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

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.

Ready to drill now? Open Practice →

In this section

• ML-PRO Cheatsheet — Production ML on Databricks (Features, Registry, Deployment, Monitoring)
  Last-mile ML-PRO review: feature pipeline patterns, MLflow registry and promotion workflows, batch vs online deployment pickers, monitoring/drift decision rules, and governance essentials.
• ML-PRO FAQ — Databricks Machine Learning Professional Questions Answered
  Common ML-PRO questions answered: prerequisites, what to focus on (MLOps, governance, deployment), how long to study, and how to practice effectively.
• ML-PRO Overview — What’s Tested, Common Traps & How to Prepare
  Everything to know before Databricks Machine Learning Professional (ML-PRO): production ML focus areas (features, governance, deployment), common traps, and a practical prep funnel.
• ML-PRO Practice — Topic Drills & Mixed Sets
  Open the practice app for Databricks Machine Learning Professional (ML-PRO). Start with topic drills, then move to mixed sets to build exam pacing.
• ML-PRO Resources — Official Databricks MLOps Docs
  Official resources for Databricks Machine Learning Professional (ML-PRO): certification pages and Databricks documentation for MLflow registry, model serving, feature management, and MLOps practices.
• ML-PRO Study Plan (30 / 60 / 90 Days)
  A practical ML-PRO study plan you can follow: 30-day intensive, 60-day balanced, and 90-day part-time schedules with weekly focus and MLOps-first practice tips.
• ML-PRO Syllabus — Learning Objectives by Topic
  Blueprint-aligned learning objectives for Databricks Machine Learning Professional (ML-PRO), organized by topic with quick links to targeted practice.
• ML-PRO Updates — Blueprint & Content Changes
  Track changes to the ML-PRO study hub: syllabus mapping, cheat sheet refinements, practice coverage, resources, and copy updates.