Kubeflow Essentials: Build, Train & Serve with Kubernetes Training Course

This instructor-led, live training in Slovakia (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want to master application scaling using microservices and Kubernetes.

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

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

This live, instructor-led training session in Slovakia, available online or onsite, is designed for Kubernetes practitioners seeking to prepare for the CKS examination.

Upon completion, participants will be equipped to secure Kubernetes environments and container-based applications throughout the different phases of the application life cycle, specifically during build, deployment, and runtime.

This intensive 7-day programme offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservices environments, optimize container ecosystems, and manage production-grade workloads using Kubernetes. The curriculum encompasses advanced deployment tactics, GitOps-driven automation, and robust observability frameworks designed to guarantee system reliability and peak performance.

A significant emphasis is placed on addressing real-world operational complexities, such as incident management, failure simulation drills, and root cause analysis. The programme finishes by integrating AI-powered tools to enhance troubleshooting capabilities and streamline operational decision-making processes.

Upon completion of the training, participants will possess a thorough understanding of how to build, deploy, monitor, and sustain resilient distributed systems within a Kubernetes infrastructure.

Master the fundamentals of containers, Kubernetes, and OpenShift through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. Participants will learn to build containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to streamline modern application delivery within cloud and hybrid environments.

Learn to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants acquire the skills necessary to operate modern container platforms and troubleshoot applications across development and production environments.

In this instructor-led, live training in Slovakia (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: Gain theoretical and practical skills in Docker and Kubernetes.

This instructor-led, live training in Slovakia (online or onsite) is designed for engineers who want to use Helm to simplify the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Develop reproducible builds for Kubernetes applications.
• Distribute applications as Helm charts.
• Deploy third-party applications stored as Helm charts.
• Manage Helm package releases.

This instructor-led, live training held in Slovakia (either online or on-site) is designed for developers and data scientists aiming 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 both on-premise and cloud environments.
• Construct, deploy, and manage ML workflows built on Docker containers and Kubernetes.
• Operate full machine learning pipelines across diverse architectures and cloud platforms.
• Utilize Kubeflow to launch and control Jupyter notebooks.
• Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals who wish 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 fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for developing, testing, and debugging applications.

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

By the conclusion 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.