Hands-on Kubernetes as a User
Apr 29 • 09:00 – 15:00 CEST
About the workshop:
Kubernetes is the backbone of modern infrastructure, being used for deployment of all sorts of applications. Nowadays, knowing how to use it is an important skillset for those interested in artificial intelligence, data science, and MLOps.
In this highly practical workshop, you will learn how to use Kubernetes from a user perspective. The course combines short theoretical introductions with guided hands-on exercises where you will configure a local cluster in your computer, deploy services, and run real workloads. By the end of the workshop, you will have a working environment on your own machine and practical experience deploying interactive tools, monitoring solutions, and AI workloads.
Who is this for?
This workshop is intended for:
- AI/MLOps engineers, Researchers, data scientists working with AI, machine learning, data science, or scientific computing
- Users of HPC or cloud environments who want to understand Kubernetes-based platforms and deploy their own stack without waiting for an infrastructure team.
- Anyone interested in MLOps, reproducible workflows, and scalable application deployment
- Beginners to Kubernetes who want a practical, user-level introduction
No prior Kubernetes experience is required.
Key takeaways for participants:
- Understand what Kubernetes is, its architecture, core components, and different deployment flavors, including how it is used in multi-tenant environments (e.g., LUMI-K)
- Learn important Kubernetes concepts such as namespaces, pods, deployments, jobs, storage, and scaling
- Understand the Kubernetes networking model, including services, ingress, and load balancing
- Be able to read, write, and modify YAML manifests to deploy and manage applications
- Deploy and use JupyterLab for interactive computing inside a Kubernetes cluster
- Set up Prometheus and Grafana to monitor cluster resources and workloads
- Deploy a simple AI model and quickly track experiments using MLflow
- Gain practical experience working with a local Kubernetes cluster on your own machine
Prerequisites:
- Participants should:
- Have a laptop with Windows (WSL), macOS, or Linux
- Have administrative privileges on the system
- Install the required tools before the workshop (instructions will be provided)
Notes:
This is a 5-hour hands-on workshop focused on practical usage. The course will not cover:
- Kubernetes API development
- Cluster installation or administration in production environments
- Advanced operational or DevOps topics
The goal is to provide a solid user-level foundation for running applications and AI workloads on Kubernetes.
| 28 April 2026 | Content |
| 13:00 – 16:00 | Configuring a local cluster in your computer (Optional) |
| 29 April 2026 | |
| 09:00 – 09:40 | Introduction to Kubernetes: Architecture, Components and Flavors (Theory) |
| 09:40 – 10:50 | Introduction to Kubernetes: Concepts (Theory) |
| 10:50 – 11:00 | Short Break |
| 11:00 – 12:00 | Hands-on 1: Deploying Jupyterhub, Prometheus and Grafana |
| 12:00 – 13:15 | Lunch break |
| 13:15 – 14:45 | Hands-on 2: Deploying an AI model and MLflow |
| 14:45 – 15:00 | Q&A session |
More events & contact
Check out more upcoming events from ENCCS and our European network at https://enccs.se/events, as well as our lessons, suitable also for self-learning.
For questions regarding this workshop or general questions about ENNCS training events, please contact training@enccs.se
Schedules can change!
To ensure that everyone has the opportunity to participate, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering.
Please send us an email at training@enccs.se to cancel your attendance.
We understand things can change, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists.
Regulations
Due to EuroCC2 regulations, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration.
This training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.
