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.
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.