AI Workloads on Kubernetes: Deploying Machine Learning Models at Scale Training Course

By the end of this training, participants will be capable of:

• Creating custom Docker images.
• Deploying and managing a high volume of Docker applications.
• Evaluating various container orchestration platforms and selecting the most appropriate solution.
• Establishing a continuous integration pipeline for Docker applications.
• Integrating Docker applications into existing CI/CD toolchains.
• Implementing security best practices 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 Turkey (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications 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 instructor-led, live training in Turkey (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 protect Kubernetes environments and container-based applications throughout all phases of the application life cycle: build, deployment, and runtime.

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

Participants will delve into the creation of scalable microservice architectures, optimise containerised environments, and manage production workloads via Kubernetes. The curriculum encompasses advanced deployment strategies, GitOps-driven automation, and robust observability techniques to guarantee system reliability and optimal performance.

A significant emphasis is placed on addressing real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The programme culminates in leveraging AI-powered tools to enhance troubleshooting capabilities and expedite operational decision-making processes.

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

Learn the fundamentals of containers, Kubernetes and OpenShift in a practical, hands-on training designed for developers, DevOps engineers and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources and use 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 will gain the skills necessary to operate modern container platforms and troubleshoot applications across development and production environments.

In this instructor-led live training in Turkey (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: Acquire theoretical and practical skills in Docker and Kubernetes.

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

Upon completing this training, participants will be equipped to:

• Install and configure Helm.
• Build reproducible Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage Helm package releases.

This instructor-led live training in Turkey (online or on-site) is designed for software developers and DevOps professionals at beginner to intermediate levels who want to learn how to set up and manage a local Kubernetes environment using Minikube.

Upon completing 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.
• Establish persistent storage and networking solutions for Kubernetes.
• Use Minikube for developing, testing, and debugging applications.

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

Upon completing this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment (CI/CD) pipelines.
• Enhance their development process by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.