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

Key Value
image
image_width
image_height
meta_image https://assets.ubuntu.com/v1/51db08e5-facebook_and_linkedin_banner+(3).jpeg
meta_copydoc https://docs.google.com/document/d/1BMqxhCOJfT43Mj2MFNgdM0X0c0rUYmBQBLeYFTCKfKY/edit
banner_class dark
form_id
resource_url
webinar_code 336267
primary_cta Register now
primary_link #register-section

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.