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

This instructor-led, live training in South Korea (available online or onsite) is tailored for advanced-level platform engineers and DevOps professionals who wish 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.
• 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.

This live, instructor-led training in South Korea, offered online or onsite, is designed for Kubernetes practitioners aiming to prepare for the CKS exam.

By the end of the course, participants will understand how to secure Kubernetes environments and container-based applications throughout the application life cycle, covering build, deployment, and runtime stages.

This intensive 7-day program offers a thorough, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Learners will discover how to architect scalable microservices infrastructures, refine container environments, and handle production workloads effectively with Kubernetes. The curriculum encompasses sophisticated deployment techniques, GitOps-driven automation, and observability frameworks aimed at guaranteeing system resilience and optimal performance.

A significant emphasis is placed on addressing real-world operational hurdles, such as incident management, failure simulation exercises, and root cause analysis. The program wraps up by demonstrating how AI-enabled tools can enhance troubleshooting capabilities and expedite operational decisions.

Upon completion, participants will possess a solid grasp of constructing, deploying, monitoring, and sustaining robust distributed systems within a Kubernetes ecosystem.

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

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

In this instructor-led live training in South Korea (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.

Course Objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

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

Upon completing this training, participants will be able to:

• Install and configure Helm.
• Generate reproducible builds for Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This live, instructor-led training in South Korea, offered either online or on-site, is designed for developers and data scientists seeking to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this program, participants will be equipped to:

• Install and configure Kubeflow in on-premise and cloud environments.
• Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
• Run complete machine learning pipelines across diverse architectures and cloud setups.
• Use Kubeflow to spawn and manage Jupyter notebooks.
• Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led, live training in South Korea (online or onsite) is designed for software developers and DevOps professionals at beginner to intermediate levels who wish 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 machines.
• 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.
• Use Minikube to develop, test, and debug applications.

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