Docker and Kubernetes Training Course

By the end of 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 most appropriate solution.
• Establishing a continuous integration pipeline for Docker applications.
• Integrating Docker applications into existing CI/CD toolchains.
• Implementing security best practices 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 Turkey (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 serves as a leading container orchestration platform, extensively utilized for managing distributed applications at scale.

This instructor-led, live training (available online or onsite) is designed for advanced practitioners looking to leverage AI and machine learning techniques to optimize Kubernetes resource utilization, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be capable of:

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

Course Format

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

Course Customization Options

• To tailor this course to your specific platform setup 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 in production environments.

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

Upon 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

• Blended lecture, architectural analysis, and guided discussion.
• Extensive practical exercises with 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 Turkey (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 now become a leading platform for container orchestration.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 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 the CKA and CKAD exams.

This instructor-led, live training (available online or onsite) is aimed at System Administrators and Kubernetes users who wish to confirm their knowledge by passing the CKA exam.

On the other hand, the training is also focused on gaining practical experience in Kubernetes Administration, so we recommend participating in it even if you do not intend to take the CKA exam.

Format of the Course

• Interactive lecture and discussion.
• Abundant 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

The Certified Kubernetes Application Developer (CKAD) program is developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes.

On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.

NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.

Format of the Course

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

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

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

This intensive 7-day programme offers a comprehensive, hands-on exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

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

Emphasis is placed on addressing real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme culminates with the integration of AI-powered tools to enhance troubleshooting capabilities and expedite operational decision-making.

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

DO180 serves as an entry point into the world of containers, Kubernetes core principles, and Red Hat OpenShift platform concepts, with a strong emphasis on practical, hands-on skills.

This instructor-led training, available both online and onsite, is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and manage applications on OpenShift.

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

• Constructing and managing container images and registries while adhering to best practices for reproducibility and security.
• 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 streamline application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying fundamental security, RBAC, and monitoring practices to ensure the health of clusters and applications.

Format of the Course

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

Course Customization Options

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

This instructor-led live training, offered online or onsite, is targeted at engineers who wish to evaluate each of these services to make informed decisions about which to deploy within their organization.

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

• Configure a development environment containing all necessary libraries, packages, and frameworks to start developing.
• Set up, configure, and deploy demo containers using various approaches.
• Understand the architectural and design differences among 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 Turkey, 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 Turkey (online or onsite) is designed for engineers looking to streamline the installation and management of Kubernetes applications using Helm.

Upon completing this training, participants will be equipped to:

• Install and configure Helm.
• Build reproducible Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage Helm package releases.

This instructor-led live training in Turkey (online or on-site) is designed 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.

Upon completing this training, participants will be able to:

• Install and configure Minikube on their local machines.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Establish persistent storage and networking solutions for Kubernetes.
• Use Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Turkey (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into their development workflows.

Upon completing this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment (CI/CD) pipelines.
• Enhance their development process by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.