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.
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Important : uCertify is an independent training provider. We do not own, administer, or have any control over the certification exams themselves.
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
Our integrated labs offer a non-production, risk-free environment to practice, develop, and refine your skills.
Stand Out to Employers
Earn an industry-recognized course completion certificate that proudly announces your brilliance to the world.
Networking Opportunities
Add an industry-recognized certification to your professional profile and receive an invitation to global networking events.
Guaranteed Success
Our hands-on training is designed to help you pass the industry-recognized certification exam on your first attempt.
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
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.