Introduction to Kubefirst Training Course

Upon completing this training, participants will be capable of:

• Creating custom Docker images.
• Deploying and managing a high volume of Docker applications.
• Evaluating various container orchestration platforms and selecting the optimal solution.
• Establishing a continuous integration pipeline for Docker-based applications.
• Integrating Docker applications into existing continuous integration workflows.
• Implementing security measures for Docker applications.
• Utilizing Kubernetes to deploy and manage diverse environments within a single cluster.
• Securing, scaling, and monitoring a Kubernetes cluster.

This instructor-led, live training in Romania (available online or onsite) is designed for advanced platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

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

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

Kubernetes serves as a widely adopted container orchestration platform for managing large-scale distributed applications.

This instructor-led, live training (available online or onsite) targets advanced practitioners seeking to leverage AI and machine learning techniques to enhance Kubernetes resource usage, refine scheduling decisions, and improve autoscaling strategies.

Upon completing this program, participants will be equipped to:

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

Course Format

• Instructor-led technical presentations accompanied by in-depth discussions.
• Practical lab sessions using real-world Kubernetes clusters.
• Hands-on exercises applying AI models to actual operational scenarios.

Customization Options

• To customize this course for your specific platform setup or operational needs, please contact us.

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) is designed for intermediate-level professionals aiming to reliably operationalize ML models on Kubernetes.

Upon completing this training, participants will acquire the following skills:

• 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

• Blended lecture, architectural analysis, and guided discussion.
• Extensive practical exercises featuring real-world deployment scenarios.
• Hands-on implementation using a live Kubernetes environment.

Course Customization Options

• If you need this course tailored to your specific environment or toolchain, please contact us to discuss customization options.

This instructor-led, live training in Romania (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) certification was established by The Linux Foundation in collaboration with the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as the premier platform for container orchestration.

Since 2015, NobleProg has specialized in Docker and Kubernetes training. With over 360 successfully delivered training projects, we have become one of the world’s most recognized training providers in the field of containerization.

Since 2019, we have further supported our customers by preparing them to validate their performance in Kubernetes environments through 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. Therefore, we recommend participating even if you do not plan to take the CKA exam.

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 it.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

This instructor-led live training (available online or onsite) targets developers who wish 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, so we encourage participation even if you do not plan to take the CKAD exam.

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

Format of the Course

• Interactive lecture and discussion.
• 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 CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live training in Romania (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 program offers a comprehensive, practical exploration into the design, deployment, and operation of cloud-native applications using contemporary DevOps methodologies.

Attendees will delve into the creation of scalable microservices architectures, the optimization of containerized environments, and the management of production workloads via Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and optimal performance.

Significant emphasis is placed on addressing real-world operational challenges, including incident response protocols, failure simulation exercises, and root cause analysis. The program concludes by integrating AI-powered tools to facilitate troubleshooting and expedite operational decision-making processes.

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

DO180 provides a foundational overview of containers, Kubernetes core principles, and Red Hat OpenShift platform concepts, emphasizing practical, hands-on experience.

This live, instructor-led training (available online or on-site) is designed for technical professionals at beginner to intermediate levels who want 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:

• Creating and managing container images and registries while adhering to best practices for security and reproducibility.
• Deploying and managing Kubernetes resources, including pods, deployments, and services, within OpenShift.
• Leveraging OpenShift features such as routes, buildConfigs, and the web console to accelerate application delivery.
• Setting up persistent storage, configuration management, and secret handling for stateful workloads.
• Applying fundamental security measures, RBAC, and monitoring strategies to ensure cluster and application health.

Course Format

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

Customization Options

• For tailored training requests, please contact us to make arrangements.

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.

In this instructor-led, live training in Romania, participants will acquire the skills necessary to manage the Red Hat OpenShift Container Platform.

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

• Creating, configuring, managing, and troubleshooting OpenShift clusters.
• Deploying containerized applications on-premise, in public cloud environments, or on hosted cloud services.
• Implementing security measures for OpenShift Container Platform
• Monitoring and collecting metrics.
• Managing storage solutions.

This instructor-led, live training in Romania (online or onsite) is designed for engineers looking to leverage Helm to streamline 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 Romania (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals 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 Romania (online or onsite) is designed for intermediate-level developers and DevOps engineers looking to incorporate Minikube into their development workflows.

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

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