Certification details
A Professional Machine Learning Engineer designs, builds, and productionises ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer is proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation and needs familiarity with application development, infrastructure management, data engineering, and security.
The Professional Machine Learning Engineer exam assesses your ability to:
- Frame ML problems
- Architect ML solutions
- Prepare and process data
- Develop ML models
- Automate & orchestrate ML pipelines
- Monitor, optimise, and maintain ML solutions
Step 1 - Sit the following two courses:
Step 2 - Review official GCP digital content:
Use the self study digital content to help give you the best chance of passing the exam.
Step 3 - Take the following exam:
Speak to your account manager to purchase.
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