Google Cloud ML Certification Training
Learn to architect low-code AI solutions, scale prototypes, and automate pipelines in our Google Cloud course(s) for Machine Learning (ML) engineers.
Our Google Certification Training Key Features
- 50+ interactive items to quiz you
- Integrated labs for hands-on experience
- Simulated real-world scenarios
- Take tests under exam-like conditions
- Immediate remediation and feedback
- Flexible, Self-Paced
GCP Professional ML Engineer Certification Overview
Exam Objectives
Architecting low-code AI solutions
Collaborating within and across teams to manage data and models
Scale prototypes into ML models
Serve and scale models
Automate and orchestrate ML pipelines
Monitor AI solutions
Exam Details
| Number of Questions |
50-60 |
| Passing Score |
70% |
| Time Duration |
120 minutes |
Why Join uCertify’s GCP PML Engineer Training?
As an award-winning learning platform, we’re continuously updating our products to stay ahead of the trends and competition.
Skill Development
Stand Out to Employers
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Guaranteed Success
Jobs You Can Apply For With Google ML Certification
Machine Learning Engineer
AI/ML Specialist
Data Scientist
Cloud AI Engineer
AI Solutions Architect
Big Data Engineer
Deep Learning Engineer
Cloud Machine Learning Specialist
AI Consultant
Data Engineer
Customer Testimonials
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Co-Founder
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Jose Luis barrero correa
Project Manager
It’s recommended to have 3+ years of experience, with at least 1 year spent designing and managing solutions on Google Cloud.
Absolutely! It validates your skills in ML and cloud computing technologies, advancing your career in AI and ML fields.
Yes, you’ll need to recertify every two years by retaking the exam. You can start the process 60 days before your certification expires.
The average GCP Professional Machine Learning engineer salary varies, but it ranges between $110,000 and $150,000 annually, depending on experience and location.