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Databricks Certified Machine Learning Professional (ML-PRO) — Study Hub

Blueprint-aligned ML-PRO prep: overview, objective-by-objective syllabus, a comprehensive production ML cheat sheet (feature stores, governance, MLflow registry, deployment), 30/60/90-day study plan, FAQs, resources, and practice.

Meet your Databricks Machine Learning Professional (ML‑PRO) home base. This hub is built for production ML on Databricks: feature management, governance, and deployment/operations at scale.

What you’ll find here

  • Overview : what’s tested, who it’s for, and how to prepare efficiently.
  • Study Plan : 30/60/90‑day schedules with weekly focus + practice integration.
  • Syllabus : objective-by-objective breakdown organized by topic with quick links to drills.
  • Cheatsheet : high-yield MLOps pickers: registry, feature stores, deployment, monitoring, and governance.
  • Practice : topic drills and mixed sets to build pacing.
  • FAQ : common questions on prerequisites, difficulty, and strategy.
  • Resources : official Databricks MLOps docs.
  • Updates : content changes and syllabus mapping updates.

What ML‑PRO emphasizes (in one paragraph)

Expect scenario questions about building end-to-end ML systems: reusable features, repeatable training, governed model lifecycle, safe deployments (batch/real-time), and monitoring. If a solution is missing versioning, access control, lineage, or rollback, it’s rarely the best answer.

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In this section

ML Associate (ML-ASSOC)