google \u00b7 Cert prep
Google Cloud: Professional Machine Learning Engineer
Pass PMLE. Architect ML pipelines on Vertex AI from ingestion through serving.
PMLE
Google Cloud
120 min
US$200 attempt
professional
ML engineers on GCP
60–80 hours self-study
self-study
Mentor-led, hands-on
8-week mentor-led PMLE bootcamp
- Build & ship one Vertex AI Pipelines project on your own data
- Weekly mock exam blocks with detailed answer review
- Pass-or-second-cohort-free guarantee
from US$1,990 / candidate
Start a cohortWhat you’ll be able to do
- Architect ML pipelines on Vertex AI from ingestion through serving
- Tune, evaluate, and monitor models against business KPIs
- Apply MLOps practices: lineage, drift, retraining, governance
- Integrate generative AI (Gemini, Agent Builder) into production workflows
Exam domains
50–60 multiple-choice / multi-select. Pass mark not published; estimate 70%.
Architecting low-code AI solutions
AutoML, BigQuery ML, no-code Vertex AI
Collaborating within & across teams
Stakeholder mgmt, model cards, MLOps culture
Scaling prototypes into ML models
Training pipelines, hyper-param tuning, distributed
Serving & scaling models
Endpoints, batch, edge, A/B, latency
Automating & orchestrating ML pipelines
Vertex AI Pipelines, CI/CD, lineage
Monitoring AI solutions
Drift, fairness, cost, SLOs
Self-paced partner courses
Want to prep solo first? Our partner courses are independent options \u2014 the mentor cohort above is our flagship offering.
Coursera
University-led courses & specializations. Best for structured, multi-week prep.
One transactional email when this partner goes live, then nothing. No marketing sequence.
Privacy policyLinkedIn Learning
Short, modular videos linked to your LinkedIn profile. Best for quick top-ups.
One transactional email when this partner goes live, then nothing. No marketing sequence.
Privacy policyRecommended reading
- Google Cloud official PMLE exam guide (PDF)
- Google Cloud Skills Boost: "Machine Learning Engineer Learning Path"