Navigating MLOps with Databricks
Hosted by Maria Vechtomova and Başak Eskili
Learn directly from Maria Vechtomova and Başak Eskili
Go deeper with a course
End-to-end MLOps with Databricks
Maria Vechtomova and Başak Eskili
MLOps Tech Lead | Databricks Beacon | 10+ years in Data & AI. Senior ML Engineer | 7+ years in Data & AI
148 students
Go deeper with a course
End-to-end MLOps with Databricks
Maria Vechtomova and Başak Eskili
MLOps Tech Lead | Databricks Beacon | 10+ years in Data & AI. Senior ML Engineer | 7+ years in Data & AI
What you'll learn
MLOps components and principles
Understand main MLOps components and why you need them
MLOps on Databricks
Understand how MLOps principles can be followed on Databricks
Model serving architectures on Databricks
Deep-dive into various model serving architectures on Databricks and how those can be implemented
Why this topic matters
Implementing MLOps practices elevates data scientists and speeds up time to production. We've seen this throughout our careers. MLOps is not about what tools you use, it is about how you use them to follow MLOps principles.
Databricks is the leading Data & AI platform, and has all the components needed for MLOps
You'll learn from
Maria Vechtomova
MLOps Tech Lead, Databricks MVP
10+ years of experience in Data & AI. Writing an O'Reilly book on MLOps with Databricks.
Başak Eskili
ML Engineer
6+ years of experience in ML engineering. Currently ML engineer at Booking.com
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