The benefit of obtaining the Professional Machine Learning Engineer - Google Certification

• Professional Cloud Architect was the highest paying certification of 2020 and 2019
• More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work
• 87% of Google Cloud certified individuals are more confident about their cloud skills

Reference: https://cloud.google.com/certification/guides/machine-learning-engineer

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The Google Professional Machine Learning Engineer certification is developed to validate the ability of the specialists to design, build, and productionize the Machine Learning models to solve business challenges with the help of Google Cloud technologies as well as their knowledge of the proven Machine Learning models & techniques. Specifically, this certificate equips the candidates with an understanding of all the aspects related to data pipeline interaction, model architecture, as well as metrics interpretation. It also provides the target individuals with the comprehension of the basic concepts of application development, data engineering, infrastructure management, and data governance. To get certified, the individuals need to take one qualifying exam.

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The following will be discussed in Google Professional-Machine-Learning-Engineer exam dumps:

• Optimizing data use and storage
• Design architecture that complies with regulatory and security concerns
• Choose appropriate Google Cloud software components
• Design reliable, scalable, highly available ML solution
• Logging/management
• Serving
• Selection of quotas and compute/accelerators with components
• Automation
• Choose appropriate Google Cloud hardware components
• Privacy implications of data usage
• SDLC best practices
• Identifying potential regulatory issues
• Data connections
• Automation of data preparation and model training/deployment
• Exploration/analysis
• A variety of component types - data collection; data management
• Monitoring
• Feature engineering
• Building secure ML systems

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