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

Upon completion, participants will have the skills to:

• Construct custom Docker images.
• Deploy and oversee high volumes of Docker applications.
• Assess various container orchestration tools and select the optimal solution.
• Establish continuous integration workflows for Docker-based applications.
• Connect Docker applications to existing continuous integration pipelines.
• Implement robust security measures for Docker applications.
• Leverage Kubernetes to manage multiple environments within a single cluster.
• Secure, scale, and monitor Kubernetes clusters effectively.

This live, instructor-led course offered in Denmark (either online or on-site) is designed for advanced platform engineers and DevOps practitioners seeking to excel in application scaling via microservices and Kubernetes.

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

• Architecting and constructing scalable microservice systems.
• Managing and operating applications on Kubernetes clusters.
• Employing Helm charts to facilitate streamlined service rollouts.
• Maintaining and monitoring the operational stability of microservices in production.
• Enforcing security and compliance standards within a Kubernetes environment.

This instructor-led, live training programme, delivered in Denmark (online or on-site), is designed for Kubernetes practitioners seeking to prepare for the CKS exam.

By the end of this training, 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.

Over the course of seven days, this intensive programme offers a practical, immersive experience in the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Learners will delve into constructing highly scalable microservice architectures, refining container environments, and orchestrating production workloads within Kubernetes. The curriculum addresses sophisticated deployment strategies, GitOps-driven automation, and observability standards essential for maintaining system reliability and peak performance.

Particular emphasis is placed on tackling real-world operational hurdles, such as incident management, failure simulation, and detailed root cause analysis. The programme culminates with the application of AI-driven tools to streamline troubleshooting and expedite operational decision-making.

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

Master the essentials of containers, Kubernetes, and OpenShift through a practical, hands-on training program tailored for developers, DevOps engineers, and IT professionals. Attendees will discover methods to create containerized applications, deploy workloads, manage Kubernetes resources, and utilize OpenShift to optimize modern application delivery across cloud and hybrid landscapes.

Discover how to build, deploy, and manage 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 acquire the skills necessary to operate modern container platforms and troubleshoot applications across development and production settings.

In this instructor-led, live training delivered Denmark (either onsite or remotely), participants will learn how to create and manage Docker containers, followed by deploying a sample application within a container. They will also discover how to automate, scale, and manage containerized applications within a Kubernetes cluster. The training concludes with advanced topics, guiding participants through the essential processes of securing, scaling, and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Establish and run Docker containers.
• Deploy containerized server and web applications.
• Build and manage Docker images.
• Set up Docker and Kubernetes clusters.
• Use Kubernetes to deploy and manage clustered web applications.
• Secure, scale, and monitor Kubernetes clusters.

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

This instructor-led live training, delivered in Denmark (either online or on-site), is crafted for engineers seeking to utilize Helm to optimize the installation and administration of Kubernetes applications.

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

• Set up and configure Helm.
• Build reproducible versions of Kubernetes applications.
• Distribute applications through Helm charts.
• Execute third-party applications available as Helm charts.
• Handle the release cycle of Helm packages.

This instructor-led, live training in Denmark (delivered online or onsite) is designed for beginner to intermediate-level software developers and DevOps professionals seeking to learn how to configure and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machines.
• Comprehend the core concepts and architecture of Kubernetes.
• Manage container deployment using kubectl and the Minikube dashboard.
• Establish persistent storage and networking configurations for Kubernetes.
• Apply Minikube to application development, testing, and debugging workflows.

This live, instructor-led training in Denmark (online or onsite) targets intermediate developers and DevOps engineers seeking to adopt Minikube in their development routines.

Upon completion, attendees will be equipped to:

• Establish and oversee a local Kubernetes environment through Minikube.
• Master the processes for deploying, overseeing, and troubleshooting applications within Minikube.
• Embed Minikube into existing continuous integration and deployment pipelines.
• Streamline development cycles by leveraging Minikube’s advanced capabilities.
• Implement industry-standard best practices for local Kubernetes development.