Kubernetes Design Patterns Training Course

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

• Create custom Docker images.
• Deploy and manage a high volume of Docker applications.
• Assess various container orchestration solutions and select the most appropriate one.
• Establish a continuous integration workflow for Docker applications.
• Integrate Docker applications into existing continuous integration toolchains.
• Enhance the security of Docker applications.
• Utilize Kubernetes to deploy and manage diverse environments within a single cluster.
• Secure, scale, and monitor a Kubernetes cluster.

This instructor-led, live training in Italy (online or onsite) targets advanced-level platform engineers and DevOps professionals who wish to master application scaling 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 serves as a widely adopted container orchestration platform, enabling the management of distributed applications at scale.

This live training program, delivered by an instructor either online or onsite, is designed for advanced practitioners looking to leverage artificial intelligence and machine learning to optimize Kubernetes resource allocation, scheduling decisions, and autoscaling strategies.

Upon completing this course, participants will be able to:

• Utilize AI/ML models to enhance workload scheduling within Kubernetes.
• Employ predictive analytics to refine CPU, GPU, and memory allocation.
• Deploy intelligent autoscaling mechanisms using reinforcement learning and metric forecasting.
• Lower infrastructure costs and latency through automated resource optimization.

Course Format

• Instructor-led technical presentations alongside in-depth discussions.
• Practical lab exercises conducted on live Kubernetes clusters.
• Hands-on application of AI models to real-world operational scenarios.

Customization Options

• To adapt this course to your specific platform architecture or operational needs, please reach out to us for customization details.

Kubernetes serves as a scalable platform for deploying, serving, and managing machine learning models within production environments.

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

After completing this training, participants will acquire the skills to:

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

Course Format

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

Customization Options

• For courses tailored to your specific environment or toolchain, please contact us to discuss customization options.

This instructor-led, live training in Italy (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters.

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

• Install and configure Calico.
• Understand how Calico differs from traditional overlay networks.
• Understand how Calico combines internet routing protocols with consensus-based data stores.
• Use Calico to create a container networking solution for Kubernetes clusters.
• Use Calico to provide network policy 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.

Since 2015, NobleProg has been providing Docker and Kubernetes training. 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 supporting our customers in validating their skills in k8s environments by preparing them and encouraging them to take 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.

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

Course Format

• Interactive lectures and discussions.
• Abundant 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.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) certification 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 in-person) is designed for developers looking to validate their ability to design, build, configure, and expose cloud-native applications on Kubernetes.

Additionally, 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 and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most renowned training providers globally in the field of containerization. Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Extensive 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.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live training in Italy (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the CKS exam.

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

This intensive 7-day programme offers a thorough, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Attendees will delve into crafting scalable microservices architectures, optimizing containerized environments, and managing production workloads via Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and optimal performance.

The programme places significant emphasis on tackling real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. It concludes with the integration of AI-driven tools to streamline troubleshooting and expedite operational decisions.

Upon completion, participants will possess a solid understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.

DO180 provides an entry-level exploration of containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on experience.

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

Upon completing this training, participants will be capable of:

• Building and managing container images and registries while adhering to best practices for security and reproducibility.
• Deploying and managing Kubernetes objects, including pods, deployments, and services, within the OpenShift environment.
• Leveraging OpenShift features such as routes, buildconfigs, and the web console to accelerate application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying fundamental security measures, RBAC, and monitoring practices to ensure the health of clusters and applications.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Customization Options

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

This instructor-led, live training (online or on-site) is tailored for engineers who wish to evaluate each service to make informed decisions about deployment within their organization.

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

• Set up a development environment that includes all necessary libraries, packages, and frameworks required to start developing.
• Set up, configure, and deploy a series of demo containers using various approaches.
• Understand the architectural and design differences among different Docker and 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.

In this instructor-led, live training in Italy, 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 Italy (online or onsite) is designed for engineers looking to leverage Helm to simplify the installation and management of Kubernetes applications.

Upon completion 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 instructor-led, live training in Italy (online or onsite) is tailored for software developers and DevOps professionals at beginner to intermediate levels who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Italy (online or onsite) is designed for intermediate developers and DevOps engineers aiming to utilize Minikube within 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.