Kubeflow Essentials: Build, Train & Serve with Kubernetes 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.

This live training, conducted by an instructor in Uzbekistan (either online or onsite), targets Kubernetes practitioners aiming to prepare for the CKS exam.

By the conclusion of this training, participants will be equipped to secure Kubernetes environments and container-based applications throughout the entire application life cycle, covering build, deployment, and runtime stages.

This intensive 7-day program delivers a practical, immersive experience in designing, deploying, and managing cloud-native applications through modern DevOps methodologies.

Attendees will learn to architect scalable microservices, optimize containerized environments, and manage production workloads with Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system stability and high performance.

A significant portion of the training focuses on tackling real-world operational hurdles, such as incident handling, failure simulation, and root cause analysis. The course wraps up by introducing AI-powered tools designed to streamline troubleshooting and speed up operational decision-making.

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

Master the basics of containers, Kubernetes, and OpenShift through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. You will learn how to create containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to streamline application delivery in cloud and hybrid environments.

Discover how to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, interactive training spans container images, Kubernetes workloads, cluster networking, storage solutions, security measures, monitoring techniques, and practical OpenShift administration. Participants will acquire the necessary skills to operate modern container platforms and troubleshoot applications across both development and production settings.

Through this instructor-led live training in Uzbekistan (onsite or remote), participants will acquire the skills to create and manage Docker containers, as well as deploy a sample application within one. The curriculum also covers automating, scaling, and managing containerized applications inside a Kubernetes cluster. Furthermore, the training progresses to advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

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

• Set up and operate a Docker container.
• Deploy a containerized server and web application.
• Construct and oversee Docker images.
• Establish a Docker and Kubernetes cluster.
• Utilize Kubernetes to deploy and manage a clustered web application.
• Secure, scale, and monitor a Kubernetes cluster.

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 live, instructor-led training in Uzbekistan, offered online or onsite, is designed for developers and data scientists looking to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of the session, participants will be equipped to:

• Install and configure Kubeflow in on-premise and cloud environments.
• Construct, deploy, and oversee ML workflows based on Docker containers and Kubernetes.
• Execute full machine learning pipelines across diverse architectures and cloud environments.
• Use Kubeflow to launch and control Jupyter notebooks.
• Develop ML training, hyperparameter tuning, and serving workloads across multiple platforms.

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.