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The benefit of obtaining the Professional Machine Learning Engineer - Google Certification
- 87% of Google Cloud certified individuals are more confident about their cloud skills
- 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
Reference: https://cloud.google.com/certification/guides/machine-learning-engineer
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Preparation Process
The candidates for the Google Professional Machine Learning Engineer certification can find everything they need to efficiently prepare for the qualifying test on the official website. The most recommended resource offered by the vendor is the Machine Learning Engineer learning path. It contains both lessons and practical labs for a comprehensive understanding of the exam content. Moreover, the students can take advantage of the sample questions designed to help the potential test takers familiarize themselves with the possible exam questions. Finally, the applicants can opt for the Machine Learning Engineer Prep Webinar to join the Google experts and recently certified professionals for the tips and insights on the Machine Learning models, data processing systems, solution quality, and more.
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Google Professional-Machine-Learning-Engineer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Designing ML solutions | - Framing ML problems
|
| Deployment and operations | - Model deployment
|
| ML model development | - Evaluation
|
| Data preparation and processing | - Data ingestion and pipelines
|
| ML pipeline automation and orchestration | - Pipeline design
|



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