Databricks MLDatabricks Certified Machine Learning Associate
ML engineering on the Databricks Lakehouse platform
CertPath Score
8.2
/10
About this certification
The Databricks Machine Learning Associate validates skills in using the Databricks platform for ML workflows — including MLflow, feature engineering, model training, and model serving. As Databricks becomes the standard ML platform at large enterprises, this certification carries growing weight.
What you'll validate
- ✓Databricks platform and workspace
- ✓MLflow experiment tracking
- ✓Feature engineering on Databricks
- ✓Model training with Spark ML and scikit-learn
- ✓Model deployment and serving
- ✓Delta Lake integration
Pros & Cons
Advantages
- +Databricks is widely adopted by Fortune 500 data teams
- +MLflow is the de facto ML experiment tracking standard
- +Validates platform-specific skills that are hard to demonstrate on a resume
Disadvantages
- −Platform-specific — requires Databricks environment
- −Less recognized by non-data employers
Who it's for
Best for
- →ML engineers working on Databricks platforms
- →Data scientists in enterprise data lakehouse environments
Not ideal for
- ×Those not using Databricks
- ×ML beginners without platform experience
Career paths this unlocks
Study Resources
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Jobs for Databricks ML holders
Databricks ML holders report $10k–$30k+ salary uplift on average.
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Quick Facts
- Exam Cost
- $200
- Exam Duration
- 120 minutes
- Questions
- ~45
- Passing Score
- 70% (32/45)
- Exam Format
- Multiple Choice
- Study Time
- ~100 hours
- Validity
- 2 years
- Salary Impact
- Strong ($10k–$30k+ uplift reported)
Prerequisites
- !Python proficiency; ML fundamentals; basic Spark knowledge recommended
Provider
Databricks
Data and AI certifications on the Lakehouse platform
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