Databricks · Professional Certification · Professional
Databricks Certified Machine Learning Professional
Crydd Score 63
Demand Growing
Career Value High
Recognition Strong
Databricks ML Professional at a glance
- Provider
- Databricks
- Credential type
- Professional Certification
- Exam required
- Yes
- Category
- Machine Learning
- Level
- Professional
- Cost
- $200
- Difficulty
- Advanced
- Time to earn
- 2–4 months
- Validity
- 2 years
- Format
- 59 scored multiple-choice questions, 120 minutes; online or test centre
- Prerequisites
- None; Databricks recommends 1+ year of hands-on machine learning work and its training
What is Databricks ML Professional?
Databricks' professional machine learning certification: developing models, running them in production with MLOps practices such as MLflow tracking and monitoring, and deploying them on Databricks.
Skills it covers
- Model development
- MLOps on Databricks
- MLflow
- Model deployment
- Feature engineering at scale
Is Databricks ML Professional worth it? The Crydd Verdict
CS 63Choose it if
You build and operate machine learning on Databricks and want the senior credential after the ML Associate.
Consider alternatives if
Your ML runs on a cloud provider's platform: AWS's ML Engineer or Google's Professional ML Engineer.
Why we say so
MLOps is where many machine learning projects stall, and this exam gives nearly half its weight to it.
Market demand
Machine learning engineers with production MLOps experience are in high demand; Databricks is common in larger organisations' ML platforms.
Where Databricks ML Professional takes you
- Machine Learning Engineer
- MLOps Engineer
- Data Scientist
Career roadmaps show where this certification fits in each path. See the roadmaps.
Related certifications
Curated connections from the catalog — each labelled with how it relates to Databricks ML Professional, so you know why it’s here.
Careers Databricks ML Professional leads to
The professional paths this certification genuinely serves — browse every relevant credential for each.
A sensible order
Where Databricks ML Professional sits on the path — build up, then step on.
Build the foundation first
Earlier steps on the same path
