Google Cloud Machine Learning (ML) & AI
Machine Learning Engineers design, build, productionize, optimize, operate, and maintain ML systems.
Professional ML Engineers design, train, deploy, monitor, and improve ML models to create scalable solutions that solve business challenges using Google Cloud technologies and proven ML models and techniques. ML Engineers consider responsible AI throughout the ML development process, and collaborate closely with other job roles. ML Engineers are proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation, and are familiar with foundational concepts of app development, infrastructure management, data engineering, and data governance.
The «Professional Machine Learning Engineer» exam assesses your ability to:
- Frame ML problems
- Architect ML solutions
- Design data preparation and processing systems
- Develop ML models
- Automate and orchestrate ML pipelines
- Monitor, optimize, and maintain ML solutions