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VERSION:2.0
PRODID:-//CERN//INDICO//EN
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SUMMARY:Hands-on Kubernetes as a User
DTSTART:20260429T070000Z
DTEND:20260429T130000Z
DTSTAMP:20260424T212000Z
UID:indico-event-467@spectra-indico-teszt.hinfra.hu
DESCRIPTION:About the event:\nKubernetes is the backbone of modern infrast
 ructure\, 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.\nIn this highly practi
 cal workshop\, you will learn how to use Kubernetes from a user perspectiv
 e. The course combines short theoretical introductions with guided hands-o
 n exercises where you will configure a local cluster in your computer\, de
 ploy services\, and run real workloads. By the end of the workshop\, you w
 ill have a working environment on your own machine and practical experienc
 e deploying interactive tools\, monitoring solutions\, and AI workloads.\n
 Who is this for?\nThis workshop is intended for:\n\n\nAI/MLOps engineers\,
  Researchers\, data scientists working with AI\, machine learning\, data s
 cience\, or scientific computing\n\n\nUsers of HPC or cloud environments w
 ho want to understand Kubernetes-based platforms and deploy their own stac
 k without waiting for an infrastructure team.\n\n\nAnyone interested in ML
 Ops\, reproducible workflows\, and scalable application deployment\n\n\nBe
 ginners to Kubernetes who want a practical\, user-level introduction\n\n\n
 No prior Kubernetes experience is required.\nKey takeaways for participant
 s:\n\n\nUnderstand what Kubernetes is\, its architecture\, core components
 \, and different deployment flavors\, including how it is used in multi-te
 nant environments (e.g.\, LUMI-K)\n\n\nLearn important Kubernetes concepts
  such as namespaces\, pods\, deployments\, jobs\, storage\, and scaling\n\
 n\nUnderstand the Kubernetes networking model\, including services\, ingre
 ss\, and load balancing\n\n\nBe able to read\, write\, and modify YAML man
 ifests to deploy and manage applications\n\n\nDeploy and use JupyterLab fo
 r interactive computing inside a Kubernetes cluster\n\n\nSet up Prometheus
  and Grafana to monitor cluster resources and workloads\n\n\nDeploy a simp
 le AI model and quickly track experiments using MLflow\n\n\nGain practical
  experience working with a local Kubernetes cluster on your own machine\n\
 n\nPrerequisites:\n\n\nParticipants should:\n\n\nHave a laptop with Window
 s (WSL)\, macOS\, or Linux\n\n\nHave administrative privileges on the syst
 em\n\n\nInstall the required tools before the workshop (instructions will 
 be provided)\n\n\nBasic knowledge of containers (e.g.\, Docker) is helpful
  but not required. Relevant concepts will be introduced during the worksho
 p.\n\n\nNotes:\nThis is a 5-hour hands-on workshop focused on practical us
 age. The course will not cover:\n\n\nKubernetes API development\n\n\nClust
 er installation or administration in production environments\n\n\nAdvanced
  operational or DevOps topics\n\n\nThe goal is to provide a solid user-lev
 el foundation for running applications and AI workloads on Kubernetes.\nDi
 sclaimer\nDue to EuroCC2 regulations\, we CAN NOT ACCEPT generic or privat
 e email addresses. Please use your official university or company email ad
 dress for registration.\nThis training is for users that 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.\n\nhttps://spe
 ctra-indico-teszt.hinfra.hu/event/467/
LOCATION:Online
URL:https://spectra-indico-teszt.hinfra.hu/event/467/
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