Kubernetes from Basic to Advanced (4 days) Training Course

This instructor-led, live training in Argentina (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 online or onsite, is designed for advanced practitioners aiming to leverage AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be able to:

• Apply AI/ML models to enhance workload scheduling decisions in Kubernetes.
• Utilize predictive analytics to optimize CPU, GPU, and memory allocation.
• Implement intelligent autoscaling using reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency through automated resource optimization.

Course Format

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

Customization Options

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

The Certified Kubernetes Administrator (CKA) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Today, Kubernetes stands as a leading platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also assisted our clients in validating their skills in Kubernetes environments by preparing them to pass the CKA and CKAD exams.

This instructor-led, live training (available online or on-site) 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.
• 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 make arrangements.
• For more information 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 on-site, is designed for developers who wish to validate their ability to design, build, configure, and expose cloud-native applications on Kubernetes.

Additionally, the course emphasizes gaining practical experience in Kubernetes application development. We recommend participating even if you do not plan to sit for the CKAD exam.

NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the leading training providers globally in the field of containerization. Since 2019, we have also assisted 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.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

This instructor-led, live training in Argentina (online or on-site) is tailored for Kubernetes professionals seeking 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 seven-day programme offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will delve into designing scalable microservices architectures, optimizing container environments, and managing production workloads with Kubernetes. The curriculum addresses advanced deployment strategies, GitOps-driven automation, and observability practices to guarantee system reliability and performance.

Great emphasis is placed on addressing real-world operational challenges, such as incident response, failure simulation, and root cause analysis. The programme wraps up by leveraging AI-powered tools to facilitate troubleshooting and expedite operational decision-making.

Upon completion, participants will possess a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes-based environment.

DO180 serves as a foundational course covering containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, with a strong emphasis on practical, hands-on competencies.

This instructor-led, live training session (available online or onsite) is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, Kubernetes primitives, and the deployment and operation of applications within the OpenShift environment.

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

• Construct and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and oversee Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leverage OpenShift capabilities, including routes, BuildConfigs, and the web console, to accelerate application delivery.
• Establish persistent storage solutions, configuration management, and secret handling mechanisms for stateful workloads.
• Apply fundamental security measures, RBAC policies, and monitoring practices to ensure cluster and application health.

Course Format

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

Customization Options

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

In this instructor-led live training in Argentina, participants will learn how to manage the 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-premises, in the public cloud, or on a hosted cloud.
• Secure the OpenShift Container Platform.
• Monitor and collect metrics.
• Manage storage.

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

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

Edge AI focuses on executing machine learning inference near data sources to enable low-latency, efficient, and scalable processing.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced practitioners looking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be able to:

• Establish lightweight Kubernetes distributions tailored for edge deployments.
• Effectively deploy AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and implement synchronization patterns.
• Optimize performance, storage, and networking for real-world edge scenarios.

Format of the Course

• Guided presentations supported by real-world examples.
• Scenario-based labs and practical edge deployment exercises.
• Hands-on experience with Kubernetes edge frameworks.

Course Customization Options

• To request customized training tailored to your specific edge platform requirements, please contact us to arrange a session.

This instructor-led, live training in Argentina (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.
• Build reproducible Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications provided as Helm charts.
• Manage Helm package releases.

This instructor-led, live training in Argentina (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals seeking 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 machine.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Configure persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for application development, testing, and debugging.

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

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.