Docker and Kubernetes advanced Training Course

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

• Creating custom Docker images.
• Deploying and managing a large number of Docker applications.
• Evaluating various container orchestration solutions to select the most appropriate one.
• Establishing a continuous integration process for Docker applications.
• Integrating Docker applications with existing continuous integration toolchains.
• 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 Uzbekistan (available online or onsite) is designed for advanced-level platform engineers and DevOps professionals who aim 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.
• Utilise Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production environments.
• Apply best practices for security and compliance within a Kubernetes environment.

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

This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to apply AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

At the completion of this program, participants will be able to:

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

Format of the Course

• 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.

Course Customization Options

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

Kubernetes serves as a highly scalable platform for deploying, serving, and managing 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.

By the end of this training, participants will acquire the following skills:

• Containerizing and preparing ML models for efficient deployment.
• Serving models using contemporary inference frameworks.
• Optimizing workloads through autoscaling, GPU configuration, and resource tuning.
• Implementing model rollout strategies, including A/B testing and canary deployments.

Course Format

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

Customization Options

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

This instructor-led, live training in Uzbekistan (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.
• Comprehend 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 in collaboration with the Cloud Native Computing Foundation (CNCF).

Kubernetes has become the leading platform for container orchestration.

NobleProg has been providing 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 been assisting our customers in validating their performance in Kubernetes environments by preparing them to take and 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. Therefore, we recommend participating even if you do not intend 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

The Certified Kubernetes Application Developer (CKAD) program has been 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, the training also focuses on gaining practical experience in Kubernetes application development, so we recommend participating even if you do not intend to take the CKAD exam.

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 validate their performance in k8s environments by preparing them and encouraging them to pass CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized version of 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 Uzbekistan (available online or on-site) is designed for Kubernetes practitioners aiming to prepare for the CKS exam.

By the end of this training, participants will be able to secure Kubernetes environments and container-based applications across all 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 through contemporary DevOps methodologies.

Participants will learn to architect scalable microservices solutions, optimize containerized environments, and manage production-grade workloads using Kubernetes. The curriculum includes advanced deployment techniques, GitOps-driven automation, and robust observability frameworks to guarantee system stability and high performance.

Emphasis is placed on addressing real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. The program wraps up by leveraging AI-enabled tools to enhance troubleshooting capabilities and expedite operational decision-making processes.

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

DO180 offers a foundational guide to containers, the core principles of Kubernetes, and the concepts behind the Red Hat OpenShift platform, emphasizing practical, hands-on experience.

This instructor-led, live training session (available online or on-site) is designed for technical professionals at the beginner to intermediate level 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 equipped to:

• Construct and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and administer Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leverage OpenShift features like routes, buildconfigs, and the web console to accelerate application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply 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

• For customized training arrangements for this course, please reach out to us.

This instructor-led live training (available online or in-person) is designed for engineers who want to assess each service to make an informed decision about which to deploy within their organization.

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

• Set up a development environment with all necessary libraries, packages, and frameworks to start developing.
• Set up, configure, and deploy a series of demo containers using different approaches.
• Understand the architectural and design differences among various 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 Uzbekistan, 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 Uzbekistan (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 Uzbekistan (online or on-site) is tailored for software developers and DevOps practitioners at beginner to intermediate levels who aim to master the setup and management of a local Kubernetes environment via Minikube.

Upon completing this training, participants will be equipped to:

• Install and configure Minikube on their local workstations.
• Grasp the fundamental concepts and architectural structure of Kubernetes.
• Deploy and oversee containers utilizing kubectl and the Minikube dashboard.
• Implement persistent storage and networking configurations for Kubernetes.
• Leverage Minikube for application development, testing, and debugging.

This instructor-led live training in Uzbekistan (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to utilize Minikube as 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.