Supercharge your MLOps with W&B Tracking and ZenML Pipelines
What to expect?
Have you ever wondered how to transition your W&B tracking workflow from experimentation to production? Or perhaps you’ve struggled to monitor and track your MLOps pipelines in production. In this webinar, the team from ZenML and W&B will show an exemplary workflow on how to use W&B in a production environment with ZenML pipelines. We will walk through setting up a collaborative ML pipeline in experimentation, using the ZenML W&B integration to track and monitor your pipeline steps, and then transitioning this workflow to a production setting.
About the Guest Speaker
Hamza Tahir is a software developer turned ML engineer. An indie hacker by heart, he loves ideating, implementing, and launching data-driven products. His previous projects include PicHance, Scrilys, BudgetML, and you-tldr. Based on his learnings from deploying ML in production for predictive maintenance use-cases in his previous startup, he co-created ZenML, an open-source MLOps framework to build portable, production-ready MLOps pipelines.