AI has been a popular topic, but there haven't been a lot of true engineering explanations behind it all.

For example, what systems can it run on, and more importantly, how can it run efficiently?

What's the engineering behind AI, GenAI, ML, and LLM's that make it all "tick"?

In this session, you will learn from an engineering perspective how AI and ML work under the hood on Kubernetes.

You'll learn about:
- Kubeflow
- How to train Models on Kubeflow
- Why Kubernetes is the perfect AI/ML platform
- How organizations save money by training models on AI/ML
- Installation steups

and perhaps most importantly, how it all ties into Kubernetes.

The combination of AI and Kubernetes isn't just a fad anymore, it's a topic that can be truly embraced by all engineers.

Join Michael Levan, Consultant, Trainer, and Content Creator on how you can truly understand how the most popular stack is truly working.