A Professional Machine Learning Engineer designs, builds, and produces 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 should be familiar with application development, infrastructure management, data engineering, and security.
3+ years of industry experience, including 1+ years of designing and managing solutions on GCP.
Before you attempt the exam, hands-on experience with Google Cloud products and solutions is recommended. You can build free products here.
You can review the exam guide here.
You can view the preferred learning path here.
You can attend a webinar by registering here.
You can view the additional resources on the concepts and critical components of GCP by visiting:
You can view the sample questions for this certification here.
You can register for your exam here.
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