GCP Pro MLGoogle Cloud Professional ML Engineer
Design and productionize ML models on Google Cloud
CertPath Score
8.5
/10
About this certification
The GCP Professional ML Engineer validates the ability to design, build, and productionize ML models using Google Cloud's AI platform. Google Cloud is the strongest hyperscaler for ML workloads — this cert validates expertise in Vertex AI, BigQuery ML, and TensorFlow on GCP.
What you'll validate
- ✓Vertex AI
- ✓BigQuery ML
- ✓TensorFlow / PyTorch on GCP
- ✓MLOps and model monitoring
- ✓Responsible AI practices
Pros & Cons
Advantages
- +Google's ML infrastructure is best-in-class
- +2-year validity
- +Vertex AI is rapidly growing in enterprise
Disadvantages
- −Less demand than AWS ML cert overall
- −GCP-specific
Who it's for
Best for
- →ML engineers working in GCP environments
- →Those targeting data/AI roles in Google Cloud shops
Not ideal for
- ×AWS/Azure shops
- ×Beginners to ML
Career paths this unlocks
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Jobs for GCP Pro ML holders
GCP Pro ML holders report $10k–$30k+ salary uplift on average.
LinkedIn Jobs
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Indeed
Dice (tech roles)
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Job links open external sites. Search results are live and not curated by CertPath.
Quick Facts
- Exam Cost
- $200
- Exam Duration
- 120 minutes
- Questions
- ~50
- Passing Score
- Not publicly disclosed
- Exam Format
- Multiple Choice
- Study Time
- ~180 hours
- Validity
- 2 years
- Salary Impact
- Strong ($10k–$30k+ uplift reported)
Prerequisites
- !3+ years ML experience, 1+ years GCP
- !GCP ACE recommended
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