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

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

• Create custom Docker images.
• Deploy and manage a large volume of Docker applications.
• Evaluate various container orchestration solutions and select the most appropriate one.
• Establish a continuous integration process for Docker applications.
• Integrate Docker applications with existing CI tooling workflows.
• Implement security measures for Docker applications.
• Utilize Kubernetes to deploy and manage multiple environments within a single cluster.
• Secure, scale, and monitor a Kubernetes cluster.

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

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

• Designing and implementing scalable microservices architectures.
• Deploying and managing applications on Kubernetes clusters.
• Utilizing Helm charts for efficient service deployment.
• Monitoring and maintaining the health of microservices in production.
• Applying best practices for security and compliance within a Kubernetes environment.

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

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

This intensive 7-day program offers a deep, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

Attendees will learn to architect scalable microservice ecosystems, refine container performance, and oversee production-grade workloads within Kubernetes. The curriculum addresses sophisticated deployment tactics, GitOps-driven automation, and observability frameworks to guarantee robust system reliability and efficiency.

A significant emphasis is placed on tackling real-world operational hurdles, such as incident handling, failure simulation, and root cause identification. The program culminates with the integration of AI-driven tools to enhance troubleshooting capabilities and expedite operational decision-making.

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

Gain a solid grasp of containers, Kubernetes, and OpenShift through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. Participants will learn to construct containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to streamline modern application delivery in cloud and hybrid environments.

Learn how 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 Bulgaria (onsite or remote), participants will learn to create and manage Docker containers and deploy a sample application within one. Attendees will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training progresses to more advanced topics, guiding 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.

This instructor-led, live training in Bulgaria (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 Bulgaria, offered 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 session, participants will gain the capability to:

• Install and configure Kubeflow in on-premises and cloud settings.
• Develop, deploy, and control ML workflows leveraging Docker containers and Kubernetes.
• Operate full machine learning pipelines across diverse architectures and cloud environments.
• Utilize Kubeflow to create and manage Jupyter notebooks.
• Establish ML training, hyperparameter tuning, and serving workloads across various platforms.

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

This instructor-led, live training in Bulgaria (online or on-site) is designed for intermediate-level developers and DevOps engineers who intend 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.