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

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

• Create custom Docker images.
• Deploy and manage a high volume of Docker applications.
• Assess various container orchestration solutions and select the most appropriate one.
• Establish a continuous integration workflow for Docker applications.
• Integrate Docker applications into existing continuous integration toolchains.
• Enhance the security of Docker applications.
• Utilize Kubernetes to deploy and manage diverse environments within a single cluster.
• Secure, scale, and monitor a Kubernetes cluster.

This instructor-led, live training in Italy (online or onsite) targets 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 Italy (online or onsite) is designed for Kubernetes practitioners seeking to prepare for the CKS exam.

Upon completion, participants will understand how to secure Kubernetes environments and container-based applications throughout the application lifecycle, covering the build, deployment, and runtime stages.

This seven-day program offers a thorough, practical exploration of designing, deploying, and managing cloud-native applications using contemporary DevOps methodologies.

Attendees will learn to design scalable microservice architectures, optimize container environments, and handle production workloads with Kubernetes. The curriculum includes advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and performance.

The program emphasizes real-world operational challenges, such as incident response, failure simulation, and root cause analysis. It concludes with the integration of AI-powered tools to enhance troubleshooting capabilities and streamline operational decision-making.

Upon completion, participants will possess a solid understanding of how to build, deploy, monitor, and maintain resilient distributed systems within a Kubernetes environment.

Discover the essentials of containers, Kubernetes, and OpenShift in a practical, hands-on training program tailored for developers, DevOps engineers, and IT professionals. Attendees will learn to build containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to accelerate modern application delivery across cloud and hybrid environments.

Acquire the skills to build, deploy, and administer containerized environments utilizing Docker, Kubernetes, and OpenShift. This five-day, hands-on training encompasses container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will gain the necessary competencies to operate modern container platforms and troubleshoot applications across both development and production environments.

In this instructor-led, live training in Italy (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 Italy (online or onsite) is designed for engineers looking to leverage Helm to simplify the installation and management of Kubernetes applications.

Upon completion 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 instructor-led, live training in Italy (online or onsite) is tailored 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.

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 Italy (online or onsite) is designed for intermediate developers and DevOps engineers aiming to utilize Minikube within 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.