Docker, Kubernetes and OpenShift 3 for Developers Training Course

This instructor-led, live training in Sweden (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

Kubernetes is a widely adopted container orchestration platform designed for managing distributed applications at scale.

This instructor-led live training, available either online or onsite, targets advanced practitioners seeking to leverage AI and machine learning techniques to optimize Kubernetes resource allocation, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be capable of:

• Applying AI/ML models to enhance workload scheduling decisions within Kubernetes.
• Utilizing predictive analytics to optimize CPU, GPU, and memory allocation.
• Implementing intelligent autoscaling solutions using reinforcement learning and metric forecasting.
• Lowering infrastructure costs and latency through automated resource optimization.

Course Format

• Instructor-guided technical presentations alongside deep-dive discussions.
• Practical lab work conducted on real Kubernetes clusters.
• Hands-on exercises applying AI models to real-world operational scenarios.

Customization Options

• To tailor this course to your specific platform setup or operational needs, please contact us to discuss customization.

Kubernetes serves as a robust, scalable platform for the deployment, serving, and management of machine learning models within production environments.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals seeking to reliably operationalize ML models on Kubernetes.

Upon completing this training, participants will acquire the ability to:

• Containerize and ready ML models for efficient deployment.
• Serve models utilizing modern inference frameworks.
• Optimize workloads through autoscaling, GPU configuration, and resource tuning.
• Implement model rollout strategies, including A/B testing and canary deployments.

Course Format

• A blend of lectures, architectural analysis, and guided discussion.
• Comprehensive practical exercises centered on real-world deployment scenarios.
• Hands-on implementation within a live Kubernetes environment.

Customization Options

• For course content tailored to your specific environment or toolchain, please contact us to explore customization possibilities.

This instructor-led, live training in Sweden (online or onsite) is targeted at engineers aiming to optimize networking for Kubernetes clusters.

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

• Install and configure Calico.
• Understand the distinctions between Calico and traditional overlay networks.
• Comprehend how Calico integrates internet routing protocols with consensus-based data stores.
• Utilize Calico to develop a container networking solution for Kubernetes clusters.
• Apply Calico to establish network policies for Kubernetes.

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

DO180 provides an introduction to container technology, the fundamentals of Kubernetes, and key concepts of the Red Hat OpenShift platform, with a strong emphasis on practical, hands-on skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level technical professionals who want to learn container workflows, Kubernetes primitives, and how to deploy and manage applications on OpenShift.

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

• Build and manage container images and registries, following best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within OpenShift.
• Utilize OpenShift features including routes, BuildConfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

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

In this instructor-led live training in Sweden, 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.

This instructor-led, live training in Sweden (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This guided, live training in Sweden (online or onsite) is tailored for software developers and DevOps practitioners at beginner to intermediate levels who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local workstation.
• Grasp the fundamental concepts and architectural structure of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Configure persistent storage and networking solutions for Kubernetes.
• Leverage Minikube to develop, test, and debug applications effectively.

This instructor-led, live training in Sweden (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of their development workflow.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

During this instructor-led, live training in Sweden (onsite or remotely), participants will learn how to install, configure, and manage OKD in on-premise or cloud environments.

Upon completion of this training, participants will be capable of:

• Creating, configuring, managing, and troubleshooting OKD clusters.
• Implementing security measures for OKD.
• Deploying containerized applications within OKD.
• Monitoring application performance within the OKD environment.
• Managing data storage solutions.
• Rapidly deploying applications either on-premise or on public clouds such as AWS.

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform developed by Red Hat, designed to automate the deployment, scaling, and management of containerised applications.

This instructor-led, live training (available online or onsite) is aimed at system administrators and DevOps engineers who wish to deploy, manage, and operate OpenShift clusters in production environments.

The course provides a hands-on approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and operating applications at scale.

In this instructor-led, live training in Sweden (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

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.)
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

This instructor-led, live training in Sweden (available online or onsite) is designed for intermediate-level infrastructure professionals who wish to utilize Red Hat OpenShift to deploy, manage, and troubleshoot production containerized workloads.

By the end of this training, participants will be capable of managing OpenShift clusters via the CLI and web console, deploying applications with container images and Kubernetes manifests, troubleshooting networking and storage issues, and configuring workloads for high availability and updates.