Understanding functional and technical aspects of Professional Machine Learning Engineer - Google ML Solution Architecture

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

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

Professional Machine Learning Engineer - Google Certification Path

The associate level certification is focused on the fundamental skills of deploying, monitoring, and maintaining projects on Google Cloud. This certification is a good starting point for those new to cloud and can be used as a path to professional level certifications.

Professional certifications span key technical job functions and assess advanced skills in design, implementation, and management. These certifications are recommended for individuals with industry experience and familiarity with Google Cloud products and solutions.

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Professional Machine Learning Engineer - Google Certified salary

The estimated average salary of Professional Machine Learning Engineer - Google is listed below:

• India: 8,580,000 INR
• United States: 114,000 USD
• England: 87,200 POUND
• Europe: 97,000 EURO

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

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Google Professional-Machine-Learning-Engineer Exam Syllabus Topics: