How to build and deploy your first AI/ML model on Ubuntu

An introduction to AI and ML workloads on Ubuntu workstations, servers and in the cloud on a Kubernetes stack.

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What you’ll learn

An end-to-end demo that will walk you through setting up a scalable model training environment, where you’ll learn:

  • How to get started with model training using a Kaggle experiment
  • How to deploy a machine learning stack: Kubeflow on top of a minimal Kubernetes (Microk8s)
  • How to train models locally and in the cloud, and move seamlessly between the two

At the end of this demo, you’ll end up with a summary of commands to quickly and efficiently launch machine learning environments.