two days.

This instructor-led, live training in Oslo (online or onsite) is aimed at DevOp engineers who wish to optimize and simplify the CI/CD process with Docker and Jenkins.

By the end of this training, participants will be able to:

• Automate code delivery and pipeline deployment with Jenkins.
• Build an application using Docker and Docker File.
• Configure authentication options to strengthen security.

Format of the Course

• The course includes interactive lectures and discussions.
• It features numerous exercises and practice sessions.
• Participants will engage in hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange the details.

In this instructor-led, live training in Oslo, 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.

In this instructor-led, live training in Oslo (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4.

By the end of this training, participants will be able to:

• Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Create, configure, manage, and troubleshoot an OpenShift cluster.
• Implement Openshift's self-manage capabilities to improve platform stability and consistency.
• Secure OpenShift Container Platform.
• Monitor and gather metrics.
• Manage storage.
• Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.

This instructor-led, live training in (online or onsite) is aimed at DevOps engineers who wish to use Selenium to execute Selenium tests inside of Docker containers.

By the end of this training, participants will be able to:

• Create test automation infrastructure for on-demand testing.
• Develop a test automation framework using Java.
• Build a CI/CD pipeline from scratch with Jenkins and Docker.