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A guide to
putting together a continuous ML stack

Itay Ben Haim

Itay Ben Haim

ML engineer

@Superwise

April 19th

1:00 PM ET

Workshop

In this workshop, we'll take a dive into MLOps CI/CD + CT pipeline automation. In part 1, we’ll focus on how to put together a continuous ML pipeline to train, deploy, monitor, and retrain your models. Part 2 will focus on automations and production-first insights to detect and resolve issues faster.

Repos will be provided after the event.

What will you learn:
  • How to build a continuous MLOps stack
  • Platform and tool alternatives for each step
  • Considerations for scaling up
  • Production-first insights and automations

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